Senior Manager, Data Insights

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Docker, Inc

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51 - 200 employés

💰 €105 000 000 Series C en 2022-03

Chez Docker, nous simplifions la vie des développeurs qui créent des applications capables de changer le monde. Docker aide les développeurs à concrétiser leurs idées en maîtrisant la complexité du développement applicatif. Nous simplifions et accélérons les workflows grâce à un pipeline de développement intégré et à des composants applicatifs. Utilisés activement par des millions de développeurs dans le monde, Docker Desktop et Docker Hub offrent une simplicité, une agilité et un choix inégalés.

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.

🎯 Exigences

• 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

🏖️ Avantages

• 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