Data Strategy Lead Jobs
Data Strategy Lead jobs are open across financial services, healthcare, technology, and retail, from senior analyst to director level, with specializations in data governance, analytics strategy, and enterprise data architecture. Find a role that fits from the openings below and apply directly.
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DESCRIPTION
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents.
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future.
Key job responsibilities
- Collaborate with AWS Data partners, helping them envision and implement Semantic data solutions support autonomous agents and that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.
- Drive strategic initiatives to accelerate Semantic data and and agentic adoption with a core set of strategic partners
- Develop and execute comprehensive partner strategies that scale data-based solutions and use cases
- Build and manage programs for partner enablement, certification, and funding focused on agent technologies
- Analyze market trends and gather partner/customer feedback to inform Semantic data strategy
- Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions
- Collaborate with AWS service teams to align partner requirements with product development
- Lead the development of partner-ready go-to-market content, resources, and activities
A day in the life
- Develop AWS strategy for Data partner GTM
- Drive consensus across service teams, field sales, partner management, marketing, legal, and partner program teams.
- Conduct analysis on AWS customer and partner adoption trends
- Analyze performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.
- Build customer and field facing enablement materials including sales plays, decks, and solution briefs
About the team
The AWS Data & AI Partner GTM team isn't just building partnerships - we're creating the future of intelligent systems through an elite network of innovators. We're the driving force behind AWS's most strategic partner initiatives across data, AI, and autonomous agents, bringing together the world's most innovative partners to pioneer transformative solutions.
Our vision is bold: we're building the world's premier Data & AI partner network, where technical excellence drives remarkable innovation. From helping enterprises unlock the value of their data to advancing the frontier of AI, we champion emerging technologies that reshape how businesses operate. Our team works at the intersection of partner innovation and AWS's most strategic initiatives, from data foundations to autonomous agents, creating opportunities that define the future of business technology.
What makes our team unique - we're not just enabling partner success, we're shaping the future of data and AI adoption. We work directly with consulting partners, category-defining ISVs and startups as well as AWS' most innovative service teams. Through our work, we're not just witnessing the data and AI revolution - we're actively driving it, creating scalable models that empower both our partners and AWS field teams to accelerate service adoption and deliver exceptional customer outcomes. Whether it's helping partners build advanced data analytics solutions or develop sophisticated AI applications, we're at the forefront of technology's most exciting frontiers.
BASIC QUALIFICATIONS
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 5+ years of in program management, workforce strategy development, or metrics-driven decision making experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience presenting to both technical and non-technical executive audiences
- Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology
PREFERRED QUALIFICATIONS
- Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Experience designing, implementing, and scaling workforce development programs across large-scale operations, including forecasting workforce needs and leveraging analytics to drive program decisions
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience using analytical tools for workforce metrics and reporting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Irvine - 147,900.00 - 200,100.00 USD annually
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
DESCRIPTION
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents.
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future.
Key job responsibilities
- Collaborate with AWS Data partners, helping them envision and implement Semantic data solutions support autonomous agents and that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.
- Drive strategic initiatives to accelerate Semantic data and and agentic adoption with a core set of strategic partners
- Develop and execute comprehensive partner strategies that scale data-based solutions and use cases
- Build and manage programs for partner enablement, certification, and funding focused on agent technologies
- Analyze market trends and gather partner/customer feedback to inform Semantic data strategy
- Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions
- Collaborate with AWS service teams to align partner requirements with product development
- Lead the development of partner-ready go-to-market content, resources, and activities
A day in the life
- Develop AWS strategy for Data partner GTM
- Drive consensus across service teams, field sales, partner management, marketing, legal, and partner program teams.
- Conduct analysis on AWS customer and partner adoption trends
- Analyze performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.
- Build customer and field facing enablement materials including sales plays, decks, and solution briefs
About the team
The AWS Data & AI Partner GTM team isn't just building partnerships - we're creating the future of intelligent systems through an elite network of innovators. We're the driving force behind AWS's most strategic partner initiatives across data, AI, and autonomous agents, bringing together the world's most innovative partners to pioneer transformative solutions.
Our vision is bold: we're building the world's premier Data & AI partner network, where technical excellence drives remarkable innovation. From helping enterprises unlock the value of their data to advancing the frontier of AI, we champion emerging technologies that reshape how businesses operate. Our team works at the intersection of partner innovation and AWS's most strategic initiatives, from data foundations to autonomous agents, creating opportunities that define the future of business technology.
What makes our team unique - we're not just enabling partner success, we're shaping the future of data and AI adoption. We work directly with consulting partners, category-defining ISVs and startups as well as AWS' most innovative service teams. Through our work, we're not just witnessing the data and AI revolution - we're actively driving it, creating scalable models that empower both our partners and AWS field teams to accelerate service adoption and deliver exceptional customer outcomes. Whether it's helping partners build advanced data analytics solutions or develop sophisticated AI applications, we're at the forefront of technology's most exciting frontiers.
BASIC QUALIFICATIONS
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 5+ years of in program management, workforce strategy development, or metrics-driven decision making experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience presenting to both technical and non-technical executive audiences
- Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology
PREFERRED QUALIFICATIONS
- Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Experience designing, implementing, and scaling workforce development programs across large-scale operations, including forecasting workforce needs and leveraging analytics to drive program decisions
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience using analytical tools for workforce metrics and reporting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Irvine - 147,900.00 - 200,100.00 USD annually
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
Data Strategy Lead Jobs by Experience Level
Top Cities Hiring Data Strategy Leads
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Find Data Strategy Lead JobsData Strategy Lead Job Market
Who's Hiring
- Meta14
- Google14
- JPMorganChase10
- Apple9
- Amazon Web Services9
Top Industries Hiring
- Technology & Software29
- Electronics & Hardware6
- Banking & Financial Services6
- Consulting & Professional Services6
- Distribution & Wholesale3
What Employers Look For
The qualifications that appear most often in data strategy lead jobs.
- 5+ years of experience in data strategy, analytics, or enterprise data management
- Proficiency with cloud data platforms such as Snowflake, BigQuery, or Databricks
- Experience developing and implementing data governance frameworks and policies
- Strong stakeholder management and executive communication skills
- Familiarity with data modeling concepts, metadata management, and data cataloging tools
- Bachelor's or master's degree in a quantitative, computer science, or business field
Tips for Your Data Strategy Lead Job Search
Quantify your data strategy impact
Hiring managers for data strategy leads expect concrete outcomes, not process descriptions. Reframe your resume bullets around decisions your strategy informed, cost reductions from data consolidation, or adoption rates of new data standards across business units.
Tailor your resume to the data maturity level
A company building its first data warehouse needs a different lead than one optimizing a mature lakehouse. Read the job description for signals like 'establish frameworks' versus 'scale existing infrastructure' and mirror that language in your summary and experience sections.
Highlight cross-functional stakeholder experience
Data strategy leads are evaluated heavily on their ability to align engineering, product, and executive teams. Name the specific stakeholder groups you've worked with and the business outcomes those partnerships produced, not just the technical deliverables.
Apply early to roles that fit
Migrate Mate lists data strategy lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a data strategy case study for interviews
Most data strategy lead interviews include a structured exercise where you diagnose a fictional company's data problems and propose a roadmap. Practice framing your answer around business value first, then tooling and architecture, so your reasoning reflects a lead's perspective rather than an analyst's.
Negotiate scope, not just compensation
When you receive an offer, clarify reporting structure, budget authority, and whether the role owns the data roadmap or advises on it. Ambiguity in those areas predicts friction after you start, and asking directly signals strategic maturity to the hiring team.
Data Strategy Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data strategy leads?
The companies hiring the most data strategy leads right now include Meta, Google, and JPMorganChase, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is strongest at large financial institutions, health systems, and enterprise technology companies undertaking major data modernization initiatives.
How many data strategy lead jobs are remote?
About 80% of data strategy lead openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible senior roles in data. Sub-specializations focused on roadmap development, governance policy, and vendor evaluation tend to be the most remote-friendly, while roles tied to hands-on platform migration or embedded business-unit partnerships more often require some on-site presence.
How do you become a data strategy lead?
Most data strategy leads start in analytics, data engineering, or business intelligence before moving into roles with strategic scope. Building expertise in data governance and stakeholder alignment is essential. Taking ownership of a cross-functional data initiative, earning a relevant certification in cloud data platforms or data management, and demonstrating measurable business outcomes from your work are the clearest steps toward a lead-level role.
Can I get a data strategy lead job with limited experience?
Moving into a data strategy lead role with limited experience is achievable if you can demonstrate strategic thinking alongside technical credibility. Focus on roles at smaller companies or startups where the scope is broader and the title reflects potential as much as tenure. Contributing to a data governance project, leading a data quality initiative, or presenting a data roadmap to leadership in a current role builds the portfolio that lead-level hiring managers look for.
What does the data strategy lead interview process look like?
The process typically begins with a recruiter screen focused on background and role fit, followed by a hiring manager conversation about your approach to data strategy and stakeholder alignment. Later rounds usually include a case study or take-home exercise where you diagnose a data challenge and propose a roadmap, plus panel interviews with engineering leads, product managers, or executives whose teams you would support.
Where can I find and apply to data strategy lead jobs?
You can find and apply to data strategy lead jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 283+ Data Strategy Lead Jobs
Find roles that match your experience and apply in just a few clicks.
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