Lead Data and Analytics Instrumentation Manager

Docusign • San Francisco, CA

15d • Hybrid

About The Position

Docusign is seeking a hands-on product manager and leader to establish end-to-end ownership of the data architecture and instrumentation supporting Growth and its product-led business. The role owns the quality of the data lifecycle, from source instrumentation through the foundations analysts query, across surfaces including the website, in-product experiences, marketing channels, pipeline, and financial data. The position spends most of its time defining requirements, prioritizing high-impact work, and aligning cross-functional partners, with the remainder focused on reviewing data flows, identifying structural problems, and building support for architectural fixes. The role remains closely involved with the data through review, validation, and documentation while engineering partners implement solutions.

The position leads a small team of direct and indirect contributors, owns the instrumentation and data-foundations roadmap, and establishes standards and governance across key data sources and other data domains that lack active stewardship. It partners with data scientists, analysts, business stakeholders, engineering teams, and AI builders to clarify data needs, sequence work, and develop AI-ready data foundations. This individual contributor role reports to the Senior Director, Growth Data Science.

The position is hybrid, with a weekly in-office expectation of at least two days per week. The role is eligible for a company bonus plan and Restricted Stock Units. Pay in California is listed as $186,100 to $300,550 base salary; pay varies by geographic location and job-related factors.

Requirements

• 12 or more 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 by writing SQL, exploring datasets, and personally 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 without direct authority.
• Experience with the data lifecycle, from event instrumentation through data pipelines to analytics-ready data, and understanding how issues at one layer surface downstream.
• Experience with modern product analytics and marketing data stacks, including data warehouses, product analytics tools, customer data platforms, and advertising platforms.

Nice To Haves

• People leadership experience, including leading a mix of 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 ability to build alignment among stakeholders with competing priorities and no formal authority over them.

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, which are implemented 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 to identify use cases and shape AI-ready data foundations.
• Review, validate, question, and document data and its flows.

Benefits

• Company bonus plan for non-sales roles, calculated as a percentage of eligible wages and dependent on 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 plan options, including 100% employer-paid and minimum employee-contribution plans from the first day of employment.
• Retirement and pension programs with potential employer contributions.
• Coaching, online courses, and education reimbursements.
• Paid 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