Data Product Management Consultant

Overview

Data Product Management Consultant role supporting data enablement and data product initiatives for Commercial Banking and related financial services domains.

What you'll do

• Participate in low to moderate complexity data product initiatives and identify opportunities for data roadmap improvements within scope of responsibilities that drive data enablement and capabilities across platforms and utilities.
• Review and analyze basic business, operational, or technical assignments or challenges that require research, evaluation, and selection of alternatives to drive low to moderate-risk data enablement strategies, roadmaps, and deliverables.
• Present recommendations for resolving low to moderately complex data product situations, and exercise independent judgment while developing expertise in data, analytics, and integration needs of line of business partners that impact prioritization, roadmap, and architecture design.
• Collaborate and consult with functional colleagues, internal partners, and stakeholders to understand business requirements and prioritization and ensure data product solutions are built for optimal performance.
• Manage low to moderate-complexity datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance and standards.
• Participate in the creation and maintenance of data product roadmaps with detailed specifications, requirements, and flows for data capabilities.
• Gather data requirements and document data needs from a variety of sources throughout the data product life cycle.
• Communicate low to moderate complexity data problems and initiatives in a digestible manner to all audiences.

What you'll need

• 2+ years of data product or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 2+ years of experience in product management, data management, data strategy, analytics, business intelligence, technology delivery, or a combination of these disciplines.
• 2+ years of experience supporting Commercial Banking, Corporate Banking, Commercial Lending, Treasury Management, Commercial Real Estate, Syndications, or a related financial services domain.

Nice to have

• Experience with Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory, notebooks, semantic models, Real-Time Intelligence, and Power BI.
• Knowledge of Commercial Banking customer, relationship, organizational hierarchy, lending, credit, collateral, treasury, payments, profitability, and portfolio data domains.
• Experience with data mesh, data-as-a-product, domain-oriented ownership, data contracts, data marketplaces, or self-service analytics operating models.
• Experience defining reusable semantic layers, business measures, analytical models, APIs, or knowledge services.
• Familiarity with AI and generative AI enablement patterns, including Copilot experiences, semantic search, retrieval-augmented generation, vector search, and knowledge graphs.
• Working knowledge of SQL, data modeling, analytics, cloud lakehouse architectures, APIs, Spark, Python, or Fabric notebooks.
• Experience operating in a highly governed environment with risk, compliance, privacy, cybersecurity, records management, and model governance considerations.
• Ability to balance strategic product direction with hands-on backlog management and delivery execution.

Details

• Ability to work on-site in accordance with the applicable location and organizational work arrangement.
• Ability to collaborate with stakeholders across India and United States time zones as business needs require.
• May require periodic participation in planning, governance, release, or executive stakeholder meetings outside standard local working hours.