Sr. Product Manager - Conversational Analytics

About the role

The Sr. Product Manager - Conversational Analytics role at 3M is designed for professionals with a background in data, analytics, AI/ML initiatives, particularly those with experience in private, public, government, or military environments. This role involves leading the transition from descriptive analytics to decision science, driving the development of conversational analytics solutions, and implementing decision science frameworks to support strategic, operational, and financial decision-making.

Responsibilities

• Lead the transition from descriptive analytics to Decision Science, building intelligent products that provide proactive recommendations across the enterprise.

• Drive the development of Conversational Data Analysis solutions that allow users to query data via natural language, moving away from rigid dashboarding to fluid, role-based insights.

• Drive the roadmap of predictive models, tools and utilities that will be leveraged by AI Agents to drive automated decisions in business processes across Commercial, Operational and Enterprise functions.

• Implement decision science frameworks to support strategic, operational, and financial decision-making, enabling predictive and prescriptive insights that drive measurable business outcomes.

• Develop insight systems that deliver real-time, context-aware intelligence tailored to specific roles—from executives to frontline operators.

• Establish robust enterprise capabilities in Data Cataloging, Metadata Management, and Semantic Data Fabric architecture to ensure high-fidelity data is ready for AI/ML consumption.

• Build and scale enterprise Knowledge Graphs and Business Ontologies to unify structured and unstructured data, enabling deep reasoning and power context aware enterprise search.

• Build context-aware enterprise data layers, ensuring data is ready for consumption by advanced AI models and automation tools across R&D, Manufacturing, Supply Chain, and Commercial functions.

• Collaborate with the Data Platform, Data Engineering, AI Engineering, Product Management, Master Data Management (MDM), and Data Observability teams to ensure alignment on architectural standards, unified data governance, and operational reliability.

• Drive the adoption of intelligent insights across the value chain—including Product Development, Portfolio Management, Operations, Sales, and Customer Experience—serving as a strategic advisor to senior leadership.

• Establish governance models for data quality, model reliability, trust scores, semantic consistency, and Responsible AI.

Requirements

• Bachelor's degree in computer science, Data Science (completed and verified prior to start)

• 10+ years of experience leading data, analytics, AI/ML initiatives in a private, public, government, or military environment

• 5+ years of deep expertise in designing, architecting and delivering data engineering, ML platforms, and generative AI ecosystems

• Preferred experience with Data Lakehouse architectures, Graph Data Architectures, and cloud-native engineering

• Experience with Intelligent data products or data-as-a-product programs including Knowledge graphs and semantic data layers

• Experience with Generative AI solutions, with preferred experience building conversational data analysis solutions

• Experience with AI driven 360 degree solutions such as Customer 360, Supplier

• Experience with AI driven solutions in Marketing, Supply Chain and Finance domains (Customer Behavior Predictions, Demand Planning, Financial Forecasting, Customer Lifetime Value, Customer Churn etc)

• Experience with AI Ops and ML Ops managing the full lifecycle of AI/ML Models including Data Drift, Model Drift and Model Risk Management

• Experience with Enterprise data catalog and metadata platforms

Qualifications

• Strategic thinker with a deep understanding of technology and its application in business contexts

• Ability to lead cross-functional teams and drive strategic initiatives

• Strong analytical and problem-solving skills

• Excellent communication and interpersonal skills

• Experience with data visualization tools and platforms

• Knowledge of data privacy and security regulations

Skills

• Data engineering and data management

• Machine learning and AI

• Knowledge graph and ontology building

• Conversational data analysis

• Decision science and predictive modeling

• Enterprise data catalog and metadata platforms

• Collaboration with cross-functional teams

• Change management and adoption strategies

Benefits

At 3M, we offer a comprehensive benefits package that includes:

• Competitive base pay and variable incentive pay

• Health, dental, and vision insurance

• Health savings accounts and dependent care flexible spending accounts

• Disability benefits

• Life insurance

• Voluntary benefits

• Paid absences

• Roth and Traditional 401(k) plans

Pay & Benefits

The expected compensation range for this position is $221,591 - $270,834, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.).

Equal Opportunity Employer

3M is an equal opportunity employer and is committed to providing a workplace free from discrimination and harassment. We celebrate diversity and welcome applicants of all backgrounds, experiences, abilities and perspectives. We are committed to equal employment opportunities regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.