Datadog8 дней назад

Руководитель внутренней аналитики продуктов

13 333–16 667 ₽в месяц · до вычета

New York

Обязанности

01Guide and grow the Internal Product Analytics team
02Manage, coach, and develop a team of data analysts
03Set priorities, hold a high bar for quality, and make sure the team's output is trusted across the Product org
04Partner directly with the PM org
05Work side by side with the PMs your team serves to frame the questions that matter, shape the analysis, and make sure the answers reach them in a form they can act on
06Own the recurring analytics the PM org runs on
07Make this work consistent, repeatable, and fast so PMs get answers when they need them
08Build AI-first analytics
09Design and ship AI-powered workflows and agents that do the heavy lifting of analysis, from data querying to synthesis to reporting
10Set the standard for how the team uses AI so analysis scales without simply adding headcount
11Partner across functions
12Work with Finance, Data Platform, Engineering, and Revenue teams to align on definitions, source the right data, and turn raw signals into decisions
13Build trust with partners who do not report to you
14Turn data into decisions for leadership
15Query product, CRM, and financial data to surface the insights that matter, then present them clearly to PMs and senior leadership so they can act with confidence
16Set the standard for product analytics across the org
17Define the metrics, definitions, and analytical frameworks that leadership and every PM rely on, and own them as the single source of truth the Product org trusts

016+ years in product analytics, data analytics, or a related field, with 2+ years managing or leading a team
02A strong track record partnering across functions (Product, Finance, Engineering, Data) and aligning stakeholders with different priorities toward shared outcomes
03Proven ability to partner directly with product managers as their analytics partner, turning product questions into analysis that informs decisions
04Fluent in SQL and comfortable in a modern data warehouse and BI tooling
05You can go from raw data to a defensible answer yourself, not just direct others to do it
06Hands-on experience building or deploying AI-first analytics: AI-powered workflows, agents, or tooling that speed up real analytical work
07Professional use of AI tools such as Claude, including prompt design and putting AI into day-to-day analysis
08Experience communicating with and presenting to senior leadership at the VP+ level, both in writing and in live settings
09Comfortable in ambiguous environments where you define the approach, prove value quickly, and iterate, rather than maintain an existing playbook
10Able to lead through influence rather than authority, building trust and driving outcomes across teams you do not directly manage