SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 225,000 - 275,000 / annual
Unite Us is seeking a Senior Director of Data Science & Engineering to own the technical strategy, architecture, and delivery of the company's data platform and Insights product line. This role spans both data engineering and data science disciplines, with responsibility for managing a team of managers and senior individual contributors.
You will partner closely with Product, Engineering, and Analytics leadership to translate company strategy into a coherent multi-team roadmap while remaining deeply engaged with technical details to make sound architectural tradeoffs, evaluate build-vs-buy decisions, and unblock complex cross-team dependencies. You will build, mentor, and manage a group of engineering and data science managers, define what a high-performing team looks like, and hold the organization accountable to that standard.
Key responsibilities include:
**Team Leadership & People Development:** Lead, mentor, and grow a group of engineering and data science managers and their teams of data engineers, analysts, and data scientists. Set and hold a high bar for technical talent; define career ladders and growth paths for managers and senior individual contributors. Manage team-of-teams performance from both technical and personnel perspectives, including performance calibration and succession planning.
**Technical Strategy & Architecture:** Own the technical strategy and roadmap for the data platform and Insights product line. Establish and enforce engineering and analytical best practices across teams: code review standards, testing, CI/CD, model validation, monitoring, and incident response. Guide architecture decisions across data pipelines, the data lakehouse/warehouse, and applied data science/ML workflows, validating designs in AWS. Drive consistency and efficiency in data pipeline implementations and cross-product data/testing/deployment standards.
**Roadmap & Execution:** Own creation and execution of the group's multi-quarter roadmap, sequencing initiatives and aligning timelines with business goals. Manage capacity planning and prioritization across multiple teams, resolving contention and dynamically responding to shifting priorities. Identify and mitigate delivery risks before they become roadblocks.
**Cross-Functional Collaboration:** Act as a thought partner to Product, UX, and Analytics counterparts on the Insights roadmap and broader data strategy. Represent the data organization to senior leadership and executive stakeholders, translating high-level initiatives into actionable team goals. Partner with Application Engineers, Product Managers, and other engineering teams to translate business requirements into scalable pipeline and platform designs.
**Hiring & Talent:** Identify, recruit, and hire the best engineering and data science talent for the organization, including manager-level hires.
Unite Us' mission is to unlock the potential of every community by connecting community-based organizations, government agencies, and healthcare organizations to better collaborate and meet the needs of individuals in their communities. The company drives collaboration to predict, deliver, and pay for services that impact whole-person health.
**Requirements:**
- 8+ years of progressive experience across software engineering, data engineering, and/or data science, including experience leading multi-team initiatives
- 5+ years of people management experience, including experience managing managers or senior individual contributors
- 2+ years in healthcare, digital health, or health technology, using Agile delivery methodologies
- Experience building complex software and data products within healthcare and/or government settings, with demonstrable success
- Experience with data pipeline architectures (e.g., Apache Airflow), complex software systems, large-scale databases and/or cloud data warehousing platforms (e.g., Snowflake, Redshift, Databricks), including performance tuning and cost management
- Working knowledge of applied data science/ML workflows and how they integrate with production data platforms
- Strong knowledge of programming languages and paradigms, including SQL and Python
- Experience operating in a regulated or compliance-sensitive data environment
- Experience with Cloud infrastructure (AWS preferred) technologies
- Excellent verbal and written communication skills; ability to represent technical strategy to non-technical executive audiences
- BS/BA degree in Computer Science, Data Science, or a related field, or equivalent experience
