AI Data Engineer Visa Sponsorship Jobs in Washington DC
Washington DC's AI data engineer job market is shaped by federal agencies, defense contractors, and policy-driven tech firms. Major employers like Booz Allen Hamilton, Leidos, and Palantir actively hire for AI data engineering roles and have established visa sponsorship programs. The region's concentration of government-adjacent technology work makes DC a distinctive market for international candidates.
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Job Summary:
BDO is seeking a Director to join BDO's Cyber Trust & Transformation practice as a senior advisor and hands-on engagement leader across data privacy, data governance, AI governance, and digital safety. The role will lead and execute services ranging from strategy, risk assessments, and regulatory readiness through program and policy development, operating-model design, technology implementation, remediation, co-sourced and outsourced program leadership, and managed services.
This leader will advise multinational and domestic clients on complex data, cyber regulatory, artificial intelligence, and cross-border data issues while translating legal and regulatory obligations into practical governance, scalable processes, controls, and technology solutions. The Director is responsible for maintaining and expanding client relationships, creating proposals for new client opportunities, managing complex workstreams with limited oversight, delivering high-quality work, leading multidisciplinary teams, and ensuring engagements are delivered on time and on budget. The role will also develop BDO professionals and capabilities in these domains and collaborate across BDO's broader cyber, AI, data, risk, legal, and industry teams to drive integrated solutions and continued enhancement of BDO's services.
Job Duties:
- Serves as a trusted advisor to client boards, C-suite executives, privacy, data, AI, legal, technology, and business leaders on data privacy, data governance, AI governance, digital safety, cyber regulation, and responsible data use
- Leads client development and hands-on delivery of complex domestic and global engagements, including assessments, regulatory readiness, program and policy development, operating-model design, remediation, transformation, technology implementation, and managed services
- Designs, establishes, operates, and enhances privacy, data governance, AI governance, and digital safety programs, including governance, policies, inventories, notices and consent, rights requests, impact assessments, third-party risk, incident processes, controls, metrics, reporting, and sustainable operating models
- Advises on global privacy, data protection, cyber, and AI requirements—including cross-border transfers, localization, multinational data flows, high-risk processing, and regulatory inquiries—and translates obligations into practical processes, controls, technical requirements, and implementation plans
- Leads privacy and AI impact, maturity, gap, and governance assessments; directs data governance and digital safety initiatives; and embeds privacy, responsible AI, and data governance requirements into product, SDLC, model lifecycle, procurement, third-party risk, cloud, analytics, and change-management processes
- Leads the selection, design, configuration, integration, testing, deployment, adoption, and optimization of privacy, data governance, AI governance, GRC, consent, data discovery and mapping, rights-request, assessment automation, model inventory, and related platforms and enterprise workflows
- Leads all aspects of multiple complex engagements and client relationships with limited oversight, including scoping, contracting, planning, staffing, execution, quality review, financial management, executive reporting, risk and issue resolution, stakeholder communication, and transition to operations
- Builds and expands client relationships and practice capabilities through proposals and RFPs, cross-selling, thought leadership, reusable methodologies and offerings, collaboration across BDO teams, quality and risk management, and mentorship and development of high-performing professionals
- Travel up to 40%, as needed
- Other duties as required
Supervisory Responsibilities:
- Performs the following functions for team members ranging from Senior Managers through Associates:
- Supervises workload and staffing across assigned engagements and reviews work product, as needed
- Builds structured learning and development plans covering privacy, data governance, AI governance, digital safety, technology platforms, regulatory requirements, consulting skills, and practice tools and processes
- Provides ongoing coaching, mentorship, and timely performance feedback, and completes performance evaluations in accordance with Firm guidance
- Develops future leaders who can advise clients, manage engagements, originate opportunities, and deliver high-quality work across the practice's service portfolio
- Reviews and oversees engagement budgets and identify the appropriate mix and level of resources required to execute effectively
- Models professional judgment, executive presence, collaboration, accountability, and a positive attitude toward client and Firm personnel
Qualifications, Knowledge, Skills, and Abilities:
Education
- Bachelor's degree, required
- Master's degree, Juris Doctor, or MBA, preferred
Experience:
- Ten (10) or more years of progressive experience in consulting, privacy, data governance, AI governance, digital safety, cyber regulation, legal, compliance, or technology, required
- Seven (7) or more years leading large, complex programs or engagements and managing multidisciplinary teams, required
- Five (5) or more years advising on global and domestic privacy, data protection, cyber regulatory, data governance, or AI governance requirements, required
- Demonstrated hands-on experience designing, implementing, enhancing, or operating an enterprise privacy, data governance, or AI governance program, including direct responsibility for policies, assessments, data inventories, rights-request processes, consent or preference management, third-party risk, metrics, reporting, or related operational capabilities, required
- Experience leading technology-enabled transformation or implementation of privacy, data & AI governance, GRC, data discovery, consent, model inventory, or related platforms, required
- Experience with any AI transformation program you led and put to use, with results you can define to include adoption, financial return, or risk outcome achieved and your accountability for the program, preferred
- Experience with cross-border data transfers, data localization, multinational data flows, and international operating models, preferred
- Demonstrated record of identifying, shaping, and winning significant consulting or opportunities and expanding existing client relationships. Director candidates should show meaningful contributions to growth of new business and account growth, preferred
License(s)/Certification(s):
- One (1) or more relevant privacy certifications, such as CIPP/US, CIPP/E, CIPM, CIPT, CDPSE, or equivalent, preferred
- AI governance, responsible AI, data governance, cybersecurity, risk, technology platform, legal, or project management certifications, preferred
- Certifications in one or more privacy, data governance, AI governance, GRC, or data management platforms, such as OneTrust, BigID, Microsoft Purview, DataGrail, Varonis, or comparable solutions, preferred
Software:
- Working knowledge of privacy, data governance, AI governance, GRC, consent management, data discovery, model inventory, and related platforms, including OneTrust, BigID, Microsoft Purview, DataGrail, Collibra, Informatica, or comparable technologies, required
- Proficient in Microsoft Office Suite, including Microsoft 365, with Strong PowerPoint and Excel skills, Visio, OneDrive, SharePoint, and project management tools, required
- Knowledge of cloud, data architecture, databases, analytics, AI/ML lifecycle tooling, APIs, and integration concepts sufficient to lead technology-enabled engagements, preferred
Language(s):
- N/A
Other Knowledge, Skills, & Abilities:
- Director candidates should demonstrate the ability to independently lead complex engagements, workstreams, and client relationships
- Executive presence and credibility to serve as the primary advisor to senior client leaders and boards
- Broad knowledge of privacy, data governance, AI governance, digital safety, cyber regulation, data ethics, records and retention, and technology-enabled compliance
- Ability to interpret evolving laws, regulations, standards, and regulatory expectations and connect them to business strategy, risk, operations, controls, and technology
- Strong commercial judgment and ability to shape opportunities, build trusted relationships, expand engagements, and develop sustainable managed services
- Excellent verbal, written, facilitation, negotiation, and presentation skills
- Strong analytical, research, and structured problem-solving skills, with the ability to synthesize legal, regulatory, technical, operational, and business considerations
- Ability to lead through influence and collaborate effectively across service lines, geographies, disciplines, partners, and client stakeholders
- Strong organizational and financial management skills, including the ability to manage scope, quality, deadlines, budgets, staffing, and multiple concurrent priorities
- Ability to build high-performing teams, mature technical and consulting skills, delegate effectively, and contribute to the professional development of assigned personnel
- Strategic mindset, technical curiosity, and the ability to operate as a self-starter across diverse industries, regulatory environments, technologies, and subject areas while converting ambiguity into structured, practical client solutions
Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
National Range: $145,000 - $225,000
Maryland Range: $145,000 - $225,000
NYC/Long Island/Westchester Range: $145,000 - $225,000
At BDO, how we show up matters. We build strong relationships by supporting one another, our clients, and our communities with care, curiosity, and a commitment to helping one another grow and succeed. Here, you’ll find meaningful work, leaders invested in your success, and opportunities to build a career around what matters most to you.
Our purpose is to be the people our clients count on to grow with confidence and achieve what matters most. Our values guide how we bring that purpose to life each day. Together, they shape how we work with one another, serve our clients, and create meaningful impact.
BDO provides assurance, tax, and advisory services to clients across the U.S. and around the world. No matter your role, you’ll be part of a team helping clients navigate complexity and move forward with clarity.
As technology continues to shape how we work, BDO values the ability to apply generative and agentic AI solutions to develop work products, improve workflows and identify potential risks. Across our firm, we emphasize professional judgment in validating AI-generated outputs for accuracy, quality, and compliance.
We are proud to be an ESOP company, offering participants a stake in the firm’s success through beneficial ownership and a unique opportunity to enhance their financial well-being. As a qualified retirement plan, the ESOP is a meaningful addition to our comprehensive compensation and Total Rewards benefits offerings. It also reinforces an ownership mindset that strengthens our connection to one another, our clients, and the future we’re building together.
Learn more about our benefits: BDO Total Rewards encompass more than traditional benefits.
Equal Opportunity Employer, including disability/vets
AI Data Engineer Job Roles in Washington DC
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Search AI Data Engineer Jobs in Washington DCAI Data Engineer Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Washington DC?
Booz Allen Hamilton, Leidos, SAIC, Palantir, and Deloitte are among the most active employers sponsoring visas for AI data engineers in the DC region. Major cloud and consulting firms with federal contracts, including Accenture Federal Services and General Dynamics IT, also hire internationally. These employers regularly file H-1B visa petitions for data engineering and AI-related roles as part of their standard hiring process.
Which visa types are most common for AI data engineer roles in Washington DC?
The H-1B is the most common visa category for AI data engineers in DC, given the role's classification as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the USMCA. Those with extraordinary ability in AI or machine learning may explore the O-1A, though this requires substantial documented achievements.
How to find ai data engineer visa sponsorship jobs in Washington DC?
Migrate Mate is designed specifically for international candidates searching for visa-sponsored roles. You can filter directly for AI data engineer positions in Washington DC and see which employers have active sponsorship programs. DC's federal contracting ecosystem means many postings require security clearance eligibility, so reviewing job requirements carefully before applying is important. Migrate Mate surfaces sponsorship-friendly roles to help you focus your search efficiently.
Which areas in Washington DC have the most AI data engineer sponsorship jobs?
The highest concentration of AI data engineer roles is in the DC metro area broadly, with significant hiring activity in the city itself alongside nearby Northern Virginia corridors such as Arlington, Tysons, and Reston. These Virginia suburbs host dense clusters of federal contractors and technology firms. Maryland's Bethesda and Rockville areas also contribute, particularly for employers supporting federal health and intelligence agencies.
Are there any DC-specific considerations for AI data engineers seeking visa sponsorship?
Many AI data engineering roles in DC are tied to federal contracts, which can introduce security clearance requirements. Clearance eligibility is generally limited to U.S. citizens and permanent residents, so international candidates on work visas should verify whether a specific role is clearance-dependent before applying. University pipelines from Georgetown, George Mason, and the University of Maryland also feed the regional AI talent market, and some employers in these networks have active sponsorship track records.
What is the prevailing wage for sponsored ai data engineer jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.