Senior Manager, Data Insights

About the Role

Docker is at the forefront of the shift towards autonomous workflows, and this role will be instrumental in providing the foundation for product and business intelligence. The ideal candidate will have a strong background in data governance, infrastructure management, advanced modeling, and machine learning. This role is highly cross-functional, requiring a bias for considered action and open collaboration across the entire organization.

The Senior Manager, Data Insights will report to the VP, Data and Growth, and will work closely with the core executive team at Docker to understand near-term and long-term data needs. This role will also serve as a trusted consultant for org-wide initiatives focused on verticals outside of the core responsibilities.

What You Will 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

What We Are Looking For

• 8+ years of experience in data analytics, science, or engineering, with at least 3 years in a leadership role
• Strong technical skills in data modeling, data governance, and data infrastructure management
• Experience with machine learning and advanced analytics
• Proven track record of driving business growth through data-driven decisions
• Excellent leadership and management skills, with the ability to motivate and mentor high-performing teams
• Strong communication and collaboration skills, with the ability to work cross-functionally across the organization
• Experience with data visualization tools and techniques
• Strong understanding of data security and compliance

Nice to Have

• Experience with containerization and Docker
• Knowledge of programming languages such as Python, R, or SQL
• Experience with cloud-based data platforms such as AWS or GCP
• Certification in data science or analytics

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a leading company in the developer tooling space
• Flexible remote work arrangements
• Professional development opportunities
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment
• Recognition and reward for outstanding performance
• Comprehensive health and wellness benefits
• Generous PTO and holiday policy
• Remote stipend and home office setup support

• Tip: Highlight your experience with data governance and infrastructure management, as these are key areas of focus for this role.
• Ensure your resume and cover letter demonstrate a strong understanding of data-driven decision making and business growth.
• Showcase your ability to communicate complex technical concepts to non-technical stakeholders, as this is a critical aspect of the role.
• Be prepared to discuss your experience with machine learning and advanced analytics, and how you have applied these skills in previous roles.
• Research Docker's products and services to demonstrate your knowledge of the company and its mission.
• Consider creating a portfolio that showcases your data visualization skills and experience with data storytelling.
• Prepare to talk about your leadership style and how you motivate and mentor high-performing teams.