Senior Manager, Product Telemetry & Analytics

Alteryx is leading the transformation of business decision-making through data, automation, and AI. The company is seeking a Senior Manager, Product Telemetry & Analytics to lead a team responsible for instrumentation, the semantic layer, and self-serve analytics platforms. The role oversees intake, prioritization, enablement, metric governance, executive communication, and talent development.

Responsibilities:

• Own a single intake path for telemetry and analytics requests across Product, Finance, CS, Rev Ops, and IT, balancing planned platform work against urgent executive asks
• Partner with technical leadership on feasibility, dependency order, and sequencing
• Build enablement into a standing program so each function can find, understand, and trust the data on its own, and grow the share of demand served through self-serve
• Govern metric definitions so the same number means the same thing in every forum
• Own how the function is represented to leadership: what is shipping, what is blocked, what changed, and what it means, with recommendations rather than status
• Lead and develop a team based in India, including talent assessment, performance, career paths, and the skills the function needs as it becomes more AI-native

Requirements:

• 8+ years in product telemetry, product analytics, analytics engineering, or data roles, including at least 3 years managing a team
• Demonstrated ownership of an analytics or data operating model: intake, prioritization, capacity planning, and service expectations
• Experience building self-service analytics or internal data products that teams could find, understand, and trust
• Track record of executive communication: setting expectations, framing tradeoffs, and earning trust with senior stakeholders
• Fluent enough in both product analytics and data architecture to be credible in either conversation, without needing to be the expert in the room
• Experience leading a team based outside the U.S., ideally in India, across a significant time zone difference
• Experience with AI-native or agent-queryable data infrastructure
• Familiarity with Snowflake, Amplitude, or comparable warehouse and behavioral analytics platforms
• Experience in enterprise software with a complex user journey, or in PLG and product adoption environments
• Hands-on background in SQL, dbt, or pipeline work, even if not current
• Experience working alongside UX research, VOC, or experience measurement functions