Associate Director, Technical Product Management

Chewy•Plantation, FL

14d

About The Position

Chewy’s AI & Data organization is seeking an Associate Director of Technical Product Management (TPM) to lead the data platform product portfolio and the product management discipline within the Enterprise Data Systems (EDS) platform. EDS powers Chewy’s enterprise data foundation — spanning Snowflake, dbt Cloud, Kafka, AWS, and BI tools like Tableau, Sigma, and Omni Analytics — delivering governed, reliable, AI-ready data that enables analytics and automation company-wide. You will lead the product management discipline within EDS managing a team of (TPMs) and driving the operating rhythm, communication, and delivery cadence for the EDS portfolio. You’ll bridge strategy and execution so that data products, pipelines, and governance capabilities ship predictably, transparently, and in lockstep with Chewy’s AI and business priorities.

Requirements

6+ years in technical product management or technical program delivery, including 3+ years managing teams.
Proven experience running large-scale programs across data, analytics, or platform engineering.
Familiarity with Snowflake, dbt Cloud, Kafka, AWS, and BI platforms (Tableau/Sigma/Omni).
Demonstrated ability to manage complex cross-team dependencies and align multiple technical roadmaps.
Strong leadership presence with excellent written and verbal communication; able to distill complexity into clarity and tell a compelling story with data.
Passion for using AI and automation to improve execution.
Experience introducing and scaling modern delivery frameworks (agile, SAFe, or hybrid) in technical organizations.
Track record of developing talent and building highly collaborative, empowered teams.
Ability to think strategically and act operationally; you connect the roadmap to measurable outcomes and enforce metric quality and UAT readiness.

Responsibilities

Product Strategy and Portfolio Ownership
Own the cross-domain EDS product portfolio (Discover, Engage, Serve, Participants), with clear problem definitions, value propositions, and success metrics.
Define and socialize a multi-quarter product strategy and roadmap across ingestion, governance frameworks, and AI platform integrations.
Translate Chewy’s AI and business strategies into a prioritized backlog of platform and data products with explicit trade-offs and expected impact.
Connect product outcomes to clear success metrics and OKRs, ensuring that each initiative has measurable value and hypotheses to validate.
Partner with Data Engineering, Governance, and Analytics leaders on portfolio-level planning, including investment bets, sequencing, and capacity trade-offs.
Product Discovery and Roadmap Execution
Drive structured product discovery, partnering with internal customers to understand needs across analytics, AI, and operational teams.
Prioritize features and capabilities based on customer value, technical feasibility, and platform scalability.
Work closely with engineering and governance leaders to convert roadmaps into executable delivery plans, integrating data governance and quality gates while maintaining flexibility for learning and iteration.
Maintain product roadmaps, status, key decisions, and upcoming launches across leadership forums, ensuring launches include clear adoption plans, documentation, and feedback loops that inform the next iteration.
Partner with engineering to manage change control for platform-wide releases, migrations, and integrations such as Snowflake optimizations and dbt upgrades.
Leadership and People Management
Lead and develop a team of technical product managers (I–III) focused on data platform, governance, and AI-enabling capabilities.
Build a culture that balances velocity with quality, and clarity with autonomy.
Coach product managers to deepen their product thinking, technical acumen, and stakeholder influence.
Own recruiting, onboarding, performance feedback, growth plans, and promotion recommendations; monitor team health and engagement.
Partner with peers to ensure unified leadership alignment across EDS and AI & Data.
Strategic Alignment and Stakeholder Partnership
Collaborate with leadership within AI & Data and across stakeholder teams to define, refine, and communicate EDS product priorities.
Represent the voice of internal customers, ensuring platform and data products solve real problems and unlock self-service at scale.
Facilitate cross-domain collaboration so Discover, Engage, Serve, and Participants data collections operate as a cohesive product ecosystem.
Represent EDS product delivery and outcomes in senior forums with crisp updates on health, risks, decisions, and value realization.
Process, Tooling, and AI-powered Product Excellence
Define and refine product and delivery frameworks, tooling standards, and reporting practices used across EDS.
Leverage AI and automation to improve visibility, predictability, and efficiency for product development and stakeholder communication.
Partner with the AI Platform and Engineering teams to pilot and scale LLM-powered productivity and communication tools within EDS.
Own core product artifacts, including vision and strategy documents, opportunity assessments, PRDs, implementation and rollout plans, and decision records.