Data Commercialisation Lead

Blu Label Unlimited; Sandton; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Blu Label Unlimited is seeking an experienced Data Commercialisation Lead at our Grayston Drive, Sandton facility. You will drive data monetisation, define product roadmaps, and partner with leadership to convert insights into revenue growth.

Responsibilities include shaping data-driven pricing, monetising data assets, and establishing data partnerships across sectors while ensuring governance and privacy compliance. The role spans data science, product strategy, and commercial execution.

Qualifications

• 8 to 12+ years of experience spanning data analytics/data science and product or commercial strategy.
• Engineering / Data Science / Actuarial / Statistics / Economics / Business.
• MBA or equivalent (advantageous but not essential).
• Experience working with large-scale transactional datasets and deriving actionable insights.
• Proven track record of delivering measurable commercial impact, including revenue growth and margin improvement.

Responsibilities

• Develop and implement a comprehensive data commercialisation strategy aligned to business objectives.
• Identify and prioritise opportunities for new revenue generation, internal optimisation, pricing, and partnerships.
• Define and execute pricing, packaging, and go-to-market strategies for data-driven solutions.
• Build robust business cases and track ROI for all initiatives.
• Define and own the data product roadmap and lifecycle from concept to scale.
• Translate requirements into data products, features, and platform capabilities.
• Translate data-driven insights into commercial actions and drive decisions with leadership.
• Identify opportunities to reduce revenue leakage and improve margins.
• Package and monetise data via partnerships, licensing, and insights-as-a-service.
• Ensure data initiatives align with strategy and comply with privacy regulations.

Skills

Data analytics

Data science

Product strategy

Commercial strategy

Revenue growth

Stakeholder engagement

Cross-functional collaboration

Pricing strategy

Data governance

Education

Engineering / Data Science / Actuarial / Statistics / Economics / Business

MBA

Job description

We are searching for an experienced Data Commercialisation Lead at our Grayston Drive Sandton facility.

Primary Duties And Responsibilities

Job Purpose:

Unlock commercial value from the organisation’s data assets by identifying, developing, and scaling revenue-generating opportunities across products, strategic partnerships, and operational efficiencies. This role operates at the intersection of data science, product development, and commercial strategy, with clear accountability for transforming data insights into measurable outcomes, including revenue growth, margin improvement, and the creation of new business lines.

Key Responsibilities

Data Monetisation & Revenue Growth

• Develop and implement a comprehensive data commercialisation strategy aligned to business objectives
• Identify and prioritise opportunities for:
• New revenue generation (e.g. data products, APIs, partnerships)
• Internal optimisation (e.g. pricing enhancements, customer targeting, revenue assurance)
• Define and execute pricing, packaging, and go-to-market strategies for data-driven solutions
• Build robust business cases and continuously track and report on ROI for all initiatives

Product & Platform Development

• Define and own the data product roadmap in alignment with business priorities
• Translate business requirements into actionable deliverables, including:
• Data products, Customer-facing features, Platform capabilities
• Collaborate cross-functionally to design, develop, and launch scalable data products
• Oversee the full product lifecycle, from concept and pilot phases through to full-scale implementation

Commercial Insights & Decisioning

Drive Key Analytics Initiatives, Including

• Customer segmentation, Pricing optimisation, Behavioural insights
• Translate data-driven insights into clear commercial actions that deliver measurable performance improvements
• Partner with senior leadership to embed and champion data-driven decision-making across the organisation

Revenue Assurance & Optimisation

• Identify opportunities related to revenue leakage and cost inefficiencies
• Implement data-driven initiatives to improve margins and enhance operational efficiency
• Drive strategies aimed at increasing yield per customer through targeted optimisation efforts

Partnerships & Ecosystem Monetisation

• Identify opportunities to package and commercialise data for external use
• Establish and develop strategic partnerships across key sectors, including retail, FMCG, financial services, and telecommunications
• Structure and execute commercial models such as data licensing and insights-as-a-service offerings
• Manage commercial relationships, including deal structuring, negotiation, and ongoing partnership governance

Data Strategy & Governance Alignment

• Ensure all data initiatives are aligned with the overall business strategy and priorities
• Maintain compliance with applicable data privacy regulations and promote ethical data usage practices
• Support the development and enhancement of scalable data infrastructure and high-quality, business-ready datasets

Competencies

Behaviors

• Accountability, integrity and customer focus
• Initiative, adaptability and collaboration
• Attention to detail and time management
• Relationship building and change orientation

Essential

• Strong communication and interpersonal skills
• Organisation and attention to detail
• Problem-solving and initiative
• Adaptability, resilience and confidentiality
• Teamwork and customer-centricity
• Effective time management

Functional Competencies

• Commercial and product knowledge
• Advanced analytical and data skills
• Strategic thinking and decision-making
• Strong execution and delivery
• Stakeholder engagement and leadership
• Cross-functional collaboration and alignment

Education & Experience

• 8 to 12+ years of experience spanning data analytics/data science and product or commercial strategy
• Engineering / Data Science / Actuarial / Statistics / Economics / Business
• MBA or equivalent (advantageous but not essential)
• Experience working with large-scale transactional datasets and deriving actionable insights from complex data environments
• Proven track record of delivering measurable commercial impact, including revenue growth and margin improvement

Our company provides equal employment opportunities (EE) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.