Director Of Data Analytics Jobs
Director Of Data Analytics jobs are open across healthcare, financial services, retail, and technology, at every level from senior manager to VP, with specializations in predictive modeling, business intelligence, and data governance. Find a role that fits from the openings below and apply directly.
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- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Director Of Data Analytics Jobs by Experience Level
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Find JobsDirector Of Data Analytics Job Market
Who's Hiring
- CoStar26
- Capital One24
- JPMorganChase22
- American Express20
- PNC Financial Services20
Top Industries Hiring
- Technology & Software18
- Insurance5
- Consulting & Professional Services5
- Energy4
- Retail3
What Employers Look For
The qualifications that appear most often in director of data analytics jobs.
- 7 or more years of progressive analytics experience with at least 3 years in a leadership role
- Proficiency in SQL and at least one statistical or programming language such as Python or R
- Experience with business intelligence platforms such as Tableau, Power BI, or Looker
- Bachelor's degree in statistics, mathematics, computer science, economics, or a related quantitative field
- Demonstrated ability to translate complex data findings into clear executive-level recommendations
- Familiarity with cloud data warehousing platforms such as Snowflake, BigQuery, or Redshift
Tips for Your Director Of Data Analytics Job Search
Tailor your resume to business impact
Director-level hiring managers want to see revenue influenced, cost reduced, or decisions accelerated, not just tools used. Reframe each bullet to show the downstream business outcome your analytics work produced, not the technical method you applied.
Highlight your data stack leadership
Listings for this role almost always ask for experience owning a data infrastructure, not just using one. Call out the platforms your team ran under your direction, such as Snowflake, dbt, or Looker, and your role in choosing or scaling them.
Apply early to roles that fit
Migrate Mate lists director of data analytics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by domain to avoid wasted rounds
Healthcare analytics directors and e-commerce analytics directors face very different interview questions and stakeholder dynamics. Prioritize openings in industries where you already have domain fluency so your examples land without translation.
Prepare a portfolio of strategic decisions
Interviewers at this level probe how you translate data into executive-level decisions. Bring two or three concrete examples where your team's analysis changed a product roadmap, budget allocation, or operational process, and be ready to walk through the business context.
Negotiate scope before you negotiate pay
Team size, data engineering resources, and executive access vary widely in director roles and directly affect your ability to succeed. Clarify reporting lines, headcount, and tooling budget during final-round conversations before you discuss any other offer terms.
Director Of Data Analytics Jobs: Frequently Asked Questions
Which companies are hiring the most director of data analyticss?
The companies hiring the most director of data analyticss right now include CoStar, Capital One, and JPMorganChase, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is especially concentrated in healthcare systems, financial services firms, and large retail and technology organizations.
How many director of data analytics jobs are remote?
About 73% of director of data analytics openings are fully remote or hybrid as of September 2026, reflecting the role's heavy reliance on dashboards, cloud tools, and asynchronous stakeholder communication. Sub-specializations in business intelligence and enterprise reporting tend to have the highest remote availability, while roles focused on embedded team leadership or data engineering governance more often require on-site presence.
How do you become a director of data analytics?
Most directors of data analytics move up from senior analyst or analytics manager roles after building a record of leading cross-functional projects and influencing business decisions with data. You'll need deep fluency in at least one BI platform, strong SQL skills, and experience managing analysts. Exposure to data strategy, stakeholder communication at the executive level, and ownership of a team or function accelerates the transition from manager to director.
How do you get hired as a director of data analytics with limited experience?
If you're moving into this role without a prior director title, leading a high-visibility analytics initiative is often more persuasive than tenure alone. Focus on roles at smaller organizations or growth-stage companies where the scope is broad and the team is lean. Framing your resume around decisions you influenced and analysts you mentored, rather than individual contributor work, positions you as ready for the step up.
What does the director of data analytics interview process look like?
The process typically runs four to five stages: an initial recruiter screen, a hiring manager conversation focused on your analytics leadership philosophy, a technical or case-study round where you walk through a real analytical problem or past project, a cross-functional panel with stakeholders from product or finance, and a final executive interview. Expect questions on how you've built or scaled a team, prioritized competing requests, and driven adoption of data-driven decisions.
Where can I find and apply to director of data analytics jobs?
You can find and apply to director of data analytics jobs on Migrate Mate, which lists current openings from across the United States. Search the available roles, find the ones that match your background and the industries you want to work in, and apply directly to each listing that fits.
See All 1,316+ Director Of Data Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
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