Data Products Manager

Who We Are

CV (Christian Vision) is a global organisation that exists to introduce people to Jesus and encourage them to become his true followers. Evangelism is at the heart of all we do at CV, bringing the gospel to people around the world in both physical and digital realms.

If you are passionate about sharing the gospel and motivated by a desire to create meaningful change at scale, CV offers a unique mission-driven opportunity to join a team harnessing innovation and navigating new frontiers within evangelism.

Job Overview

We are seeking a skilled, creative, and strategic

Data Products Manager who shares our passion for evangelism and wants to join our dynamic team in Cape Town, South Africa. This role is responsible for ensuring that CV’s data products are high-value: actionable, agent-consumable, and scalable to bring data insights to life, enabling CV’s teams, initiatives, and leadership to make informed decisions using data. As CV’s AI programme scales, the Data Products Manager is on the critical path: the certified, AI-ready data products the AI Strategy depends on flow through this role.

Leading a team of data analysts and BI developers, and working in partnership with the Data Operations Manager, the Data Products Manager acts as a senior business analyst interfacing with all parts of the organisation. They own the data products roadmap for solving business questions, and manage the user delivery platforms and tools to ensure that teams across CV, and trusted partners, are empowered and equipped to maximize value from data products leveraging data as a strategic asset for insight generation, decision-making and missional learning.

Specific Responsibilities

In coordination with the Data Operations Manager, define and manage the full lifecycle and roadmap of certified data products — including datasets, semantic models, dashboards, data stories, AI-enabled features, business glossaries, catalogues, and analytics apps — ensuring each product is documented, versioned, and specified to an agent-consumable standard so it is ready for both human and AI consumers.
Translate diverse business requirements into clear product specifications and manage the intake, backlog refinement, and prioritisation of reporting and analytics requests.
Line Manage Data Analysts and BI Developers in the Data and Insight Team, setting objectives, coordinating workload, and fostering strong delivery capability and stakeholder engagement skills.
Ensure cohesive collaboration between the Analyst team, Data Operations, and other Technology functions to enable smooth data flow, system interoperability, and shared accountability.
Oversee the design, development, and delivery of high-quality dashboards, reports, and visual insights in tools ensuring they are well-documented, performant, and aligned to user needs.
Partner with Data Operations, Infrastructure, and Cybersecurity teams to maintain and optimise data product environments for secure, efficient access and reliable performance.
Embed key dashboards, insights, and triggers into stakeholder workflows, supporting their integration into daily decision cycles and organisational rhythms, and providing documentation and training to support adoption and maximisation of value.
Develop and implement a data communications and literacy strategy, in collaboration with CV’s communications team, to make data resources, catalogues, and knowledge bases accessible, visible, and well-understood.
Champion data-informed culture across CV by deploying enablement resources, providing tailored guidance to non-technical users, and modelling excellence in data storytelling and interpretation.
Track adoption, performance, and impact of data products, establishing metrics and feedback loops to drive iterative improvement and demonstrate business value.
Act as a strategic business analyst and cross-functional connector, partnering with Mission, Governance, and other Functions to ensure analytics solutions are aligned with CV’s strategic goals and empower self-service, AI-ready insight across the organisation.
As part of a global organisation, you will be required to collaborate across time zones, which may involve out-of-hours availability.

General Responsibilities

Fulfil all duties outlined above for this specific role, and as directed below for all team members within CV. This includes, but is not limited to:

Actively pursue personal, professional, and spiritual growth.
Contribute positively to our team culture by upholding CV’s values in attitude and action.
Comply with all CV policies, procedures, and regulatory requirements.
Maintain confidentiality and demonstrate integrity in all matters.
Engage fully in staff and team meetings, collaboration, and communication.
Commit to continuous learning and development as needed for the role.
Foster respectful, clear, and constructive communication across all interactions.
A practising Christian in full agreement with the CV Statement of Faith.
Actively involved in a local church or Christian faith community.
Committed to living according to biblical values.

Skills, Experience And Education

At least 5 years of experience as a data analyst, BI developer and product manager with strong expertise in enterprise deployment and adoption of data analytics tools and platforms such as Power BI/Fabric, Tableau, Looker, Qlik, etc.
Practical experience working with AI tools and agents in an analytical context is expected; understanding how data quality tiers, semantic definitions, and lineage affect what AI can reliably reason from is essential.
Bachelor's degree in a numerate or analytical discipline such as mathematics, statistics, engineering, computer science, data science or operational research. Postgraduate or professional qualifications with an emphasis on product management would be an advantage.
Strong data analysis skills using tools such as SQL, Excel, Tableau, Power BI, Python, etc. Solid experience in the use of AI tools and agents for analytics and insight generation is required; a successful candidate must be able to apply the “AI proposes, humans decide” principle in analytical workflows, specify which quality tier (Trusted, Certified, or Provisional) applies to each AI-assisted output, and identify where human review is non-negotiable.
Strong analytical and product management skills, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements which provide intuitive analytical outputs.
Experience with enterprise data platform architectures and tooling
Familiarity with data governance and security best practices and commitment to championing data privacy, quality, and stewardship – including the governance of AI use of data: ensuring AI tools only access trusted data, that quality tier is disclosed in AI outputs, and that new AI use cases involving data products are registered in line with the AI Strategy governance model.
Demonstrated proficiency in managing technical and human resources to provide data solutions and services.
Excellent written and oral communication skills, and the ability to interact professionally cross-functionally and cross-culturally across all levels of the organisation. Experience of working internationally and cross-culturally would be an advantage.
Experience in collaborative team working, contributing to and encouraging a culture of service delivery of the highest quality.
Ability to think and act creatively, and adaptably to problem solve.
Ability to successfully engage in multiple initiatives simultaneously.