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Data Science Manager Jobs in Madison, WI (NOW HIRING)

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Play an active role in the product requirements process, giving feedback to product management when ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Play an active role in the product requirements process, giving feedback to product management when ...

Iff

Digital & Data Innovation Co-op

Madison, WI · On-site

Pursuing a degree in Statistics, Data Science, Management Information Systems, Computer Science, Microbiology or a related technical field . * GPA of 3.0 or higher preferred or demonstrated projects.

Wisconsin

Data Engineer

Madison, WI

$50K/yr

Either two years of related experience in social science, epidemiology, or population health, OR equivalent training or experience in data management or data curation. * Experience reviewing other ...

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All JobsData Science Manager JobsData Science Manager Jobs in Madison, WI

Data Science Manager information

See Madison, WI salary details

$31.2K

$97.9K

$173.3K

How much do data science manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data science manager in Madison, WI is $97,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Madison, WI? The most popular types of Data Science jobs in Madison, WI are:
What are popular job titles related to Data Science Manager jobs in Madison, WI? For Data Science Manager jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Madison, WI look for? The top searched job categories for Data Science Manager jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Science Manager jobs? Cities near Madison, WI with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Madison, WI as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $97,900 per year, or $47.1 per hour.
Executive Director, AI and Enterprise Data Management

Executive Director, AI and Enterprise Data Management

Arrowhead Pharmaceuticals

Madison, WI • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
Arrowhead Pharmaceuticals is a commercial stage biopharmaceutical company focused on developing innovative drugs using RNA interference technology. The Executive Director of AI and Enterprise Data Management will lead the strategy and deployment of AI and data capabilities across the organization, enhancing operational efficiency and ensuring compliance with regulations.
Responsibilities:
• Define and execute a unified enterprise data and AI strategy aligned with company growth and R&D and commercialization goals
• Identify high-impact AI and data opportunities across all functions (R&D, Clinical, CMC, Manufacturing, G&A and etc.)
• Drive executive alignment on AI and data strategy, including opportunities, risks, and investment priorities
• Lead the design and implementation of an enterprise data platform enabling data integration across R&D, CMC, Clinical, and commercial domains
• Establish scalable data architecture to support real-time pipelines, advanced analytics, machine learning, agentic AI workflows, and AI-driven insights
• Enable interoperability and data sharing across previously siloed systems
• Define and own the enterprise AI acceptable-use policy, responsible AI framework, and guardrails for LLM deployment in regulated (GxP) workflows
• Ensure alignment with emerging regulatory guidance on AI/ML (FDA AI framework, NIST AI RMF, ISO 42001) and maintain audit-ready documentation for AI systems in regulated contexts
• Establish AI model lifecycle governance including validation, performance monitoring (LLMOps), and deprecation procedures
• Partner with Legal, Compliance, and Information Security to manage AI vendor risk and data privacy obligations
• Establish enterprise data governance frameworks including ownership, stewardship, data classification, quality standards, and lifecycle management
• Ensure compliance with regulatory requirements including GMP, GLP, GCP, SOX and data integrity standards
• Partner with Information Security to implement robust data protection, privacy, and AI governance guardrails
• Partner with IS and business function leaders to identify opportunities for data integration and AI-driven value creation
• Act as a bridge between technical and non-technical stakeholders to ensure adoption and impact
• Partner with business and IS leaders to prioritize, design, and deploy AI solutions that improve decision-making and operational efficiency
• Oversee development and scaling of AI agents and technology across functions such as Commercial, Finance, HR, and Legal
• Manage strategic relationships with AI vendors and development partners, including contracting, performance oversight, and alignment to enterprise standards
• Ensure all AI tools and vendors comply with security, data governance, and regulatory requirements in partnership with Information Security and Legal
• Build and lead a high-performing, multidisciplinary team spanning data engineering, data science, AI/ML, and informatics
• Integrate and scale the existing digital workspace/agent experimentation team into a formal enterprise function
• Foster a culture of innovation, collaboration, and continuous learning
Qualifications:
Required:
• 12+ years of experience in data, analytics, AI/ML, or informatics leadership roles
• Bachelor’s degree in Computer Science, Data Science, Engineering, Life Sciences, or a related field.
• Proven experience building and scaling enterprise data platforms and AI capabilities
• Experience in life sciences, biotechnology, pharmaceutical industry, or technology industry
• Demonstrated success operating in regulated environments
• Experience supporting commercial-stage organizations or scaling companies
• Deep understanding of modern data architectures, cloud platforms, and AI/ML technologies
• Strong business acumen with ability to translate strategy into execution
• Experience leading cross-functional transformation initiatives
• Ability to balance innovation with risk management and compliance
Preferred:
• Advanced Degree in Data Science, Engineering, Life Sciences or Business.
• Pharmaceutical industry experience
Company:
Arrowhead Pharmaceuticals is a biotechnology company that focuses on the development of medicine to treat diseases with a genetic origin. Founded in 1989, the company is headquartered in Pasadena, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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