Cloud Computing

Senior Manager, Agentic Analytics Platform Engineering

Seattle, WAHybridFull TimeManager / Head$192,000–$240,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

AI-enabled analytics
semantic layers
data lineage
self-service BI
data models
data governance
data pipelines
warehouse
reporting tools
technical teams

Nice to have

player-coach
strategic vision
streamline data discovery
unified metrics definitions
seamless self-service BI reporting
sophisticated data models

Role summary

We are seeking a Senior Manager, BI Engineering to lead a team and drive the next generation of business intelligence infrastructure. This player-coach role involves owning the strategic vision for an AI-enabled analytics solution, designing semantic layers, and overseeing data modeling with dbt. Responsibilities include team leadership, cross-functional collaboration with executives and data scientists, and ensuring the performance of data pipelines and warehouses. Qualifications include proven leadership in data engineering/BI, expertise in dbt, SQL, relational databases, enterprise data warehousing (Snowflake, BigQuery, Redshift), semantic layers, BI platforms (Looker preferred), and familiarity with AI/predictive models in BI. Strong executive communication skills are essential.

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.

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.

Compensation Range:

$192,000 - $240,000

Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.

Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.

*This is a hybrid role

JR: 2026-8236

#LI-Hybrid#LI-TB1

Why You’ll Like Working for DigitalOcean

We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.

We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.

We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.

We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Sample DigitalOcean interview questions

1
Design a system for managing a distributed chaos engineering platform.
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2
Design a system for real-time monitoring of cloud infrastructure.
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3
Architect a real-time document collaboration tool.
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4
Build a system for recognizing faces in real-time with high accuracy.
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5
Longest Consecutive Sequence Determine the length of the longest consecutive elements sequence. Input: nums = [0,3,7,2,5,8,4,6,0,1] Output: 9 Explanation: The longest consecutive sequence is 0 through 8 (length 9), utilizing a hash set to check connectivity in linear time.
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