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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 work directly with stakeholders to turn data into a competitive advantage for our IAM and Agentic initiatives.

Responsibilities

Act as the subject matter expert, translating abstract business goals and abstract 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
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

Skills

SQL
Tableau
Power BI
HEX
Statistical Analysis
Experimental Design
Data Modeling
Machine Learning
A/B Testing
Cohort Analysis

Location

Hybrid

Work Type

Hybrid

Experience Level

12+ years of experience

Education Level

BA/BS degree in a quantitative field

Salary/Compensations

California: $186,100.00 - $300,550.00 base salary

Benefits

Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Paid Time Off: earned time off, as well as paid company holidays based on region
Paid Parental Leave: take 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

About the Company

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. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. 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).

Equal Opportunity

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.