Job intelligence
VP, Analytics, Data Science & AI Data Enablement
Walker & Dunlop
Executive opportunity brief
The decision in one screen
A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.
Fast read
Opportunity DNA
The strongest upside: pay compares strongly with similar current roles. The main trade-off: the experience requirement raises the entry bar.
Around the 87th percentile within 474 comparable USD salary observations.
No material geography, office-attendance or timezone restriction is visible in the available wording.
One or more material qualification requirements are stated and may narrow the realistic applicant pool.
Sponsorship and relocation support are not clear from the current listing.
Part of the application route can be assessed, but the full external process may contain additional steps.
At least one recent enabled source can still renew this vacancy.
This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.
Decision evidence check
5 of 5 core facts stated
This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.
Facts already stated
- Compensation
- Work arrangement
- Advertised location
- Application closing time
- Employment type
Core evidence complete
All five core facts are stated. Other details can still matter, so continue with the qualification, mobility, employer and application checks below.
Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.
Decision levers
What could make or break the fit?
Reasons to look closer
- Pay compares strongly with similar current roles: The annualized midpoint is around the 87th percentile among 474 comparable USD salary observations.
- Location flexibility looks unusually broad: The available wording supports high Remote Freedom without a material geography, office-attendance or timezone restriction showing up.
Trade-offs to weigh
- The experience requirement raises the entry bar: The listing appears to require at least about 7 years of experience.
Questions worth asking before you invest more time
- Ask whether visa sponsorship is available before investing significant time in the application.
These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.
Opportunity neighborhood
Keep your options open
These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.
Director IT, Internal Audit
Instacart · USA
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
About 4% lower advertised midpoint
Associate Director, Content Business Analysis
AlphaSense · USA
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
About 15% lower advertised midpoint
Consultant Relations VP
Garner Health · USA
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
About 63% higher advertised midpoint
Principal Engineer (AI, Office of the CEO)
Jobber · USA
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
About 12% higher advertised midpoint
This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.
Role market context
How much current choice is visible around this kind of work?
This compares the vacancy with current High Paid Job inventory in the broad Executive leadership roles family. It describes visible choice and disclosure, not future demand or career quality.
200 most recent current roles sampled for the disclosure measures below.
Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.
Current sampled roles stating at least four of the five Core Decision Facts.
Requires a numeric amount, explicit ISO currency and supported pay period.
Listings with explicit enough remote, hybrid or on-site evidence to classify.
Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.
Currencies with explicit pay evidence in the sample: USD (79) · EUR (6) · GBP (2) · CAD (1). Raw amounts across different currencies are not compared.
This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.
Constraint opportunity lab
What changes the size of the current opportunity pool?
Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.
Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.
A much stricter subset: only listings with explicit worldwide-remote evidence remain.
Only same-currency opportunities with usable annualized pay enter this comparison. Other currencies are not converted or treated as lower.
Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.
Shows the subset with enough stated evidence for a more informed first comparison.
Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.
Uses only roles with a stated employment type.
Includes roles whose seniority is genuinely unspecified rather than assuming they belong to another level.
These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 1828 visible roles in this broad family.
Salary transparency context
Is pay disclosure typical for this kind of role?
This listing states usable structured compensation. About 44% of the bounded current role sample does the same.
Compensation counts only when amount, ISO currency and supported pay period are all known.
Pay disclosure is limited in the current role sample.
Employer-level comparison is withheld until enough current employer listings are available.
This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.
Private offer & negotiation lab
Turn an offer into evidence, not guesswork
Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.
Negotiation evidence available: advertised pay range, current same-currency market context, strong decision evidence.
Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.
Review the full package · 10 terms
Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.
Usable advertised compensation is available.
Variable compensation is mentioned; verify amount, formula, target and eligibility.
Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.
Retirement or pension benefits are mentioned; verify employer contribution and vesting.
Health-benefit language is mentioned; verify coverage, dependants and employee cost.
Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.
A work-arrangement signal is available; verify schedule details before relying on it.
Relocation support not established
Sponsorship not established
A review cycle is mentioned; verify timing and whether compensation can change at that review.
Questions worth taking into the offer conversation
- If relocation is relevant, what expenses, timing and repayment conditions are covered?
- What exact sponsorship or work-authorization conditions apply to this role?
- When is the first performance and compensation review after joining?
Occupation intelligence
What broader career references connect to this role?
HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.
European occupation references
- chief operating officer
- brokerage firm director
- chief executive officer
- gambling manager
- animal facility manager
This service uses the ESCO classification of the European Commission.
U.S. occupation references
- Chief Executives 11-1011.00
- Chief Sustainability Officers 11-1011.03
- Fashion Designers 27-1022.00
- General and Operations Managers 11-1021.00
- Sales Managers 11-2022.00
This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.
Career reference research
Skills worth investigating
Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.
ESCO · European occupation
chief operating officer
Usually essential in this ESCO occupation
- establish collaborative relations
- marketing management
- make strategic business decisions
- financial statements
- ensure lawful business operations
- integrate strategic foundation in daily performance
- track key performance indicators
Context-dependent ESCO skills
- financial management
- implement operational business plans
- apply import strategies
- assume responsibility for the management of a business
- analyse financial performance of a company
O*NET · U.S. occupation
Chief Executives
O*NET occupation skills
- Judgment and Decision Making
- Complex Problem Solving
- Critical Thinking
- Coordination
- Management of Financial Resources
- Management of Personnel Resources
- Speaking
- Systems Evaluation
Build my private skill preparation brief Your evidence · Practice · Interview questions
Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.
Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.
Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?
These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.
Skill bridge
What does this role connect to?
AWS is one of the signals this listing shares with skills appearing often across current Executive leadership roles opportunities.
Skills named in this listing
Shared with the current career sample
- AWS Seen in 12 sampled listings
- Python Seen in 8 sampled listings
- SQL Seen in 10 sampled listings
Additional signals in this listing: Machine Learning · Power BI · Snowflake · Tableau
Application edge
- If these skills match your background, prepare one concrete example that shows how you used AWS, Machine Learning, and Power BI rather than relying on a keyword-only claim.
- The listing states about 7 years of required experience. Check that the dates and scope in your application make that experience easy to verify.
Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 73 contain a recognized skill signal.
Application Decision Lab
Turn the listing into a preparation plan
Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.
At least about 7 years of experience required
The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.
Degree preference stated
The listing describes a degree as preferred rather than clearly mandatory. Prepare the strongest relevant evidence you have, and verify whether equivalent experience is acceptable.
AWS
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Machine Learning
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Power BI
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Python
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Snowflake
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
SQL
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Questions worth resolving before you rely on the opportunity
- Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
- Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?
Decision analysis
What the listing really tells you
The headline alone does not tell the whole story for VP, Analytics, Data Science & AI Data Enablement at Walker & Dunlop. The clearest decision context comes from compensation has enough depth for comparison, remote flexibility can be weighed properly, and the entry path is becoming clearer.
Compensation has enough depth for comparison
Among 474 current comparable salaries in USD, the normalized annual midpoint is around the 87th percentile. This compares advertised pay in the same currency and does not include every element of total compensation.
Remote flexibility can be weighed properly
Location flexibility can be assessed here: Highly location-flexible, with a Remote Freedom reading of 96/100.
The entry path is becoming clearer
Degree preference stated · At least about 7 years of experience required · 1 additional stated barrier. Unstated education or experience requirements stay open rather than being assumed.
The visible application effort can be estimated
Provider-mediated application path. The external application may contain additional steps that are not visible from the listing itself.
The listing can be traced to a current source
1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.
How this analysis is assembled
The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.
Analysis evidence coverage
How much analysis can the current evidence support?
Uses the explainable High Pay Score within the job’s current occupation/seniority/currency comparison sample.
Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.
The configured source supplied structured salary fields, a usable currency and a focused comparison value.
The source posting date is today.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.
Decision checklist
What is supported, uncertain or worth checking?
This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.
Supported strengths
- Advertised pay is above much of the current comparable disclosed-salary sample.
- The available work-location evidence indicates strong location flexibility.
Visible cautions
- The listing appears to require substantial prior experience.
- The description appears to mention an advanced degree requirement or preference.
- At least about 7 years of experience required
Still unknown
- Visa sponsorship is not established by the available listing data.
Pay vs. barriers
Strong pay with stated barriers to weigh
Pay compares strongly, but qualification or location constraints are also visible. Higher pay does not erase those practical requirements.
Comparable disclosed-pay evidence places this job at about 87 / 100 within its current occupation/seniority sample.
1 explicit required barrier is visible in the available wording.
The listing states at least about 7 years of required experience.
This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.
Beyond the headline
Strong multidimensional signals
The role combines a strong current pay position with at least one clear non-pay advantage. Whether that makes it a better choice depends on your priorities.
The annualized salary midpoint is at or above about 87% of the current comparable disclosed-salary sample.
The observable Remote Freedom evidence is strong and contains few explicit restriction signals.
Still check: At least about 7 years of experience required · The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.
Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.
Explainable opportunity highlight
Why this opportunity stands out
These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.
Its annualized salary midpoint is at or above about 87% of the current comparable disclosed-salary sample.
The source provides structured salary information with a comparatively focused range, improving the usefulness of pay comparisons.
The observable work-location signals indicate unusually strong location flexibility.
The source posting date is today.
Compensation intelligence
How competitive is this pay?
Above-market pay in current sample
The annualized midpoint is above the 75th percentile boundary of the current comparable sample.
The highlighted band is the middle 50% of the current comparable sample after the outlier guard. The dark marker is this job’s annualized salary midpoint.
Why this analysis?
- This score reflects the current advertised-pay distribution for comparable active jobs in the same currency. It measures pay position, not overall job quality.
- Salary confidence: High. The configured source supplied structured salary fields, a usable currency and a focused comparison value.
- Range quality: Focused salary range.
Employer compensation communication
Pay transparency at Walker & Dunlop
Only 1 current listing from this employer is indexed. At least three are required before employer-level pay transparency is summarized.
This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.
Current employer intelligence
Walker & Dunlop — current opportunity snapshot
Only 1 current listing from this employer is visible. At least three are needed before an employer pattern is shown.
This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.
Work-location intelligence
Remote Freedom
Highly location-flexible
Why this score?
- The source describes the role as open worldwide or globally.
Flexibility signals detected
- Worldwide or global remote eligibility is explicitly indicated.
Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.
International applicant intelligence
Visa & relocation signals
Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.
The available listing details do not contain a clear enough sponsorship statement.
The available listing details do not contain a clear enough relocation statement.
Tradeoff check
What’s the catch?
These are visible conditions worth checking before treating the headline compensation as the whole story:
- The listing appears to require substantial prior experience.
- The description appears to mention an advanced degree requirement or preference.
Current alternatives
Better-paying alternatives
These current roles show a materially higher annualized salary midpoint in the same broad occupation and currency. Similar seniority, country, work arrangement, employment type and recency are preferred where possible; higher pay alone does not make an alternative a better fit.
Consultant Relations VP
Garner Health · USA
Region-restricted remoteWhy comparable: Same seniority band · Similar work-location arrangement · Same employment type
Head of Strategic Partnerships, Tavily
Nebius · USA
Region-restricted remoteWhy comparable: Same seniority band · Similar work-location arrangement · Same employment type
Director of Strategic Accounts, Eastern U.S.
Motive · USA
Region-restricted remoteWhy comparable: Same seniority band · Similar work-location arrangement · Same employment type
Alternatives are drawn from the current inventory rather than presented as application recommendations. A pay difference needs to be meaningful—about 3% or more at the midpoint—and different currencies are not compared.
Application-path intelligence
What can we see about the application process?
Provider-mediated application path
The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.
Current destination: himalayas.app · HTTPS
No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.
Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.
Application safety context
Application safety check
Basic application-safety context available
The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.
Evidence checked: Source provenance · Application destination · Listing wording
Observable transport-safety signals
- The available application destination uses HTTPS.
Before you share money or sensitive information
- Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
- Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
- Do not pay application, processing, training or equipment fees merely to be considered for a job.
- Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
- Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.
This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.
Original listing details
The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.
Department:
WDTech - R&DWe are Walker & Dunlop. We are one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities — where people live, work, shop, and play — to life. We are committed to creating meaningful social, environmental, and economic change in our communities.
Department Overview
WDTech is Walker & Dunlop’s technology organization, bringing together product, design, engineering, data, infrastructure, information security, and operations to build, operate, and protect the technology that powers our business.
You will have the opportunity to apply modern technology and AI within one of the nation’s leading commercial real estate finance and advisory services firms. W&D’s market position, deep industry expertise, client relationships, and proprietary data provide a strong foundation for solving meaningful business problems, improving how we work and serve our clients, and creating new sources of competitive advantage.
Across WDTech, we combine business context with disciplined technology practices and a high standard for security, resilience, and quality. Teams have ownership of meaningful problems and collaborate across disciplines, make thoughtful decisions, and continuously improve the products, platforms, and capabilities that move W&D forward.
The Impact You Will Have
As the VP, Analytics, Data Science & AI Data Enablement at Walker & Dunlop (W&D), you will lead the company's Business Intelligence, Analytics, and Data Science functions while advancing how AI is used to analyze data and inform business decisions.
In this role, you will set the strategy for how W&D turns data into actionable insights, accelerates delivery, and expands access to trusted information across the organization. You will lead the development of modern analytics capabilities, establish consistent data definitions and governance standards, and enable business users and AI tools to access and interpret data reliably. By connecting analytics strategy with business priorities, you will help ensure that data-driven insights are timely, consistent, and accessible to the people and systems that depend on them.
Primary Responsibilities
- Set the vision and develop a phased roadmap for business intelligence, analytics, data science, and AI-assisted analysis aligned with W&D's strategic priorities.
- Establish an operating model for partnering with business lines to identify needs, prioritize initiatives, allocate resources, and deliver high-value analytics solutions.
- Define and maintain standards for analytical quality, key performance indicators (KPIs), business metrics, and reporting consistency across the organization.
- Improve the speed and quality of analytics delivery by establishing performance targets, measuring results, and identifying opportunities for continuous improvement.
- Oversee the development and delivery of business intelligence solutions, advanced analytics, and predictive models that support decision-making across capital markets, credit risk, servicing, sales, and other business functions.
- Lead the modernization of reporting and analytics capabilities, transitioning legacy reporting to scalable, governed business intelligence solutions.
- Enable business users to conduct AI-assisted analysis using governed data, with clear standards for accuracy, reliability, and appropriate use.
- Partner with Product, Engineering, and AI Enablement teams to integrate data and analytics into business workflows, providing the datasets, metrics, and analytical capabilities needed to support implementation and measure results.
- Establish practices for testing, validating, and monitoring analytical and machine learning models, while maintaining standards for data quality, governance, and access.
- Lead the development and maintenance of shared business definitions, metrics, and semantic frameworks to ensure consistent interpretation of data across reporting, analytics, and AI applications.
- Make trusted business context and data definitions accessible to analysts, business users, and AI tools to support consistent and reliable analytical results.
- Partner with AI Enablement, Data Engineering, and Product leaders to maintain the data structures, knowledge resources, and retrieval approaches needed to support AI-assisted analysis.
- Expand shared data definitions and analytical capabilities based on business priorities, established reporting needs, and evolving demand.
- Lead, coach, and develop analytics and data science leaders and their teams, establishing hiring and development plans aligned with organizational priorities.
- Provide technical direction and oversight by reviewing analytical models, queries, dashboards, and methodologies to ensure quality and effectiveness.
- Collaborate with Data Engineering and Product leaders to maintain reliable shared datasets, establish service expectations, and support the data infrastructure required for analytics and AI applications.
- Communicate analytics strategy, progress, performance, and business outcomes to executive leadership and key stakeholders in clear, actionable business terms.
- Perform other duties as assigned
Education and Experience
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field required; master's degree preferred.
- 12+ years of experience in data analytics, business intelligence, applied data science, or a related field, including at least 7 years of experience leading multiple teams.
- Demonstrated experience developing and executing analytics strategies aligned with business priorities and measurable organizational outcomes.
- Proven ability to improve analytics delivery, operational efficiency, and analytical quality.
- Experience implementing machine learning models, predictive analytics, and AI-assisted analysis in production environments.
- Demonstrated success recruiting, developing, and retaining high-performing analytics and data science teams.
- Experience with cloud data platforms, preferably AWS, and cloud analytical databases such as Amazon Redshift or Snowflake.
- Experience in commercial real estate, financial services, or capital markets preferred.
Knowledge, Skills and Abilities
- Strong knowledge of statistical analysis, machine learning, and data modeling, with the ability to evaluate analytical quality and provide technical direction.
- Working knowledge of business intelligence tools such as Power BI or Tableau, as well as SQL and Python.
- Practical understanding of modern AI analysis tools, their applications, and responsible practices for implementation and use.
- Strong knowledge of data governance, data quality, access controls, and analytical standards.
- Understanding of semantic layers, metric definitions, and business context required to support consistent reporting and AI-assisted analysis.
- Strong strategic thinking and problem-solving skills, with the ability to translate business priorities into actionable analytics initiatives.
- Excellent written and verbal communication skills, with the ability to explain complex analytical concepts and technical trade-offs to executive leadership, business stakeholders, and technical teams.
- Strong leadership and relationship management skills, with the ability to influence decisions, build partnerships, and collaborate across business functions.
- Ability to balance long-term strategic planning with technical oversight, operational priorities, and timely execution.
- Strong sense of ownership and accountability, with a results-oriented approach and commitment to delivering measurable business value.
- Ability to show ownership of your work, take on challenges and acknowledge growth opportunities, and demonstrate patience when learning new processes
- Courtesy, respect, and thoughtfulness in teaming with colleagues and other stakeholders
This position has an estimated base salary of $220,000 - $260,000 plus a discretionary bonus and stock compensation. An employment offer is based on the applicant’s relevant work experience, applicable knowledge, skills, abilities, internal equity, and alignment with market data.
What We Offer
The opportunity to join one of Fortune Magazine’s Great Places to Work winners
-
Comprehensive benefit options* that have earned Walker & Dunlop the gold level of the 2025 Cigna Healthy Workforce Designation™, some of which include:
- Up to 83% subsidized medical payroll deductions
- Competitive dental and vision benefits- 401(k) + match
- Pre-tax transit and commuting benefits
- A robust health and wellness program – earn cash rewards and gain access to resources that
promote health, engagement, and balance
- Paid maternity and parental leave, as well as other family paid leave programs
- Company-paid life, short and long-term disability insurance
- Health Savings Account and Healthcare and Dependent Care Flexible Spending Career development opportunities
Empowerment and encouragement to give back – volunteer hours and donation matching
*Eligibility may vary based on average number of hours worked
Equal Employment Opportunity Statement
We are committed to equity in all steps of the recruitment and employment experience. We believe in equal access to opportunities in our workplace. We do not tolerate discrimination, including harassment, based on any characteristic protected by applicable law, such as race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, and genetic information, or any other characteristic protected by applicable law. We strive to be a safe place to ask questions, build professional relationships, and develop careers.
SPAM
Please be wary of recruitment scams. An indication of a scam might be a request for sensitive or bank information at the time of application or emails coming from a non walkerdunlop.com email address. Please call us at 301.215.5500, if you have any concerns about information requested during or after the application process.
Fair Chance Hiring
Background checks, including any questions related to infractions, arrests, or conviction records, will not be conducted until after a conditional offer of employment has been accepted. We will consider for employment qualified applicants regardless of arrest and conviction records, in accordance with federal, state, and local laws.
Originally posted on Himalayas
Listing provenance
Where did this job come from?
See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
- Continuity
- One recent renewable source
- Source-class independence
- One renewable source class
- Last source observation
- Observed today
This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.
- 1 enabled source recently observed this vacancy.
Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.
The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.
Listing source: Himalayas. Destination: himalayas.app. The application opens in a new tab so you can keep this report open.