Senior Manager, Agentic Analytics Platform Engineering

DigitalOcean • Seattle, WA

1d • Hybrid

About The Position

DigitalOcean is 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.

Benefits

• Competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy
• Reimbursement for relevant conferences, training, and education
• Access to LinkedIn Learning's 10,000+ courses
• Bonus in addition to base salary
• Equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior