Senior Level Data Science Director Jobs
Senior level data science director jobs place experienced leaders in charge of analytics strategy, model deployment pipelines, and the cross-functional teams that turn data into business decisions. Openings concentrate across Technology & Software, Banking & Financial Services, and Insurance, with 46% of roles offered remotely or hybrid, and employers like Capital One, Lyft, and Tatari hiring at this level now.
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About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
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Who's Hiring
Top Industries Hiring
- Technology & Software17
- Banking & Financial Services9
- Insurance7
- Biotechnology & Pharmaceuticals6
- Education5
Senior Level Data Science Director Jobs: Frequently Asked Questions
How do I get a senior level data science director job?
Employers at this level want candidates who have owned end-to-end data science programs, not just contributed to them. Demonstrating that you have set technical roadmaps, aligned stakeholders across business units, and grown junior talent gives you a clear edge. A portfolio of measurable outcomes, such as revenue impact or model performance improvements at scale, matters more than credentials alone.
Which companies hire senior level data science directors?
Companies hiring senior level data science directors right now include Capital One, Lyft, and Tatari, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a mix of large enterprises with mature data platforms and growth-stage companies building out their first dedicated data science leadership layer.
Are there remote senior level data science director jobs?
Yes, though availability varies by industry and employer. About 46% of senior level data science director openings are remote or hybrid as of September 2026, reflecting strong employer demand for leadership talent regardless of location. Fully remote roles at this level tend to require significant async communication experience and the ability to manage distributed teams effectively.
What makes a data science director role senior level?
Senior level data science director roles carry organization-wide accountability rather than project-level ownership. Expectations include defining the data science strategy, setting standards for model development and deployment, managing or mentoring multiple data scientists, and presenting findings to executive leadership. The distinction from mid-level roles is scope: senior directors shape the function, not just execute within it.
Which industries hire the most senior level data science directors?
Senior Level data science director roles concentrate in Technology & Software, Banking & Financial Services, and Insurance, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they operate large, complex datasets where senior leadership is needed to translate analytical capability into measurable competitive advantage.