Senior Manager, Agentic Analytics Platform Engineering
$192k - $240k • Seattle • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
DigitalOcean is seeking a Senior Manager, Agentic Analytics Platform Engineering to lead a high-performing team and drive the next generation of their business intelligence infrastructure. This player-coach role will bridge complex data architecture with executive strategy, fostering data proficiency and governance across the organization. The position involves owning the strategic vision for AI-enabled analytics solutions, leading the design of semantic layers, and overseeing data modeling and BI infrastructure using tools like dbt. The role also includes managing and mentoring engineering professionals, and collaborating with stakeholders to translate business goals into technical frameworks, while ensuring the performance and reliability of data pipelines.
Responsibilities
- Define and execute the strategic vision and technical roadmap for AI-enabled analytics solutions.
- Lead the design, implementation, and governance of centralized enterprise semantic layers.
- Oversee the development of sophisticated data models and architectures using dbt.
- Manage, mentor, and scale a team of engineering professionals.
- Collaborate with executive stakeholders, product managers, data scientists, and finance leads.
- Ensure operational excellence, reliability, and performance optimization of data pipelines, warehouses, and reporting tools.
Requirements
- Proven experience directly managing high-performing technical teams in data engineering, analytics, or BI.
- Strong technical background in dbt, SQL, relational databases (e.g., PostgreSQL), and enterprise data warehousing (e.g., Snowflake, BigQuery, Redshift).
- Demonstrated experience building centralized semantic layers and using enterprise BI platforms (Looker preferred).
- Familiarity or direct experience incorporating AI tools, NLP, or predictive models into BI frameworks.
- Exceptional ability to translate complex data structures into actionable insights and communicate technical trade-offs to business partners.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Benefits
- Annual bonus plan
- New hire equity grant
- Flexible time off
- Local team meetups
- Mental health and well-being support
- Reimbursement for relevant conferences, training, and education
- Employee Stock Purchase Program (in participating countries)