Senior Director, Data Science & Engineering

11 hours, 2 minutes ago
Full-time
Executive
Software Development
Unite Us

Unite Us

Unite Us offers a whole person care platform that connects healthcare providers, government agencies, and community organizations to create coordinated care networks, enabling them to address the comprehensive needs of individuals by integrating social...

Diversified Consumer Services
251-1K
Founded 2013
$195M raised

Description

  • Lead, mentor, and develop engineering and data science managers and their teams.
  • Own the technical strategy, architecture, and multi-quarter roadmap for the data platform and Insights product line.
  • Establish engineering and analytical standards for code review, testing, CI/CD, model validation, monitoring, and incident response.
  • Guide architecture across data pipelines, lakehouse or warehouse platforms, and applied data science/ML workflows in AWS.
  • Manage capacity planning, prioritization, dependencies, and delivery risks across multiple teams.
  • Partner with Product, Engineering, UX, Analytics, and Application Engineering leaders to translate business strategy into scalable technical plans.
  • Represent the data organization with executive stakeholders and report on goals and key performance indicators.
  • Define career ladders, performance standards, succession plans, and development paths for managers and senior individual contributors.
  • Recruit and hire engineering and data science talent, including manager-level candidates.

Requirements

  • 8+ years of progressive experience in software engineering, data engineering, and/or data science, including multi-team leadership.
  • 5+ years of people management experience, including managing managers or senior individual contributors.
  • 2+ years of experience in healthcare, digital health, or health technology using Agile methodologies.
  • Demonstrated success building complex software and data products in healthcare and/or government environments.
  • Experience with data pipeline architectures such as Apache Airflow and large-scale databases or cloud data warehouses such as Snowflake, Redshift, or Databricks.
  • Experience with performance tuning and cost management for data platforms.
  • Working knowledge of applied data science and ML workflows integrated with production data platforms.
  • Strong programming knowledge, including SQL and Python.
  • Experience operating in regulated or compliance-sensitive data environments.
  • Experience with cloud infrastructure, preferably AWS.
  • Excellent communication skills and ability to present technical strategy to executive audiences.
  • Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience.
  • Remote, U.S.-based availability; preference for ET or CT time zones, with 5–10% travel.
  • Successful completion of criminal, employment, and education background checks.

Benefits

  • Target salary range of $225,000–$275,000.
  • Remote U.S.-based work with company-provided home-office equipment.
  • Medical, dental, and vision insurance, including virtual mental health and acute medical visits.
  • Flexible time off, volunteer and mental health days, and 14 paid company-wide holidays.
  • Paid parental leave, including for adoptive parents.
  • 401(k) with employer match, immediate vesting, and financial wellness resources.
  • HSA, FSA, commuter benefits, wellness platform, and Employee Assistance Program.
  • Life, disability, accident, and pet insurance, plus employee resource groups.

Interested in this position?

Apply directly on the company website

Apply Now

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