Sr Director, Data Science and Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Director, Data Science and Analytics based in United States.

This is a senior leadership opportunity at the intersection of data science, applied AI, analytics, and business operations.The role will shape the data science and AI roadmap across operational and finance-focused functions, with a strong emphasis on measurable business <impact.You> will lead and develop a high-performing data science and analytics organization while remaining hands-on with strategic technical initiatives.The position offers significant autonomy to identify and build high-return projects, including forecasting, lead scoring, agentic systems, and decision-support <solutions.You> will work closely with operations, finance, product, engineering, and executive leadership to turn complex problems into scalable solutions.The ideal environment is fast-moving, data-rich, and highly collaborative, where technical innovation directly influences operational efficiency and business performance.This is an opportunity to establish modern AI practices while helping teams work more intelligently, efficiently, and autonomously.

Accountabilities

Own the data science and applied AI roadmap across operational and finance functions, developing solutions such as agentic systems, forecasting models, lead scoring, and decision-support tools that improve efficiency, reliability, and unit economics.

Lead, hire, mentor, and develop a data science and analytics team, establishing high standards for technical rigor, experimentation, evaluation, and production quality.

Identify high-impact business and operational challenges in partnership with operations, finance, and product leaders, translating ambiguous problems into well-defined analytical and AI initiatives.

Oversee finance analytics supporting accounting, FP&A, pricing, and broader financial decision-making.

Develop AI and agent-based workflows that move beyond prediction toward automated action, improving team productivity and operational outcomes.

Partner with data engineering, machine learning engineering, and platform teams to ensure appropriate infrastructure, data quality, orchestration, tooling, deployment processes, and governance are in place.

Drive analytics-led decision-making by applying advanced analysis and communicating actionable recommendations to executive stakeholders.

Champion an AI- and agent-first approach across the organization, combining hands-on technical leadership with the development of systems that accelerate team performance.

Establish scalable approaches to experimentation, model evaluation, AI deployment, and analytics delivery.

Continuously identify new high-ROI opportunities where data, machine learning, and AI can create measurable operational or financial value.

Requirements

8+ years of experience in data science, applied AI, or machine learning, including 5+ years leading and growing technical teams.

Proven experience managing analytics teams and driving data-informed decisions across complex business functions.

Demonstrated success influencing operational decisions through machine learning systems, such as forecasting, lead scoring, or other predictive solutions.

Strong statistical and machine learning foundations combined with hands-on knowledge of modern AI technologies, including LLMs, agentic systems, orchestration, tool use, retrieval, and AI evaluation methodologies.

Strong analytics capabilities with a demonstrated ability to use deep analysis to guide business and operational decisions.

Advanced proficiency in SQL and Python, with familiarity with modern cloud data and AI ecosystems, including cloud warehouses, dbt, and LLM or AI deployment pipelines.

Experience translating ambiguous business challenges into practical, measurable technical initiatives.

Strong ability to communicate complex technical concepts and recommendations clearly to non-technical executives and senior stakeholders.

Demonstrated ability to lead cross-functional initiatives and collaborate effectively with engineering, product, finance, and operations teams.

Comfort working in a fast-paced, data-intensive environment where decisions have meaningful operational and financial consequences.

A strategic, innovative, and hands-on leadership style, with a willingness to remain close to technology while developing teams and organizational capabilities.

Experience in B2B SaaS, marketplaces, logistics, field operations, or similarly complex operational environments is a plus.

Benefits

• Competitive base salary ranging from $319,600 to $479,400 USD for eligible candidates in CA, CT, DC, MD, MA, NJ, NY, VA, and WA.
• Competitive base salary ranging from $298,700 to $448,100 USD for eligible candidates in other U.S. locations.
• Annual bonus and equity opportunities as part of the total compensation package.
• Flexible time off and support for autonomous working.
• Comprehensive learning and development programs, including onboarding and leadership training.
• Recognition programs, peer-nominated awards, and other opportunities to celebrate strong performance.
• Company-paid medical, dental, and vision coverage, including options with 100% employer-paid employee premiums and substantial dependent coverage.
• Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and a 401(k) match.
• Telehealth services and access to One Medical memberships.
• Parental leave and comprehensive family support programs.
• Up to $20,000 in fertility, adoption, and surrogacy reimbursement.
• Maternity support and breast milk shipping services.
• Pet insurance, legal advisory services, financial planning tools, and additional lifestyle benefits.
• A flexible, inclusive environment that encourages diverse perspectives, professional growth, and meaningful career development.