[Hiring] VP, Marketing Data Strategy @Forbes Advisor

Role Description

We're looking for a leader who wants to help build the future of marketing data strategy at Forbes Digital Marketing. Our Data & Analytics organisation sits at the heart of our mission. We build the products, platforms and intelligence that power marketing, commercial decision making, customer understanding and revenue growth across the business. As we continue to invest in first-party data, machine learning, marketing technology and AI, we're looking for a senior leader to help define the next phase of that journey.

This is not a traditional data leadership role. Working directly with the VP of Data Strategy, you'll act as a trusted technical counterpart - bringing deep expertise, challenging thinking, and helping shape strategic decisions across our marketing data ecosystem. You'll join an established leadership team spanning Engineering, Analytics, Data Science and Operations, helping define how customer data, marketing measurement, attribution, analytics and AI come together to improve business performance. You'll also act as a senior technical counterpart to key technology partners, helping ensure our strategy evolves alongside the wider marketing ecosystem.

If you're motivated by solving complex commercial problems, challenging conventional thinking, building products rather than projects, and helping organisations use data more effectively, we'd love to hear from you.

Responsibilities:

• Marketing Measurement & Attribution: Help define how we measure marketing performance across channels and ensure that our measurement strategy enables better commercial decisions.
• Customer Intelligence & First-Party Data: Help shape how customer data is collected, organised and activated across the business.
• Marketing Platforms & Activation: Ensure our marketing platforms receive the right data to optimise effectively and maximise commercial performance.
• Data Products & Decision Intelligence: Help move the organisation from one-off analysis towards reusable products and decision-support capabilities.
• Strategic Leadership: Challenge assumptions and influence the future direction of our marketing data strategy.
• Team Leadership & Capability Building: Play an important role in building and developing the next generation of leaders across Data & Analytics.

Qualifications

• Experience leading strategic marketing data, customer intelligence, analytics or data product initiatives that delivered measurable business outcomes.
• Deep expertise in at least one of the following:
  • Marketing measurement and attribution
  • Customer intelligence and first-party data
  • Applied data science and predictive modelling
  • Marketing platforms and activation
  • Data products and decision intelligence
• A track record of building products, platforms or capabilities that deliver measurable commercial outcomes.
• Deep understanding of Performance Marketing.
• Strong commercial judgement and the ability to prioritise initiatives based on business value.
• Confidence influencing senior stakeholders across both technical and non-technical audiences.
• Experience developing teams, coaching leaders and building organisational capability.
• Curiosity about emerging technologies - particularly AI - and a pragmatic approach to applying them where they create genuine business value.

Requirements

• We're deliberately not looking for someone who has done everything. Instead, you'll bring deep expertise in one or more of our strategic domains together with the ability to collaborate across the wider marketing data ecosystem.

Company Description

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.