Senior Manager, Agentic Analytics Platform Engineering

About the role

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are seeking an exceptional leader and technical strategist for the role of Senior Manager, Agentic Analytics Platform 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.

What You’ll Do

- Strategic Roadmap & AI Innovation: 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.

- Semantic Layer Architecture: Lead the design, implementation, and governance of centralized enterprise semantic layers to ensure unified metrics definitions, data lineage, and seamless self-service BI reporting.

- Data Modeling & BI Infrastructure: Oversee the development of sophisticated data models and architectures using dbt to support efficient data availability, governance, and advanced dashboarding.

- Team Leadership & Coaching: Manage, mentor, and scale a collaborative team of engineering professionals, giving them the autonomy and resources to deliver high-impact business outcomes.

- Cross-Functional Collaboration: Partner closely with executive stakeholders, product managers, data scientists, and finance leads to translate evolving business goals into robust technical frameworks.

- Performance Optimization & Pipeline Health: Ensure the operational excellence, reliability, and performance optimization of core data pipelines, warehouses, and reporting tools.

Key Skills and Qualifications

- Proven Leadership: Prior experience directly managing, motivating, and retaining high-performing technical teams within the data engineering, analytics, or BI space.

- Advanced Analytics Expertise: Strong hands-on technical background in dbt, SQL, relational databases (e.g., PostgreSQL), and enterprise data warehousing solutions like Snowflake, BigQuery, or Redshift.

- Semantic & BI Tool Mastery: Demonstrated experience building centralized semantic layers and leveraging enterprise BI platforms (Looker preferred).

- AI & Predictive Capabilities: Familiarity or direct experience incorporating AI tools, natural language processing, or predictive models into BI frameworks to enhance user data interaction.