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# Manager, Agentic Analytics Platform Engineering

- **Company:** DigitalOcean, LLC
- **Location:** Seattle, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Data Discovery, Information Engineering, Data Structures, Relational Databases, PostgreSQL, Natural Language Processing, Performance Tuning, Digitalocean, SQL Databases, Enterprise Data Management, Snowflake, Data Layers, Core Data, Information Technology, Data Lineage, Tools for Reporting, Looker Analytics
- **Published:** September 24, 2026
- **Apply:** https://startup.jobs/senior-manager-agentic-analytics-platform-engineering-digitalocean-10173915

## About the Role

* 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.
 * Executive Communication: Exceptional aptitude for translating complex data structures into actionable insights and presenting technical trade-offs clearly to internal business partners.
 * Educational Foundation: Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical work experience.

## Description

* 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.


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