Lead Product Data Scientist

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

About the role

As a Lead Data Scientist, you will spearhead the analytical strategy for Docusign’s Intelligent Agreement Manager (IAM) and next-generation Agentic AI features. You will serve as the primary bridge between Product and Engineering, setting the vision for telemetry architecture, defining key performance metrics, and orchestrating analytical roadmaps. This role requires moving beyond reactive reporting to proactively shaping the ‘test-and-learn’ product lifecycle through advanced modeling, experimental design, and cross-functional leadership. You will work directly with stakeholders to turn data into a competitive advantage for our IAM and Agentic initiatives. This position is an individual contributor role reporting to the Vice President, Operations & Analysis.

Responsibilities

• Act as the subject matter expert, translating abstract business goals and product goals into rigorous technical data requirements for Engineering stakeholders
• Partner with Global Data Analytics to oversee the evolution of scalable data pipelines and architectural integrity
• Define and govern the product telemetry strategy, partnering with Engineering to ensure high-fidelity data collection across the integrated IAM suite and Agentic workflows
• Identify patterns in cross-product usage cohorts and adoption signals, synthesizing these into roadmap recommendations for senior leadership and product managers
• Design rigorous experimentation frameworks that move beyond basic A/B testing to optimize complex, cross-product user journeys and LLM-based feature performance
• Oversee the development of automated dashboards and analytical tools that allow business users to independently interpret performance and drive adoption
• Serve as the primary analytical partner to Product, Engineering, and Research, identifying and prioritizing high-impact data opportunities that accelerate IAM and Agentic initiatives
• Communicate complex analytical findings and modeling frameworks to non-technical stakeholders, influencing strategy across functional lines
• Act with a sense of urgency to resolve analytical roadblocks and proactively solicit cross-functional input to ensure data initiatives meet business objectives

Requirements

• BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics) or equivalent practical experience
• 12+ years of experience in product analytics or data science within a SaaS/Cloud environment
• Experience mapping holistic user journeys by joining data across disparate product ecosystems to measure multi-product adoption funnels
• Experience translating abstract product goals into rigorous technical telemetry requirements and partnering with Engineering to implement them
• Experience with SQL for data analysis and validation; experience designing and maintaining automated dashboards in tools like Tableau, Power BI, or HEX
• Experience in statistical analysis, experimental design, and data modeling to solve complex business problems
• Experience communicating complex technical findings and data strategy to non-technical stakeholders

Preferred Qualifications

• Exceptional ability to lead through influence, navigating cross-functional and organizational lines to align Product and Engineering roadmaps
• Deep expertise in evaluating LLM-based product features and optimizing "human-in-the-loop" agentic workflows
• Experience designing and refining machine learning models with a focus on user intent, behavior prediction, and user segmentation
• Mastery of A/B testing, cohort analysis, and iterative testing methodologies to drive optimization in complex, multi-stage user journeys
• Ability to synthesize product performance metrics and integration data into actionable recommendations that shape long-term product strategy

Schedule

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. Minimum 2 days per week in-office; frequency may vary by team but will include a weekly in-office expectation.

Pay

Pay for this position is based on geographic location and may vary depending on job-related knowledge, skills, and experience. California pay range: $186,100.00 - $300,550.00 base salary.

This role is also eligible for the following bonus: Sales personnel are eligible for variable incentive pay dependent on achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, calculated as a percentage of eligible wages and dependent on company performance.

Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Benefits

• Paid time off, including earned time off and paid company holidays based on region
• Paid parental leave: up to six months off with your child after birth, adoption, or foster care placement
• Full health benefits plans: options for 100% employer-paid and minimum employee-contribution health plans from day one of employment
• Retirement plans: select retirement and pension programs with potential for employer contributions
• Learning and development: options for coaching, online courses, and education reimbursements
• Compassionate care leave: paid time off following the loss of a loved one and other life-changing events