Senior Manager, Agentic Analytics Platform Engineering

DigitalOcean•Seattle, WA

2d•$160,000 - $195,000•Hybrid

About The Position

We are seeking an exceptional leader and technical strategist for the role of Senior Manager, BI Engineering. In this position, you will act as a player-coach, leading a high-performing team of engineering professionals while driving the next generation of our business intelligence infrastructure. You will bridge the gap between complex data architecture and executive-level strategic direction, serving as a primary catalyst for data proficiency and data governance across the organization.

Requirements

Prior experience directly managing, motivating, and retaining high-performing technical teams within the data engineering, analytics, or BI space.
Strong hands-on technical background in dbt, SQL, relational databases (e.g., PostgreSQL), and enterprise data warehousing solutions like Snowflake, BigQuery, or Redshift.
Demonstrated experience building centralized semantic layers and leveraging enterprise BI platforms (Looker preferred).
Familiarity or direct experience incorporating AI tools, natural language processing, or predictive models into BI frameworks to enhance user data interaction.
Exceptional aptitude for translating complex data structures into actionable insights and presenting technical trade-offs clearly to internal business partners.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical work experience.

Responsibilities

Own the strategic vision and technical roadmap for building and deploying a cutting-edge, AI-enabled analytics solution to automate insights and streamline data discovery.
Lead the design, implementation, and governance of centralized enterprise semantic layers to ensure unified metrics definitions, data lineage, and seamless self-service BI reporting.
Oversee the development of sophisticated data models and architectures using dbt to support efficient data availability, governance, and advanced dashboarding.
Manage, mentor, and scale a collaborative team of engineering professionals, giving them the autonomy and resources to deliver high-impact business outcomes.
Partner closely with executive stakeholders, product managers, data scientists, and finance leads to translate evolving business goals into robust technical frameworks.
Ensure the operational excellence, reliability, and performance optimization of core data pipelines, warehouses, and reporting tools.