Vice President of Product - Data and Insights

RedCloud is leveraging AI-powered technology to break down the barriers to fair and profitable trade in emerging markets. RedCloud's Intelligent Open Commerce Platform connects FMCG Brands, Distributors, and Local Merchants on a single, equitable marketplace, empowering them with real-world insights and data to help them make better decisions. RedCloud enables FMCG Brands to seize new opportunities in emerging markets, facilitates access to more buyers & streamlines operations for Distributors, and helps Local Merchants spend more time selling products, not searching for them. The company comprises a highly diverse, dynamic team of driven talented people from over twenty different countries, speaking multiple languages, with a physical footprint in Africa, Europe, and Latin America.

We are seeking a visionary and strategic Vice President of Product for Data and Insights with deep expertise in data-driven products, particularly within the B2B commerce and FMCG (Fast-Moving Consumer Goods) industries. This role requires a robust understanding of data-as-a-service (DaaS) models, data monetization strategies, and a proven track record of converting complex datasets into actionable insights. Our ideal candidate will bring a balance of technical expertise and commercial acumen, with experience in designing and launching data-centric products that drive measurable business value.

As a VP of Product, you will own:

1. Data Product Strategy and Vision

• Define the vision, strategy, and roadmap for data and insights products, focusing on monetisation, user engagement, and scalability.
• Develop innovative data-as-a-service (DaaS) models and business strategies to enhance product value and revenue generation.
• Leverage deep market knowledge, especially within B2B commerce and FMCG, to identify customer needs and create solutions that provide meaningful data insights for brands, distributors, and retailers.

2. Product Development and Lifecycle Management

• Drive the end-to-end product lifecycle, from ideation and design to go-to-market strategies and execution, with a focus on experimentation and iterative improvement.
• Collaborate with engineering, data science, and business teams to develop and implement cutting-edge machine learning and statistical learning algorithms, with applications in supervised and unsupervised learning.
• Guide product teams in delivering impactful features such as price intelligence, demand forecasting, inventory optimization, and predictive analytics for brand and distributor decision-making.

3. Customer-Centric Data Insights

• Transform complex datasets into actionable insights, enabling brands, distributors, and retailers to make data-driven decisions.
• Focus on predictive and prescriptive insights that support initiatives such as bundling recommendations, cross-selling, and upselling for FMCG products.
• Drive the development of recommendation engines and intelligent algorithms that improve customer engagement and product adoption, with an emphasis on accuracy, relevancy, and usability.

4. Business Model and Go-to-Market Expertise

• Design and execute robust business models for data products, ensuring alignment with revenue goals, market demands, and customer needs.
• Implement experimentation frameworks to validate product hypotheses and optimize product performance based on customer feedback and data analysis.
• Lead go-to-market strategies for data and insights products, including positioning, pricing, and scaling across new and existing customer segments.

5. Cross-Functional Leadership and Collaboration

• Build and manage cross-functional teams, fostering collaboration between data science, engineering, marketing, and sales to deliver cohesive and high-impact products.
• Act as a thought leader within the company, educating teams on the power of data and insights while advocating for best practices in data governance and analytics.
• Serve as a bridge between technical and commercial teams, ensuring that product decisions align with both technological advancements and business objectives.

Experiencewe like to see:

Experience: 10+ years in product management, with a strong background in data-driven product strategy and development. Proven experience within the B2B commerce and/or FMCG sectors is a significant plus. Technical Knowledge: Advanced understanding of machine learning, statistical learning, recommendation engines, and data-to-insights frameworks. Hands-on experience with supervised and unsupervised learning models, predictive analytics, and recommendation systems. Commercial Acumen: Strong grasp of data monetization strategies, business model design, and go-to-market strategies for data products, with a focus on customer-centric design and ROI. Analytical Skills: Proficient in data analysis, including experience with price intelligence, demand forecasting, inventory optimization, and similar data-to-insights conversions.

This role is ideal for a forward-thinking product leader with a passion for data and insights, an understanding of advanced analytics, and the ability to drive impactful change within a dynamic industry. If you're ready to elevate data products that empower brands, distributors, and retailers to make smarter, data-informed decisions, we'd love to hear from you.