Data Product Manager

Role:

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

Discovery & Opportunity Development

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

Product Development & Delivery

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

Stakeholder & Client Management

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

Data Governance & Quality

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

Required Qualifications & Skills

Product Management Foundation

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

Technical & Data Expertise

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)

Product & Business Skills

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

Required Qualifications

Bachelors degree in Computer Science, Statistics, Data Science, Engineering, or related field

Preferred Skills and Qualifications

Advantageous Experience

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

Success Metrics

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

What Makes You Stand Out

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

Why youll love working for the company

The company believes in taking care of their team and creating an environment where you can thrive. As part of their company, youll enjoy:

Flexible Working Arrangements: Whether youre 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.

Performance Incentives: Competitive salaries, ESOP, and recognition for your hard work.