Decision Science Product Manager

Clarios•Milwaukee, WI

32d•Hybrid

About The Position

Clarios is seeking a Decision Intelligence Product Manager responsible for overseeing the development and delivery of products that enable business users to make smarter decisions using data, automation, and AI. This position connects business strategy, data, and technology to ensure decision intelligence solutions can support, augment, and automate decision-making across operational, tactical, and strategic levels. This role requires a team member who leads by example, is confident, perseverant, inspirational, disciplined and dependable. In addition, this individual needs to be highly collaborative, a strong communicator and always on the lookout for continuous improvement opportunities. This will be onsite in Milwaukee, WI 3 days a week. How You Will Do It Product Strategy & Vision - Establish and communicate the vision, strategy, and roadmap for decision intelligence products. Align product objectives with business goals and stakeholder requirements across departments. Incorporate 'human in the loop', 'human on the loop', and 'human out of the loop' functionalities based on business and technology maturity. Evangelize Decision Intelligence - Serve as a thought leader and advocate for decision intelligence across the organization. Promote awareness, understanding, and enthusiasm for decision intelligence products through demos, workshops, and storytelling. Partner with change management and communications teams to drive cultural adoption of data-driven decision-making. Digitize Decision Frameworks - Lead efforts to digitize core business decision frameworks, enabling consistent, scalable, and transparent decision-making processes. Stakeholder Engagement - Collaborate with business leaders and regional IT peers to identify challenges and opportunities in decision-making. Convert business needs into product features and technical specifications. Product Management - Represent customer perspectives and lead the decision intelligence product team through the product lifecycle, including ideation, launch, and iteration. Rank features and improvements according to impact, feasibility, and user feedback. Ensure timely delivery of solutions that achieve targeted business results. User Experience & Adoption - Design user interfaces that facilitate complex decision processes and provide necessary explainability for users. Encourage adoption through training, documentation, and ongoing enhancements. Data & AI Integration - Coordinate with data engineering teams to maintain a unified data infrastructure connecting sources, business logic, and analytical models. Collaborate with data science teams to incorporate predictive models, optimization algorithms, and other AI capabilities into decision workflows. Promote data visualization, scenario modeling, and simulation tools for informed decision-making. Performance & Impact Measurement - Set KPIs and success metrics for decision intelligence products. Record decisions and outcomes to support continuous learning and development. Track usage, performance, and business impact and adjust as needed In order to succeed in this role, the individual must have a sound knowledge of creating business values, in addition to internal business acumen that complement the work. Strategic Thinking: Demonstrates the capability to connect product vision with overarching business strategy and long-term organizational objectives. Business Acumen: Possesses comprehensive expertise in operational, financial, and strategic decision-making processes. Decision Modeling: Proficient in applying frameworks for evaluating business decisions and forecasting outcomes. Communication & Influence: Excels in storytelling, stakeholder engagement, and change management. Product Management: Experienced in agile methodologies, backlog prioritization, and effective cross-functional collaboration. User-Centric Design: Dedicated to delivering intuitive and impactful user experiences. Innovation & Evangelism: Committed to promoting adoption and fostering a culture of data-driven decision-making. Data Literacy: Advanced knowledge of data, analytics, and AI/ML technologies. Stakeholder Management: Skilled at aligning diverse stakeholder groups around a unified vision. Results Orientation: Results-driven and pragmatic, demonstrating a proactive approach to achieving measurable outcomes and overcoming obstacles. Collaboration: Strong ability to build partnerships and collaborate effectively with colleagues to achieve shared goals.

Requirements

8+ years of experience in an agile environment, operating as a product manager
8+ years of data/analytics/AI-related work experience in a corporate/ manufacturing environment preferred.
Experience with agile tools (e.g., JIRA, Azure DevOps, monday.com).
Knowledge of decision intelligence product or platform is a strong plus.
Ability to lead initiatives, manage projects, and work in a matrix environment with multiple IT, Analytics and business user groups
Sound analytical abilities and business sense, with experience building out business cases for capital funding.
Demonstrated high energy level and the drive required to proactively lead activities within a dynamic business environment.
Hands-on style and willingness to perform a range of detailed work.
The motivation, adaptability, and professional qualities to work well with individuals in multiple disciplines and across global organizations.
Microsoft Office proficient, familiarity with Teams using video and audio technology
Ability to understand business goals and recommend new approaches and procedures
Ability to travel up to 10%

Responsibilities

Establish and communicate the vision, strategy, and roadmap for decision intelligence products.
Align product objectives with business goals and stakeholder requirements across departments.
Incorporate 'human in the loop', 'human on the loop', and 'human out of the loop' functionalities based on business and technology maturity.
Serve as a thought leader and advocate for decision intelligence across the organization.
Promote awareness, understanding, and enthusiasm for decision intelligence products through demos, workshops, and storytelling.
Partner with change management and communications teams to drive cultural adoption of data-driven decision-making.
Lead efforts to digitize core business decision frameworks, enabling consistent, scalable, and transparent decision-making processes.
Collaborate with business leaders and regional IT peers to identify challenges and opportunities in decision-making.
Convert business needs into product features and technical specifications.
Represent customer perspectives and lead the decision intelligence product team through the product lifecycle, including ideation, launch, and iteration.
Rank features and improvements according to impact, feasibility, and user feedback.
Ensure timely delivery of solutions that achieve targeted business results.
Design user interfaces that facilitate complex decision processes and provide necessary explainability for users.
Encourage adoption through training, documentation, and ongoing enhancements.
Coordinate with data engineering teams to maintain a unified data infrastructure connecting sources, business logic, and analytical models.
Collaborate with data science teams to incorporate predictive models, optimization algorithms, and other AI capabilities into decision workflows.
Promote data visualization, scenario modeling, and simulation tools for informed decision-making.
Set KPIs and success metrics for decision intelligence products.
Record decisions and outcomes to support continuous learning and development.
Track usage, performance, and business impact and adjust as needed

Benefits

Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire
Tuition reimbursement, perks, and discounts
Parental and caregiver leave programs
All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits
Global market strength and worldwide market share leadership
HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility
Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction.

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