Data Product Manager

SUMMARY:
Data Product Manager

POSITION INFO:
Our client is a Data Product Manager to execute and optimize data products on their B2B data marketplace platform. You'll be responsible for managing the product lifecycle of data solutions that connect data sellers with enterprise buyers seeking actionable insights.
 
This role requires strong data product capabilities, effective stakeholder coordination, and the ability to execute in the technical and business environment of a two-sided marketplace.
 
Reporting to the Head of Data Product Growth, you'll work closely with established frameworks and processes while developing your strategic product leadership capabilities. This is an excellent opportunity for a product manager with strong technical data skills to grow into a senior role.
 
Key Responsibilities:
 
Data Product Strategy & Execution

• Execute on the data product roadmap, contributing to strategy development under guidance of the Head of Data Product Growth
• Manage assigned data product categories or seller portfolios, ensuring quality, accessibility, and monetization success
• Conduct technical evaluations of data seller assets within your portfolio, including data quality analysis, schema assessment, and integration feasibility
• Design and execute experiments to optimize data product performance using analytics and statistical methods
• Collaborate within product squads including data scientists, data engineers, and software engineers to deliver data solutions

• Conduct data discovery sessions with potential data sellers using established frameworks and templates
• Identify monetization opportunities that align seller data with buyer needs within your assigned focus areas
• Contribute to use case ideation across diverse industries and buyer personas
• Support business case development by articulating value propositions and revenue potential

• Create detailed technical requirements and specifications for data pipelines, APIs, and integration workflows
• Coordinate delivery of data products by working with Data Science, Data Engineering, UI/UX, and Engineering teams
• Build rapid prototypes to validate market demand and technical feasibility using provided tools and templates
• Translate business requirements into actionable technical specifications
• Work within established sprint cycles and agile processes

• Manage day-to-day relationships with data seller clients for your assigned portfolio
• Collaborate with Growth and Platform Development teams on opportunities and delivery
• Present data solutions to both technical and business audiences
• Escalate complex stakeholder issues and strategic decisions to Head of Data Product Growth
• Participate in joint meetings for high-value or complex seller relationships

• Ensure all data products meet enterprise-grade security, privacy, and regulatory requirements
• Implement monitoring and validation for data products within your portfolio
• Apply data governance frameworks across your assigned data sellers and products
• Maintain documentation and quality standards

• 3-5 years professional experience in data-related roles (data engineering, data science, business intelligence, or data product management)
• 4-6 years product management experience or demonstrated product thinking and delivery in data/analytics roles
• Experience working with cross-functional technical teams throughout product development
• Ability to frame problems and opportunities through business and user value lenses
• Exposure to B2B software or enterprise data environments

• Strong SQL proficiency and comfort with data analysis (required)
• Solid understanding of data pipeline concepts, data quality, and integration patterns
• Basic knowledge of API design and data delivery mechanisms
• Awareness of machine learning and statistical modelling applications
• Understanding of data governance principles and privacy regulations (GDPR, POPIA)
• Familiarity with cloud data platforms (Azure Synapse Analytics preferred)
• Experience with data visualization tools (Power BI highly desirable)

• Experience with prototyping and lean product development approaches
• Ability to communicate technical concepts to non-technical audiences
• Understanding of data monetization strategies and pricing models
• Strong analytical and quantitative decision-making skills
• Comfortable working in ambiguous, fast-paced environments
• Self-directed learner with growth mindset

• Bachelor’s degree in Computer Science, Statistics, Data Science, Engineering, or related field

• Python or Spark programming skills
• Prior product management experience in B2B SaaS or data platforms
• Solutions architecture experience or interest in developing these capabilities
• Experience with marketplace or platform business models
• Knowledge of alternative data industry and financial services applications
• Experience in regulated industries (financial services, healthcare)
• Familiarity with data contracts, SLAs, and enterprise data agreements
• Azure certifications or willingness to pursue certification
• Advanced degree in Data Science, Statistics, Computer Science, or related field

• On-time delivery of assigned data products and features
• Data seller satisfaction and retention for managed portfolio
• Data quality metrics and reliability for owned products
• Velocity of moving opportunities from discovery to prototype
• Quality and completeness of requirements documentation
• Contribution to revenue growth from assigned product categories
• Platform adoption and engagement metrics for owned products
• Stakeholder satisfaction ratings
• Personal capability development and learning milestones

• You have a strong technical data background and are excited to transition deeper into product management
• You can quickly understand a data seller's assets and identify potential monetization opportunities
• You balance attention to detail with pragmatic "ship and iterate" mentality
• You're comfortable working with frameworks and templates while bringing your own insights
• You proactively seek feedback and are committed to continuous learning
• You can translate between technical teams and business stakeholders effectively
• You're excited to work closely with senior leadership to develop strategic product skills
• You bring curiosity about how data creates value for enterprise buyers

• Flexible Working Arrangements: Whether you’re a night owl or an early bird, the company offer hybrid and remote options to suit your lifestyle
• Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company has got you covered.
• Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.