Data Product Lead (AI)

Location: Hybrid, two days per week in the office at Dean Street, London, or Spinningfields, Manchester, United Kingdom. A work-from-anywhere scheme is available for two weeks per year.

Company

hirify.global operates consumer finance brands including MoneySuperMarket, MoneySavingExpert and Quidco, using data, cloud technology and AI to help customers make better financial decisions.

What you will do

• Lead Data Product and Advanced Analytics initiatives that support business strategy and create measurable customer and commercial value.
• Own the vision, objectives and roadmap for Advanced Analytics and MAPs, the account-level customer intelligence capability based on Main Account Facts, Activities and Predictions.
• Translate complex business challenges into product opportunities, objectives, KPIs and measurable outcomes.
• Balance priorities across CRM, Finance, Data and other teams, focusing investment and capacity on the highest-value opportunities.
• Partner with Data Science and Data Engineering to take products from discovery and proof of concept through production, adoption, monitoring and iteration.
• Lead, coach and develop three Data Product team members while communicating priorities, trade-offs and value to senior and executive stakeholders.

Requirements

• Strong experience in Data Product or Product Management, including discovery, prioritisation, roadmap ownership and defining successful outcomes.
• Experience leading Data Products from discovery through delivery, adoption and continuous improvement.
• Understanding of advanced analytics, predictive modelling and AI-enabled products and their business applications.
• Experience working across Data Science, Data Engineering and business teams to deliver scalable products.
• Experience leading, coaching and developing Product Managers, Product Owners or Data Product professionals.
• Strong commercial and analytical judgement, with prioritisation based on customer value, business impact, feasibility and capacity.
• Experience defining objectives, KPIs and success measures and using them to demonstrate product impact.
• Strong communication and stakeholder management skills, including influencing and communicating with senior and executive audiences.
• Understanding of data governance, privacy, risk and the responsible use of data and AI; an outcomes-focused, evidence-based and collaborative approach is expected.

Nice to have

• Experience with customer intelligence products and predictive use cases such as propensity, churn, lifetime value, forecasting or personalisation.
• Experience with modern cloud data platforms.
• Broader experience and perspectives relevant to Data Product, advanced analytics and AI.

Culture & Benefits

• Culture based on Accountability, Simplicity, Inclusion and Innovation, with emphasis on responsible innovation, data quality, privacy and explainability.
• 27 days of holiday, rising to 30, plus bank holidays.
• Bonus scheme and pension contribution of up to 6% from the employer.
• Enhanced shared parental leave: six months paid for both parents.
• Work-from-anywhere scheme for two weeks per year, plus mental health platform access and financial coaching.
• Inclusive, anti-racist and equal opportunity workplace with reasonable accommodations for disabled applicants and employees.

Hiring process

• Initial call with a Talent Acquisition team member.
• Interview with Data leadership focused on Data Product experience, leadership approach and turning complex data opportunities into measurable outcomes.