Senior Manager, Data Insights

🕒 April 29

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Logo of Docker, Inc

Docker, Inc

51 - 200 employees

💰 $105M Series C on 2022-03

At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

📋 Description

• 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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