Senior Manager of Data Insights, Docker
$157.5-225k
Salary applicable to US candidates - may vary in other locations. Offers equity.
More information about location
App development platform
Be an early applicant
App development platform
501-1000 employees
Be an early applicant
$157.5-225k
Salary applicable to US candidates - may vary in other locations. Offers equity.
More information about location
501-1000 employees
Company mission
To increase the time developers spend on innovation, and decrease the time they spend on everything else.
Role
Who you are
- 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 the job involves
- The Senior. Manager, Data Insights will report to the VP, Data and Growth and optimize how internal teams share data to unlock actionable business intelligence
- This team is the data engine supporting Docker’s engineering, product, go-to-market (sales, marketing, customer success), and G&A teams. The Director will lead a team of high-performing data engineers, analysts, and scientists to build Docker’s next-generation data framework
- This role is responsible for data governance, infrastructure management, advanced modeling, and providing the foundation for machine learning
- As it is highly cross-functional, this role supports a bias for considered action and open collaboration across the entire organization by furnishing every team with immediate access to data
- Success in this role requires a strong people manager who can invest in the growth of both technical experts and aspiring leaders and the ability to manage via influence across the data professionals nested within partnering organizations
- This data team will tremendously impact the future of Docker’s growth as the vision is to provide the foundation for product and business intelligence that will fuel critical insights across the company
- This position will be a core member of the Data & Growth leadership team with opportunities to stretch beyond the bounds of the initial charter
- This Director will work with the core executive team at Docker to understand near-term and long-term data needs and report on the progress of data optimization throughout the company
- This role will also serve as a trusted consultant for org-wide initiatives focused on verticals outside of the core responsibilities
- This role will also serve as a leadership resource for founding technical teams
- 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
- First 30 days:
- Meet every member of the data team under Data Insights, key stakeholders in product, sales, marketing, and Finance, and cross-functional data leaders in the virtual data organization to discover their opinions on what works and what doesn’t. Then, identify focus areas for optimization
- Based on input from the team and an assessment of the current state of data, structure the team and finalize the roles and responsibilities to support the team's mission and deliverables
- Identify the top priority for the team to focus on in the next 30/60/90 days
- First 90 days:
- Deliver the data insights strategy for Docker
- Lead the virtual data organization in strategic planning and execution of prioritized projects
- Streamline the workflow from stakeholders' demands to actual deliverables for each data team
- Deliver the strategy plan to enable self-serve data analytics and roll out core data models
- Present the current data state and our Data insights strategy and execution plan moving forward to the leadership team
- Deliver a core set of metric definitions that are aligned across functional teams
- Finalize the North Star Metrics definition for all products and deliver the 2 sets of measurement and reporting of North Star Metrics
- Institute health metrics with a weekly review cadence to measure every data project complete with key performance indicators
- Set expectations on the deliverables. Mentor and guide the team so they can run day-to-day core functions of data operations without your direct engagement
- One Year Outlook:
- Lead the data Insights team to deliver data projects on time and with quality
- Streamline operation
- Provide a crystal clear view of the company's data insights project backlog and roadmap
- Deliver data insights (not just dashboard reports) to stakeholders
- Meet all milestones towards strategic initiatives like self-serve analytics, core data model rollout, etc
- The Data Team maintains a brand defined as customer-centric, helpful, and secure
Our take
Docker supplies a hub and desktop solution to simplify the workflow of app development teams. Originally known for popularising the idea of containerising software, it saw itself outpaced by Kubernetes. However, the company has identified a problem with the growing complexity of containerisation, with some apps consisting of dozens or even hundreds of containers - which is what it now addresses.
Docker has had a difficult time in the recent past, with 2019 seeing it sell off its enterprise business, reduce its workforce by hundreds, and change its leadership team. As a well known brand and ecosystem for containerisation, however, it aims to lure developers back to its product as well as to take advantage of the growing global demand for app development.
Returning to focus on developers rather than large companies was certainly a gamble, but one that seems to have paid off. The company has returned to profitability and raised Series C funding in 2022, which is cited to fund hiring new talent, ramping up its business, and continuing to develop and refine its product. It's also embarked on a series of acquisitions to bolster its business, with speculation mounting about its possible sale in the near future.
Steph
Company Specialist at Welcome to the Jungle
Insights
47% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
Mar 2022
$105m
SERIES C
Mar 2021
$23m
SERIES B
Total funding: $498m
Company benefits
- 100% company paid medical premiums for employees and dependents
- Flexible Time Off Policy
- “Whaleness” Days — At least 1 company wide day off per month
- Employer Paid Holidays
- Generous Maternity and Parental Leave
- Home Office Set Up Budget
- Monthly Technology Stipend
- Training Allowances
- Life and Disability Insurance
- Retirement Plans
- Virtual and In-Person Social Events
- Docker Swag
- Quarterly Hackathons
- Virtual Coffee with Co-Workers
Company HQ
China Basin, San Francisco, CA
Leadership
Don Johnson
(CEO)Previously Executive Vice President of Infrastructure at Oracle, was a Principal Engineer at Amazon and a Lead Software Engineer at RealNetworks.
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