Job Description

Our story

We were founded in 2004 to help business leaders leverage the full potential of their client relationships, so they were no longer putting out fires or finding themselves blindsided by revenue loss.



We are the leading provider of B2B Relationship Intelligence and uniquely possess over 20 years of benchmark data on client satisfaction across diverse industries. It's not only our decades of experience and primary data repository that make us unique, it's also our in-depth scoring system, The Relationship Rating (TRR). This gives a holistic view of customer satisfaction as the data goes deeper than the Net Promoter Score (NPS) method, providing real insight into the customer relationship.



We believe that effective relationship management is one of the most powerful yet underutilised strategies for achieving commercial stability and growth. By adopting a strategic approach to relationship management, we support businesses in leveraging these crucial connections to drive financial performance and growth.

The role:

As the Head of Data, you will be responsible for shaping and executing our data strategy, ensuring we effectively collect, analyse, and leverage data to drive business decisions. You will work closely with cross-functional teams, establish data governance best practices, and implement scalable data infrastructure.

What you will be doing:

Developing and executing a comprehensive data strategy aligned with business objectives Building, managing, and mentoring a high-performing technical team Designing and implementing scalable data architecture, automated processing pipelines, and analytics frameworks Drive advanced analytics and data science initiatives, including predictive modelling, to uncover actionable insights and support strategic decision-making and partner closely with the insights and analytics department Working closely with engineering, product, and business teams to derive insights and inform decision-making Driving data democratization across the company by promoting self-serve analytics Identifying and implementing machine learning and AI opportunities where applicable Monitoring data performance, reliability, and integrity to ensure high-quality data outputs Staying up-to-date with industry trends, tools, and best practices

What you will bring:

Strong decision-making skills Team leadership and management Project management skills Data model ownership (background in Salesforce highly beneficial but not strictly necessary) Data quality oversight Data collections/ingestion/completion Understanding of software development best practices Skills in analytics modelling and statistical modelling A background in data science/ML for future hires and team support - minimum be able to showcase basic MVPs to prove viability/value Strong stakeholder management and communication skills with employees at all levels

A global team, united by diversity and inclusion

At Verity, we know that diversity fosters innovation and stronger client relationships - ensuring that we bring a wide range of perspectives and solutions to every challenge.





Strong relationships are at the heart of our work, but they're also at the heart of our ethos as an employer.





As a company with offices around the world, we are proud of the range of cultures, skills, viewpoints and abilities that we bring to the service of our clients.





We are committed to creating a diverse and inclusive organisation in which our people feel a sense of belonging, regardless of their ethnicity, religion, age, physical abilities, sexual orientation or gender identity.





We also recognise that individual needs differ, and we are dedicated to providing accommodations for interviews, applications, and workplace adjustments to support people with disabilities, neurodivergence, or other specific requirements.





If you need any support, please don't hesitate to reach out to us.