Senior Data Product Manager - Knowledge & AI Services

Bain & Company; Chicago (IL); Hybrid; USD 164,000 - 198,000; Full time

Benefits offered by this job

Comprehensive benefits

401(k) contribution

Paid time off

Job summary

Bain & Company seeks a data product leader to own a portfolio of data products across knowledge & research systems, partnering with product management, engineering, and business stakeholders to shape strategy and roadmaps.

You will guide data architecture, ensure data quality, and drive adoption while collaborating with data engineering, analytics, and privacy teams. The role emphasizes delivering high-value insights and AI-enabled experiences within a hybrid in-office model.

Qualifications

• Bachelor’s degree plus 7+ years of progressive experience.
• 7+ years of experience in data product management, product ownership, analytics, data strategy, or data management.
• Experience owning data products or data capabilities from discovery through adoption and continuous improvement.
• Experience with agile/Scrum development and managing backlogs, requirements, and delivery across multiple workstreams.
• Strong understanding of data modeling, data pipelines, data quality, metadata, lineage, governance, and BI concepts.
• Exceptional ability to bridge technical and business communication and influence senior business stakeholders and technical teams.
• Experience shaping requirements and leading projects amid ambiguity, dependencies, and competing priorities.
• High performance standards, as demonstrated through academic or previous professional experience.

Responsibilities

• Own a portfolio of data products end to end, including reliability, business value, adoption, documentation, and continuous improvement
• Independently lead data product initiatives from problem definition and discovery through design, delivery, launch, and adoption
• Shape the data product roadmap and prioritize work based on business value, adoption, data quality, strategic alignment, and risk
• Connect data products to high-value use cases across the case lifecycle, including knowledge discovery, research, reporting, and AI
• Collaborate with data engineering, analytics engineering, architecture, AI, search, and platform teams to influence what is built and how it is designed
• Shape data product architecture, data models, metric definitions, semantic layers, and reporting requirements
• Partner with practices, case teams, Knowledge Management, Research and Data Services, PPK, and other business leaders to shape and draft requirements
• Translate complex business needs into clear, buildable data product requirements, epics, user stories, and acceptance criteria
• Lead discovery sessions, working groups, design reviews, user testing, demonstrations, and stakeholder decision forums
• Oversee data quality, reliability, freshness, lineage, discoverability, accessibility, and service-level expectations
• Partner with Data Stewards, Legal, Risk, Information Security, and Privacy teams to address governance and access requirements
• Drive data literacy and adoption through communications, training, enablement, and embedded user feedback
• Maintain a clear, prioritized backlog aligned with the data product strategy and roadmap, including writing and refining user stories and acceptance criteria
• Determine which work is ready for delivery and validate that completed work meets agreed requirements
• Lead team meetings and sprint reviews, identifying dependencies, risks, and impediments and driving their resolution

Skills

Data product management

Agile/Scrum

Data modeling

Stakeholder influence

Requirements shaping

Tech-Biz communication

Education

Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, or related field

Tools

Databricks

Snowflake

dbt

Power BI

Tableau

APIs

Data catalogs

Semantic models

Job description

Bain & Company seeks a data product leader to own a portfolio of data products across knowledge & research systems, partnering with product management, engineering, and business stakeholders to shape strategy and roadmaps.

You will guide data architecture, ensure data quality, and drive adoption while collaborating with data engineering, analytics, and privacy teams. The role emphasizes delivering high-value insights and AI-enabled experiences within a hybrid in-office model.