At a Glance
- Tasks: Lead a team to create impactful data products that drive decision-making and evangelism.
- Company: Join CV, a global organisation dedicated to sharing the gospel and making a difference.
- Benefits: Full-time role with opportunities for personal and professional growth in a mission-driven environment.
- Other info: Collaborate globally and contribute to a culture of service and excellence.
- Why this job: Be part of a dynamic team shaping the future of evangelism through innovative data solutions.
- Qualifications: 5+ years in data analysis or product management; strong analytical skills required.
The predicted salary is between 36000 - 60000 £ per year.
CV (Christian Vision) is a global organization that exists to introduce people to Jesus and encourage them to become his true followers. Founded in 1988 by Robert Edmiston, CV is driven by a pioneering spirit embracing creativity and innovation to advance evangelism through new horizons, in both physical and digital realms. Are you 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 forging bold frontiers in evangelism.
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 Solihull, UK. This role is responsible for ensuring that CV’s data products are high-value: actionable and scalable and bring data insights to life, enabling CV’s teams, initiatives, and leadership make informed decisions using data.
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, business glossaries, catalogues, and analytics apps — ensuring they meet organisational, functional, and initiative needs.
- 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 such as Power BI, 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 (e.g., Power BI domains and workspaces) 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 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
- 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.
- Bachelors 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.
- Experience in the use of AI tools and agents for analytics and insight generation would be an advantage.
- 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 models or data warehouses.
- Familiarity with data governance and security best practices and commitment to championing data privacy, quality, and stewardship.
- 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.
Data Products Manager employer: CV
At CV, we pride ourselves on being a mission-driven organisation that not only focuses on evangelism but also fosters a supportive and collaborative work environment in Solihull. As an Executive Coordinator, you will benefit from opportunities for personal and professional growth while working alongside passionate individuals who share your commitment to making a meaningful impact. Our culture encourages continuous learning and upholds biblical values, making CV an exceptional place to develop your career while contributing to a greater purpose.
StudySmarter Expert Advice🤫
We think this is how you could land Data Products Manager
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Products Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CV, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CV. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CV
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CV!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
