Senior Manager, Data Insights

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, 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.

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.">