# Senior Manager, Data Insights

**Company:** [Docker](https://hotfix.jobs/companies/docker)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $158k – $225k/yr
**Experience:** 10+ years
**Skills:** Data Modeling, Machine Learning, Data Architecture, Data Engineering, Data Warehouses, Okr Framework, Program Management, Data Analytics, Data Governance, Data Strategy
**Posted:** 2026-04-28

> Leads a team of data engineers, analysts, and scientists to build and optimize Docker's data framework, including modeling, governance, infrastructure, and ML foundations. Delivers actionable insights to engineering, product, GTM, and G&A teams while managing cross-functional data initiatives.

## Job Description

## 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**.">

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