Sr. Technical Product Manager- Data, Big Query

Job Description

We are looking for a Senior Product Manager to own the product vision, strategy, and roadmap for our internal data lake. This high-impact role will define how the company collects, governs, and derives value from its data assets, partnering closely with Data Engineering, Data Science, Analytics, and business stakeholders to build a best-in-class platform on Google BigQuery.

What You’ll Do

• Define and own the multi-year data lake product strategy, translating business needs into a prioritized roadmap that balances platform reliability, new integrations, and insight enablement.
• Identify opportunities to consolidate data sources and reduce duplication; communicate vision and trade-offs clearly to executive, engineering, and business audiences.
• Serve as the primary product contact for data consumers across Finance, Marketing, Operations, Sales, and Engineering - running alignment sessions, managing expectations, and negotiating prioritization with senior stakeholders.
• Define and hold the platform team accountable to clear SLAs for data availability and quality.
• Own the intake process for onboarding new data sources – evaluating business value, technical complexity, and downstream impact including schema dependencies, data lineage, and fan‑out effects on pipelines and dashboards.
• Partner with Data Engineering to set ingestion standards and champion data cataloging so every dataset is findable and usable across the organization.
• Work with Data Science to prioritize feature store development, training dataset pipelines, and experiment tracking infrastructure based on model roadmap needs.
• Ensure teams have reliable, well‑documented access to curated datasets, and co‑define success metrics that bridge raw data availability to actionable business intelligence.
• Build and own a comprehensive governance strategy on BigQuery covering data classification, access control (RBAC/column‑level security), retention policies, and audit logging.
• Define data ownership models and drive adoption of quality frameworks – profiling, lineage tracking, anomaly detection – while collaborating with Legal and Security.

We’re Excited To Learn More About You

Your experience may include:

• 7+ years of product management experience, with at least 2 years focused on data platform, data infrastructure, or analytics products.
• Demonstrated ability to manage complex, multi‑stakeholder environments with competing priorities at senior levels.
• Strong understanding of modern data stack concepts: data lakes, warehouses, ELT pipelines, data catalogs, and governance frameworks.
• Hands‑on familiarity with Google BigQuery.
• Ability to engage credibly with data engineers and data scientists on technical architecture decisions; excellent communication skills for executive audiences.

Additional Skills

You may have other skills or credentials, including:

• Experience implementing governance frameworks: data mesh, data contracts, or metadata management tools (Dataplex, Collibra, Alation).
• Familiarity with ML platform concepts: feature stores, model registries, training pipelines (Vertex AI, MLflow).
• Background in structured and semi‑structured data across diverse source systems (CRM, ERP, product analytics, third‑party APIs).

Benefits

• Medical, Dental, and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• A Bonus Day for Your Birthday

Salary

Our targeted starting base salary in the United States for this position ranges from $100,000 to $160,000 USD. Compensation may include additional plans such as bonus and commission. Actual earnings are uncapped, and many team members exceed on‑target amounts by surpassing their goals.

EEO Statement

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.