Matrix Global
Data Product Manager
- Miami, Florida
- Onsite
- full time
- Posted today
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About the role
We are seeking a Data Product Manager to join our Data & AI practice in Singapore. This role acts as the critical bridge between business stakeholders, data consumers, and delivery teams, owning the strategy, prioritization, and lifecycle of data products supporting CPG and retail clients acros
Unlike traditional product roles, you will be embedded in client engagements as a trusted advisor—translating business needs into scalable data solutions, defining product value, and driving adoption from concept through delivery.
Key Responsibilities
Data Product Strategy & Ownership
Define and own the vision, roadmap, and lifecycle of data products (data marts, feature stores, reporting layers, ML outputs, and self-service analytics)
Translate business objectives into clear product requirements, user stories, and acceptance criteria
Prioritize backlog based on business impact, feasibility, and timelines
Establish and monitor KPIs (data quality, adoption, business outcomes, SLA adherence)
Promote a product-led mindset focused on measurable outcomes
Stakeholder & Requirements Management
Partner directly with senior stakeholders across commercial, supply chain, finance, and operations
Lead discovery sessions, workshops, and use-case prioritization
Ensure alignment across business, delivery, and technical teams
Act as the escalation point for scope decisions and trade-offs
Communicate product updates clearly to both technical and non-technical audiences
Delivery Collaboration
Align product roadmap with delivery plans alongside engineering and delivery leadership
Define user stories, functional specifications, and data contracts
Actively participate in agile ceremonies as the voice of the business
Lead UAT and data validation to ensure quality and acceptance
Manage scope changes and requirements evolution in a structured way
CPG & Retail Domain Application
Identify high-value use cases across commercial analytics, demand planning, trade promotion, category management, and supply chain visibility
Guide clients on the shift from raw data to governed data products
Support adoption through data literacy and change management initiatives
Contribute to pre-sales with use case frameworks and ROI-driven narratives
Data Governance & Quality
Define standards for ownership, lineage, SLAs, access, and documentation
Ensure scalability, governance, and monitoring of data products
Support data stewardship models and self-service policies
Embed data quality controls across the product lifecycle
Required Qualifications
5+ years in product management, business analysis, or data consulting (2+ years in data/analytics products)
Experience defining data pipelines, BI/analytics, or ML-driven solutions in client-facing environments
Strong knowledge of modern data stacks (data warehousing, modeling, APIs, reporting layers)
Proven ability to drive alignment across business and technical stakeholders
Experience in agile environments with backlog ownership
CPG or retail domain experience
Strong communication skills with the ability to produce executive-level materials
Bachelor’s degree in a relevant field
Preferred Qualifications
Hands-on experience with Snowflake, Databricks, or BigQuery; basic SQL skills
Familiarity with BI tools (Tableau, Power BI, Looker, ThoughtSpot)
Knowledge of data governance and metadata management tools
Exposure to ML product workflows and lifecycle management
Experience
Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.
We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.
With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.
At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.
Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.
Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.
To learn more, visit: www.matrix-ifs.com
EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.
Requirements
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Skills
- Product Management
- Data Strategy
- Data Governance
- Agile Methodologies
- Business Analysis
- Stakeholder Management
- Data Pipelines
- BI Tools
- Machine Learning
- SQL
- Snowflake
- Databricks
- BigQuery
- Data Modeling
- Retail Domain
- CPG Domain
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