Senior Manager, Data Insights
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Job Description
Senior Manager driving data architecture and insights for Docker's growth. Leading a team supporting engineering, product, and marketing data needs.
Responsibilities:
- Own the roadmap and execution for data modeling, delivering data insights, prioritizing projects that align with business objectives and deliver measurable ROI.
- Accountable for establishing, providing, maintaining, and owning Docker’s single source of truth for data
- Facilitate discussions with business leaders to identify their data capabilities and align on objectives.
- Maintain business capability, data, and processes while transitioning data services to an optimized state.
- Mature data models using a framework that delivers on near-term business needs while optimizing for future needs at scale.
- Partner in the strategic planning process by providing input to the definition of initiatives while providing visibility to impact, dependencies, overlaps, and opportunities.
- 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.
- Oversee data optimization projects across all business partners, from analysis through planning, design, development, implementation, and evaluation.
- Build data strategy for Docker.
- Build internal and external data products.
- Responsible for the data project backlog and roadmap
- Provide leadership, technical direction, and mentoring to data teams in the Data and Growth organization.
- Own vendor relationships and define processes related to the evaluation and selection process of third-party systems/applications
- 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.
- Build strong feedback loops with business partners (Onboarding, Knowledge Management, Methodology, Instructional Design) to create synergies across the collective data stakeholders.
Requirements:
- 10+ years of work experience in leading teams to build modern data architectures with a focus on learning and development with progressively increasing responsibility
- 6+ years of direct people management experience and a proven track record of developing data professionals.
- Strong leadership skills
- Extensive experience in data modeling and machine learning technologies
- Experience in product management and engineering
- Experience owning, implementing, and architecting large centralized data stores
- Experience driving vendor selection and contract negotiation
- A strong track record of both internal stakeholder influence and vendor partner management
- Experience in working with cross-functional teams
- Track record of leading high-growth teams and scale in a startup environment
- Applied knowledge of the OKR framework preferred
- Strong analytical talents to identify key metrics and how to improve operations to yield measurable impact
- Accomplished in building and managing an incident response framework for data teams
- Excellent in program management
Benefits:
- Freedom & flexibility; fit your work around your life
- Designated quarterly Whaleness Days plus end of year Whaleness break
- Home office setup; we want you comfortable while you work
- 16 weeks of paid Parental leave
- Technology stipend equivalent to $100 net/month
- PTO plan that encourages you to take time to do the things you enjoy
- Training stipend for conferences, courses and classes
- Equity; we are a growing start-up and want all employees to have a share in the success of the company
- Docker Swag
- Medical benefits, retirement and holidays vary by country
- Remote-first culture, with offices in Seattle and Paris
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