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Data Science Product Manager Jobs in Indiana (NOW HIRING)

Product Manager Qualifications: * Bachelor's degree in Business, Marketing, Food Science, or ... Strong analytical skills with experience using syndicated data (IRI, Nielsen, Circana, etc.

Product Manager Qualifications: * Bachelor's degree in Business, Marketing, Food Science, or ... Strong analytical skills with experience using syndicated data (IRI, Nielsen, Circana, etc.

Product Manager Qualifications: * Bachelor's degree in Business, Marketing, Food Science, or ... Strong analytical skills with experience using syndicated data (IRI, Nielsen, Circana, etc.

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Product Manager Qualifications: * Bachelor's degree in Business, Marketing, Food Science, or ... Strong analytical skills with experience using syndicated data (IRI, Nielsen, Circana, etc.

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

New

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

New

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

New

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

New

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

New

You'll collaborate with Data scientists, designers, product engineers, Dev Rel, marketing, and PMs ... Managing multiple parallel projects and iterations alongside engineering, and ensuring timely ...

You'll collaborate with Data scientists, designers, product engineers, Dev Rel, marketing, and PMs ... Managing multiple parallel projects and iterations alongside engineering, and ensuring timely ...

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Showing results 1-20

Data Science Product Manager information

See Indiana salary details

$49K

$151.7K

$187.5K

How much do data science product manager jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data science product manager in Indiana is $151,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,200.00 and $187,500.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
What are popular job titles related to Data Science Product Manager jobs in Indiana? For Data Science Product Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in Indiana look for? The top searched job categories for Data Science Product Manager jobs in Indiana are:
What cities in Indiana are hiring for Data Science Product Manager jobs? Cities in Indiana with the most Data Science Product Manager job openings:
Infographic showing various Data Science Product Manager job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $151,684 per year, or $72.9 per hour.
Advisor, Sr. Product Manager - Manufacturing Intelligence

Advisor, Sr. Product Manager - Manufacturing Intelligence

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

$120K - $159K/yr

Full-time

Re-posted 23 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

44th of 74 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) - it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better - join our team today!
Your Role: Product Manager
As a Product Manager for Manufacturing Intelligence, you will play a pivotal role in modernizing Elanco's global manufacturing operations. You will guide a dedicated product team to discover and deliver high-value digital solutions that enhance plant-floor efficiency and decision-making. In this role, you'll be responsible for advancing our manufacturing intelligence capabilities, including Overall Equipment Effectiveness (OEE) and Predictive Maintenance, by steering the strategy for key platforms like AVEVA PI, Seeq, and Ekhosoft. Partnering closely with global process owners and manufacturing leaders, you will transform our digital agenda into tangible outcomes that directly support Elanco's mission.
Your Responsibilities:
Product Strategy & Vision: Define and communicate the product vision, strategy, and roadmap for manufacturing intelligence solutions, including OEE, Predictive Maintenance, and analytics platforms (e.g., AVEVA PI, Seeq, Ekhosoft).
Discovery & Delivery: Guide the end-to-end product lifecycle, from discovering user needs with global manufacturing partners to delivering valuable and feasible digital solutions.
Backlog Management: Own, maintain, and prioritize the product backlog to ensure the team's work aligns with strategic goals and delivers iterative value to modernize manufacturing operations.
Stakeholder Partnership: Collaborate closely with global process owners, manufacturing site leads, and IT teams to ensure solutions meet business requirements and are compliant with GxP standards.
What You Need to Succeed (minimum qualifications):
Education: Bachelor's degree in a relevant field (e.g., computer science, data science, business).
Experience: 5+ years of technology experience showcasing proficient learning agility and 3+ years of CSV/CSQ experience implementing, validating, and maintaining GxP systems and supporting manufacturing operations.
Top Skills: Deep expertise in product management principles; Proficient understanding of manufacturing intelligence systems and GxP regulations.
What will give you a dedicated edge (preferred qualifications):
Direct experience with AVEVA PI, Seeq, or Ekhosoft.
Experience working directly within a large-scale, global manufacturing network.
Demonstrated ability to influence cross-functional teams without formal authority.
Additional Information:
Travel: 10-15%
Location: Global Elanco Headquarters - Indianapolis, IN - Hybrid Work Environment
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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