Senior Manager, Data Insights

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the roadmap and execution for data modeling, offering data insights, and prioritizing projects that align with business goals while delivering measurable ROI.

• Responsible for establishing, maintaining, and managing Docker’s single source of truth for data.

• Lead discussions with business leaders to uncover their data capabilities and align on shared objectives.

• Ensure the maintenance of business capabilities, data, and processes while transitioning data services to an optimized state.

• Enhance data models using a framework that meets immediate business needs while also preparing for future scaling requirements.

• Collaborate in the strategic planning process by contributing to the definition of initiatives and providing insights into impact, dependencies, overlaps, and opportunities.

• Work closely with engineers, analysts, and data scientists to determine technical requirements and design, implement, and refine data models for use across various analytical solutions.

• Oversee data optimization initiatives with all business partners, from analysis through planning, design, development, implementation, and evaluation.

• Develop data strategy for Docker.

• Create both internal and external data products.

• Manage the data project backlog and roadmap.

• Provide leadership, technical guidance, and mentorship to data teams within the Data and Growth organization.

• Maintain vendor relationships and establish processes related to the evaluation and selection of third-party systems/applications.

• Drive continuous analysis and enhancement of data tech stack features, utilization, releases, best practices, and returns on investment in alignment with the company and functional vision and strategy.

• Establish strong feedback loops with business partners (Onboarding, Knowledge Management, Methodology, Instructional Design) to foster synergies among collective data stakeholders.

⛳️ Requirements

• Over 10 years of experience leading teams to develop modern data architectures, focusing on learning and development with progressively increasing responsibilities.

• More than 6 years of direct people management experience with a proven ability to cultivate data professionals.

• Strong leadership capabilities.

• Extensive background in data modeling and machine learning technologies.

• Experience in product management and engineering.

• Proven track record in owning, implementing, and architecting large centralized data stores.

• Experience in driving vendor selection and managing contract negotiations.

• A successful history of influencing internal stakeholders and managing vendor partnerships.

• Experience collaborating with cross-functional teams.

• Proven track record of leading high-growth teams and scaling in a startup environment.

• Practical knowledge of the OKR framework is preferred.

• Strong analytical skills to identify key metrics and enhance operations for measurable impact.

• Proficient in building and managing an incident response framework for data teams.

• Excellent program management skills.

🏝️ Benefits

• Freedom & flexibility; adapt your work around your life.

• Designated quarterly Whaleness Days and an end-of-year Whaleness break.

• Home office setup; we want you to be comfortable while working.

• 16 weeks of paid parental leave.

• Technology stipend of $100 net/month.

• PTO plan that encourages you to take time for the things you enjoy.

• Training stipend for conferences, courses, and classes.

• Equity; as a growing start-up, we want all employees to share in the company's success.

• Docker Swag.

• Medical benefits, retirement plans, and holidays vary by country.

• Remote-first culture, with offices located in Seattle and Paris.