Data Product Manager

As a Data Product Manager, you are to support the execution of product delivery plans, management of stakeholder requirements, and adoption of internal enterprise data products. You will work closely with the Data Product Management leads and embedded delivery squads, and is expected to function as an independent contributor capable of leading technical delivery for specific product initiatives.

• Manage the end-to-end lifecycle of assigned data products including vision, discovery, delivery, operations, and deprecation. Maintain product roadmaps, use cases, metrics, and documentation.
• Translate business priorities into product requirements and measurable outcomes. Drive adoption and usage of data products that lead to revenue growth, efficiency, or risk reduction. Track OKRs.
• Collaborate with internal stakeholders across Business, Risk, Operations, and Technology to capture needs, align roadmaps, and manage expectations. Serve as the voice of the customer within the Enterprise Data Office.
• Define data product SLAs, access controls, metadata, and lineage requirements. Ensure products adhere to data privacy, security, and regulatory standards (e.g., NPC, BSP, AMLC).
• Manage product backlogs, sprints, and releases in coordination with delivery teams. Ensure timely, high-quality delivery through iterative product development practices.
• You may be assigned additional duties aligned to data strategy initiatives, cross-functional projects, audits, or regulatory compliance, as agreed under the scope of the engagement.
• Contribute to the AIDE department's Center of Excellence by establishing and documenting data science best practices, reusable code repositories, and standard operating procedures for future engagements.
• Assist the broader MDI Novare organization by providing technical expertise, effort estimations, and architectural recommendations for prospective client pitches or new project scoping.
  

Requirements

EXPERIENCE REQUIREMENTS:

• Product Management: product lifecycle ownership, roadmapping, user story definition, stakeholder alignment, value tracking
• Data Skills: working knowledge of data modeling, lineage, governance, metadata, and catalog tools
• Technical Literacy: familiarity with data platforms (data lakes, data warehouses), APIs, dashboards, and BI/analytics use cases
• Agile Delivery: experienced in Agile/Scrum practices including backlog grooming, sprint planning, and release coordination
• Behavioral Competency: Intermediate levels of Communication, Collaboration, Customer Focus, Critical Thinking, Accountability, and Results Focus
  

EDUCATIONAL REQUIREMENTS:

• Graduate of Information Systems, Computer Science, Business Administration, Statistics, Engineering, or related fields
• Certifications in Product Management (Pragmatic, AIPMM), Agile/Scrum, Data Governance, or Cloud platforms (AWS, GCP, Azure) is good to have, but not required.
  

REQUIRED SKILLS:

• Has 3 to 8 years of hands-on experience in data, analytics, product development, or related functions
• Preferably with working knowledge of core banking domains: customers, loans, deposits, transactions, compliance
• Hands-on experience with JIRA, Confluence, SQL, Tableau or Power BI, and data catalog solutions such as Collibra or Alation

Benefits

• Government Mandated Benefits (SSS, Pag-Ibig, Philheath, and 13th month)
• Health Insurance
• Standard Leave (Emergency, Sick, and Vacation)