Canada•United States
Remote
Senior
Full Time
3 days ago
💰$ 157,500 - $ 225,000
remotedata_insightsmanagementsenior_manager
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
What You'll Do
- •Own the roadmap and execution for data modeling, delivering data insights, prioritizing projects that align with business objectives and deliver measurable ROI
- •Establish, provide, maintain, and own 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, analysts 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 to create synergies across the collective data stakeholders
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
About Docker
Docker’s platform helps millions of developers efficiently and collaboratively build, share, and run applications.
Palo Alto, CA
500 - 1000
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