Lead Data and Analytics Instrumentation Manager

Docusign • San Francisco, CA

16d • Hybrid

About The Position

Docusign is seeking a Lead Data and Analytics Instrumentation Manager to establish end-to-end ownership of the data architecture and instrumentation supporting its Growth and product-led business. The role is responsible for improving data coverage and quality across key surfaces, including the website, in-product experiences, marketing channels, pipeline, and financial data. It combines hands-on product management with architectural oversight and leadership of a small team that includes direct and indirect members.

The role is primarily focused on defining requirements, prioritizing high-impact work, and driving cross-functional alignment. It also reviews how data flows across systems, identifies structural problems, and builds support for solutions, while staying close to the data through direct review, investigation, and documentation. Engineering partners execute implementation work. This is an individual contributor role reporting to the Senior Director, Growth Data Science. The position is hybrid, with at least two days per week in-office expected.

Requirements

• 12+ years of experience in product management, data strategy, or analytics/data engineering, with direct ownership of data quality or instrumentation initiatives.
• Experience working directly with data, including writing SQL, exploring datasets, and validating data quality.
• Experience translating technical data work into business outcomes and objectives.
• Experience translating ambiguous business needs into structured technical requirements and driving them to completion across teams not directly controlled.
• Experience with the data lifecycle, from event instrumentation through data pipelines to analytics-ready data, and how issues at one layer cause downstream problems.
• Experience with modern product analytics and marketing data stacks, including data warehouses, product analytics tools, customer data platforms, and ad platforms.

Nice To Haves

• People leadership experience, including leading direct and indirect or cross-functional team members.
• Experience defining event taxonomies, tracking specifications, or instrumentation governance processes at scale.
• Background in growth, product-led, or marketing analytics environments where experimentation and business velocity depend on clean data.
• Excellent cross-functional communication skills and the ability to build alignment among stakeholders with competing priorities without formal authority.

Responsibilities

• Own the roadmap for instrumentation and data-foundations work, prioritizing the highest-impact projects against a backlog.
• Partner with data scientists, analysts, and business stakeholders across Growth to understand data use and translate needs into clear, sequenced requirements.
• Lead and develop a small team of direct reports and cross-functional or indirect team members, setting priorities and unblocking day-to-day execution.
• Review end-to-end data flow architecture across Growth-related data sources, identify structural problems, and drive alignment on solutions.
• Own problem definition, prioritization, and cross-functional buy-in for architectural fixes, with implementation executed by engineering partners.
• Set and enforce instrumentation standards across key data sources.
• Extend governance into other data domains the team depends on that lack active stewardship, partnering with other teams to represent requirements.
• Partner with AI builders across the team to identify use cases and shape AI-ready data foundations.

Benefits

• Company bonus plan for non-sales roles, based on a percentage of eligible wages and company performance.
• Restricted Stock Units (RSUs).
• Paid time off and paid company holidays, based on region.
• Paid parental leave of up to six months after birth, adoption, or foster care placement.
• Health benefits plans, including options that are 100% employer-paid and plans with minimum employee contributions, from day one of employment.
• Retirement and pension programs, with potential employer contributions.
• Learning and development options, including coaching, online courses, and education reimbursements.
• Compassionate care leave following the loss of a loved one and other life-changing events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed