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 templatesIdentify monetization opportunities that align seller data with buyer needs within your assigned focus areasContribute to use case ideation across diverse industries and buyer personasSupport business case development by articulating value propositions and revenue potentialProduct Development & Delivery
Create detailed technical requirements and specifications for data pipelines, APIs, and integration workflowsCoordinate delivery of data products by working with Data Science, Data Engineering, UI / UX, and Engineering teamsBuild rapid prototypes to validate market demand and technical feasibility using provided tools and templatesTranslate business requirements into actionable technical specificationsWork within established sprint cycles and agile processesStakeholder & Client Management
Manage day-to-day relationships with data seller clients for your assigned portfolioCollaborate with Growth and Platform Development teams on opportunities and deliveryPresent data solutions to both technical and business audiencesEscalate complex stakeholder issues and strategic decisions to Head of Data Product GrowthParticipate in joint meetings for high-value or complex seller relationshipsData Governance & Quality
Ensure all data products meet enterprise-grade security, privacy, and regulatory requirementsImplement monitoring and validation for data products within your portfolioApply data governance frameworks across your assigned data sellers and productsMaintain documentation and quality standardsRequired 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 rolesExperience working with cross-functional technical teams throughout product developmentAbility to frame problems and opportunities through business and user value lensesExposure to B2B software or enterprise data environmentsTechnical & Data Expertise
Strong SQL proficiency and comfort with data analysis (required)Solid understanding of data pipeline concepts, data quality, and integration patternsBasic knowledge of API design and data delivery mechanismsAwareness of machine learning and statistical modelling applicationsUnderstanding 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 approachesAbility to communicate technical concepts to non-technical audiencesUnderstanding of data monetization strategies and pricing modelsStrong analytical and quantitative decision-making skillsComfortable working in ambiguous, fast-paced environmentsSelf-directed learner with growth mindsetRequired Qualifications
Bachelors degree in Computer Science, Statistics, Data Science, Engineering, or related fieldPreferred Skills and Qualifications
Advantageous Experience
Python or Spark programming skillsPrior product management experience in B2B SaaS or data platformsSolutions architecture experience or interest in developing these capabilitiesExperience with marketplace or platform business modelsKnowledge of alternative data industry and financial services applicationsExperience in regulated industries (financial services, healthcare)Familiarity with data contracts, SLAs, and enterprise data agreementsAzure certifications or willingness to pursue certificationAdvanced degree in Data Science, Statistics, Computer Science, or related fieldSuccess Metrics
On-time delivery of assigned data products and featuresData seller satisfaction and retention for managed portfolioData quality metrics and reliability for owned productsVelocity of moving opportunities from discovery to prototypeQuality and completeness of requirements documentationContribution to revenue growth from assigned product categoriesPlatform adoption and engagement metrics for owned productsStakeholder satisfaction ratingsPersonal capability development and learning milestonesWhat Makes You Stand Out
You have a strong technical data background and are excited to transition deeper into product managementYou can quickly understand a data seller's assets and identify potential monetization opportunitiesYou balance attention to detail with pragmatic "ship and iterate" mentalityYou're comfortable working with frameworks and templates while bringing your own insightsYou proactively seek feedback and are committed to continuous learningYou can translate between technical teams and business stakeholders effectivelyYou're excited to work closely with senior leadership to develop strategic product skillsYou bring curiosity about how data creates value for enterprise buyersWhy 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 lifestyleComprehensive 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.