Senior Director, Data Science & Engineering
Uniteus · United States
About this role
**Senior Director, Data Science & Engineering** *Department: Product Development* --- ## About the Role The Senior Director, Data Science & Engineering owns the technical strategy, architecture, and delivery of Unite Us’ data platform and Insights product line—spanning both data engineering and data science. You’ll manage a team of managers and senior individual contributors, ensuring the roadmap balances technical soundness, business impact, and long-term platform scalability. You’ll partner closely with Product, Engineering, and Analytics leadership to translate company strategy into a coherent multi-team roadmap. You’ll stay close enough to the technical details to make sound architectural tradeoffs, evaluate build-vs-buy decisions, and unblock complex cross-team dependencies. You’ll also build, mentor, and manage engineering and data science managers, define what a high-performing team looks like, and represent the data organization to executive stakeholders. --- ## What You’ll Do ### Team Leadership & People Development - Lead, mentor, and grow a group of engineering and data science managers (and, through them, 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 ICs. - Manage team-of-teams performance (technical + personnel), 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 (code review, testing, CI/CD, model validation, monitoring, 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; sequence initiatives and align timelines with business goals. - Manage capacity planning and prioritization across multiple teams, resolving contention and adapting to shifting priorities. - Identify and mitigate delivery risks early; escalate judiciously without damaging relationships. ### Cross-Functional Collaboration - Act as a thought partner to Product, UX, and Analytics on the Insights roadmap and broader data strategy. - Represent the data organization to senior leadership; translate initiatives into actionable team goals and report key performance indicators. - Partner with Application Engineers, Product Managers, and other engineering teams to translate requirements into scalable pipeline and platform designs. ### Hiring & Talent - Identify, recruit, and hire top engineering and data science talent, including manager-level hires. --- ## You’re a Great Fit If - 8+ years of progressive experience across software engineering, data engineering, and/or data science, including leading multi-team initiatives. - 5+ years of people management experience, including managing managers or senior individual contributors. - At least 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 architectu
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