IT Leader, Data Science

Dow

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Midland, MIHouston, TXChampaign, IL
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Nov 26, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $187k
$121k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $159,093–$214,500.

Based on 240 similar postings.

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About Dow

Dow is a leading global materials science company providing innovative, sustainable solutions for packaging, infrastructure, mobility, and consumer applications.

Dow currently has 6 open roles on FindRole.

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At a glance

TL;DR · IT Leader, Data Science

The IT Leader, Data Science joins the Data Science & Engineering team within the Enterprise Data & AI organization. In this leadership role, you will manage and develop a team of data scientists to deliver advanced analytics and data science solutions that create measurable value. Your primary responsibilities include people leadership, team effectiveness, portfolio stewardship, and stakeholder partnership rather than serving as a lead technical practitioner. You will establish operating discipline across the data science development lifecycle, ensuring initiatives are prioritized, governed, and delivered effectively. You must utilize a working understanding of data science teams to advocate for resources and reinforce a performance-driven culture. Key competencies include managing MLOps practices, model governance, product delivery, and software engineering standards to solve complex business challenges and provide sustainable value.

What you'll do

  • Lead, coach, and develop a team of data scientists through clear expectations, feedback, and career guidance.
  • Build trusted partnerships with business leaders to identify, frame, and prioritize data science opportunities.
  • Own and prioritize the team’s portfolio by balancing enterprise needs, business value, and delivery risk.
  • Establish disciplined practices for intake, planning, governance, and status reporting across the data science lifecycle.
  • Represent the team to technical and non-technical audiences to communicate capabilities, priorities, and trade-offs.
  • Ensure the team has the standards, tools, and expertise to apply modern MLOps and software engineering practices.
  • Remove organizational barriers and support workforce planning, hiring, onboarding, and capability development.
  • Use stakeholder feedback and meaningful measures to improve delivery, adoption, and team effectiveness.

What we're looking for

  • A minimum of a bachelor’s degree is required, or 12 years of experience in lieu of a degree.
  • Relevant military experience at the E5 rank/Petty Officer 2nd Class or higher is required.
  • A minimum of three years of people management experience is required.
  • Demonstrated experience leading complex, cross-functional initiatives involving business and technology stakeholders is required.
  • Ability to work legally in the United States is required.
  • Degree in IT, Computer Science, Analytics, Engineering, Business, Chemistry, or a related discipline (preferred).
  • Experience managing high-skill technical, analytical, digital, or scientific teams is preferred.
  • Working knowledge of data science solution lifecycles, software engineering, MLOps, model governance, and product delivery is preferred.

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