Senior Manager, Data Insights

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

The Senior. Manager, Data Insights will report to the VP, Data and Growth and optimize how internal teams share data to unlock actionable business intelligence. This team is the data engine supporting Docker’s engineering, product, go-to-market (sales, marketing, customer success), and G&A teams. The Director will lead a team of high-performing data engineers, analysts, and scientists to build Docker’s next-generation data framework. This role is responsible for data governance, infrastructure management, advanced modeling, and providing the foundation for machine learning. As it is highly cross-functional, this role supports a bias for considered action and open collaboration across the entire organization by furnishing every team with immediate access to data. Success in this role requires a strong people manager who can invest in the growth of both technical experts and aspiring leaders and the ability to manage via influence across the data professionals nested within partnering organizations.

This data team will tremendously impact the future of Docker’s growth as the vision is to provide the foundation for product and business intelligence that will fuel critical insights across the company. This position will be a core member of the Data & Growth leadership team with opportunities to stretch beyond the bounds of the initial charter. This Director will work with the core executive team at Docker to understand near-term and long-term data needs and report on the progress of data optimization throughout the company. This role will also serve as a trusted consultant for org-wide initiatives focused on verticals outside of the core responsibilities. This role will also serve as a leadership resource for founding technical teams.

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  Own the roadmap and execution for data modeling, delivering data insights, prioritizing projects that align with business objectives and deliver measurable ROI.

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  Accountable for establishing, providing, maintaining, and owning Docker’s single source of truth for data

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  Facilitate discussions with business leaders to identify their data capabilities and align on objectives.

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  Maintain business capability, data, and processes while transitioning data services to an optimized state.

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  Mature data models using a framework that delivers on near-term business needs while optimizing for future needs at scale.

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  Partner in the strategic planning process by providing input to the definition of initiatives while providing visibility to impact, dependencies, overlaps, and opportunities.

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  Work closely with engineers, analyst and Data scientists to identify technical requirements and design, execute, and evolve data models for use across multiple analytic solutions.

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  Oversee data optimization projects across all business partners, from analysis through planning, design, development, implementation, and evaluation.

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  Build data strategy for Docker.

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  Build internal and external data products.

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  Responsible for the data project backlog and roadmap

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  Provide leadership, technical direction, and mentoring to data teams in the Data and Growth organization.

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  Own vendor relationships and define processes related to the evaluation and selection process of third-party systems/applications

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  Lead continuous analysis and improvement of data tech stack features, utilization, releases, best practices, and return on investments that align with the company & functional vision and strategy.

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  Build strong feedback loops with business partners (Onboarding, Knowledge Management, Methodology, Instructional Design) to create synergies across the collective data stakeholders.

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