Director, Product Analytics

ServiceTitan ServiceTitan · Enterprise · United States · Remote

Director of Product Analytics to develop insightful reporting and take product understanding to the next level. Will chart an analytics strategy that blends AI-driven self-service with business partnering and product strategy contribution. Manages a team of 19, including people managers, and works with C-Suite/VP level stakeholders.

What you'd actually do

  1. Manage a team of 19, including multiple people managers
  2. As a leader, you will work with C-Suite/VP level stakeholders to set roadmaps for your team and influence the company’s product roadmap and overall strategy
  3. As a manager/doer, you will be responsible for reviewing key deliverables to ensure quality and doing ad-hoc analyses when they are particularly complex and important
  4. Creatively answer questions nobody is asking but that help us improve how we run our business
  5. Create KPIs that measure the health of our product and its impact on our customers

Skills

Required

  • Experience leading people managers in product analytics functions of at least 15 people for 3+ years
  • Comfortable with tight deadlines in a high-growth environment; Ability to prioritize projects based on ROI and timing in the presence of ambiguity
  • Demonstrated ability to set a strategy that makes the sum of the team greater than its individual parts; Ability to creatively start new projects; viewed as both indistinguishable and indispensable from the business teams you partner with
  • Proven ability to set a strategy to scale data marts in a product that is evolving quickly
  • Experience rolling out GenAI-focused analytics tools to enable self service for simple questions
  • Excellent written, verbal and presentation skills that allow you to directly communicate with VP+ product managers/engineering leadership
  • Proven track record of growing leaders within their team, giving autonomy to high performing leaders, and maintaining a high bar for performance
  • SQL expertise and previous experience with data warehouses (Snowflake preferred)
  • Experience using clickstream data to make key product decisions

Nice to have

  • Experience with FullStory
  • Experience in python (data manipulation)
  • Experience with anti-fraud efforts within a SaaS product
  • Experience with classic BI tools (Tableau, etc.)

What the JD emphasized

  • GenAI-first agenda
  • GenAI-focused analytics tools