Senior Manager, Enterprise Data & Operations

BILL • San Jose, CA

4d

About The Position

We are looking for a Senior Manager, Enterprise Data & Operations to lead the evolution of our foundational data architecture and build a world-class operations function. This is a hands-on leadership role that blends deep technical expertise, architectural thinking, data product management, and operational excellence. In this role, you will be accountable for the Enterprise Data & Operations pillar, owning the reliability, quality, and consistency of our core data models and pipelines. You will partner closely across Product, GTM, Engineering, and Business teams to ensure our data foundation is scalable, governed, and aligned to real business needs. You won't just manage the work—you will roll up your sleeves to set the technical direction, redesign foundational models, and drive the standard for data engineering excellence.

Requirements

• Deep Architectural Expertise: Proven experience redesigning foundational enterprise data models with the ability to make high-quality decisions regarding grain, entities, relationships, and slowly changing dimensions.
• Strong Modeling Standards: Mastery of modern modeling patterns (3NF, dimensional, Data Vault) and the ability to guide teams toward structures that support real-world business processes and analytics.
• Operational Excellence: A passion for data reliability, including the implementation of data quality frameworks, observability, and guardrails to reduce manual processes and technical debt.
• Advanced Technical Skills: Expert-level proficiency in SQL and production experience with dbt (models, tests, packages), along with familiarity with orchestration tools (Airflow, Prefect, or Dagster).
• Modern Stack Experience: Hands-on experience with Lakehouse/Warehouse technologies (Starburst/Trino, Databricks, Snowflake, Redshift, or BigQuery) and layered architecture (Bronze/Silver/Gold).
• Engineering Best Practices: A commitment to automation-first principles, using Git, CI/CD, and DRY patterns within a cloud environment (AWS/GCP/Azure).
• Data Product Leadership: A "data product" mindset rather than a "ticket" mindset, with the ability to translate business problems into requirements, prioritize roadmaps, and manage stakeholders.
• People Management Experience: 3-5 years of experience managing, mentoring, and growing high-performing teams of data and analytics engineers.

Nice To Haves

• Experience with CDPs, identity models, Customer 360 concepts, or partnering with GTM/Marketing operations teams.

Benefits

• 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
• HSA & FSA accounts
• Life Insurance, Long & Short-term disability coverage
• Employee Assistance Program (EAP)
• 11+ Observed holidays and wellness days and flexible time off
• Employee Stock Purchase Program with employee discounts
• Wellness & Fitness initiatives
• Employee recognition and referral programs

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees