Omnis Partners
Director Data Science
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Global Data Science Director
Global Consumer Brand
Location - London, Hybrid
Compensation is as follows:
- £200,000 per annum
- 20% annual bonus
- Equity participation
Omnis has been exclusively retained to identify a Global Customer Data Science Leader for a globally recognised consumer brand.
Whilst operating at significant global scale, the organisation has retained a highly collaborative, ambitious and entrepreneurial culture, with strong executive sponsorship for data, analytics and AI transformation initiatives. The business combines exceptionally high standards with genuine partnership, bringing together outstanding operators, intellectually curious leaders and teams that are empowered to drive meaningful change.
The successful individual will lead a global practice of Data Science, Analytics and Engineering staff, with direct responsibility for two senior leaders, broader management and sub-teams. The expectation is that this capability continues to grow significantly over the coming years as further functions are brought in-house.
The remit spans two core pillars of Customer Data Science and Marketing Measurement, with a strategic programme already underway to insource capabilities currently delivered by specialist consultancies and external partners. Alongside this sits responsibility for the evolution of emerging capability areas including pricing science, customer value optimisation and the application of AI across customer decisioning and engagement.
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The role sits at the centre of a significant transformation agenda, with responsibility for shaping the future of customer intelligence and data science within the organisation. Over the next three years, key priorities include:
- Building graph-based customer intelligence capabilities
- Unlocking value from unstructured customer signals and feedback
- Supporting AI-powered recommendation and client engagement experiences
- Helping define the next-generation customer data and marketing technology ecosystem
Equally important will be establishing how Data Science, AI Engineering and MLOps functions operate together in an AI-enabled business, whilst defining the long-term operating model for Consumer Data Science as the organisation continues its transformation.
The wider business is investing heavily across customer platforms, semantic layers, data infrastructure and enterprise transformation programmes, requiring an individual who is equally comfortable discussing modelling approaches, technology architecture and commercial outcomes.
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Perhaps most compellingly, this is not an organisation looking to preserve the status quo. The leadership team is actively debating what future data science organisations should look like, how AI engineering and data science capabilities converge, and what skills will define success over the next decade.
Despite the scale of the business, there remains an unusual amount of white space, influence and opportunity to shape strategy, operating models and future investment decisions.
The successful individual will combine deep consumer data science expertise with exceptional communication skills, executive presence and the ability to influence senior stakeholders across regions, functions and disciplines.
For the right person, this represents an opportunity to shape not only the future of customer science within a globally recognised organisation, but also the role AI will play in defining the next generation of consumer experiences.
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