Responsibilities
Purpose of the role
Working within the Applied Intelligence & Innovation team, the role identifies and validates commercial opportunities arising from emerging and existing Data & Intelligence capabilities, translating promising ideas into practical business propositions and pathways to adoption.
Scope of the role
- Lead assessment of selected Data & Intelligence opportunities, from opportunity framing and value case through validation and recommended next steps.
- Develop commercial propositions and build, buy or partner recommendations with the Applied Intelligence Lead and relevant business owners.
- Support validation and handover of promising propositions to accountable business, product or technology teams.
Key Responsibilities
OPPORTUNITY & PORTFOLIO STRATEGY
- Lead the assessment of opportunities arising from CIA audience, content, advertising, streaming and consumer intelligence capabilities.
- Develop evidence-based value cases, test commercial assumptions and recommend priorities based on potential impact and feasibility.
- Recommend opportunity priorities and capability pathways to the Applied Intelligence Lead and relevant decision-makers.
COMMERCIALISATION & PARTNERSHIPS
- Develop and validate pathways to adoption, monetisation or partnership for promising Data & Intelligence capabilities, including build, buy or partner options.
- Work with Commercial, Content, Insights, Research and Technology to refine propositions, test partner interest and prepare practical handovers to delivery owners.
MARKET & STRATEGIC INSIGHT
- Monitor relevant developments across media, advertising, consumer data, measurement and applied AI, translating external signals into practical recommendations.
- Translate relevant market developments into differentiated CIA Data & Intelligence propositions and partnership hypotheses.
STAKEHOLDER COMMUNICATION
- Translate complex Data & Intelligence topics into concise business cases, recommendations and executive ready narratives.
- Challenge assumptions and influence stakeholders through clear evidence, commercial trade-offs and actionable recommendations.
Foundational Competencies
- Strategic thinker with strong commercial judgement and structured problem-solving skills.
- Excellent written and verbal communication; able to simplify complex data and AI topics for senior stakeholders.
- Strong stakeholder influence and collaboration across technical, commercial and content teams.
- Comfortable with ambiguity and able to turn broad opportunities into clear choices and actions.
- Curious, pragmatic and outcome-oriented.
- Strong expertise in data/commercial strategy, opportunity assessment, value cases and commercial proposition development and validation.
Functional Competencies
- Experience identifying and validating business opportunities arising from data, analytics, AI or digital capabilities.
- Ability to assess partnership models, market demand and build, buy or partner options for Data & Intelligence capabilities.
- Working knowledge of data and AI capabilities and the media, advertising or digital consumer ecosystem.
- Strong stakeholder influence and ability to communicate commercial recommendations clearly.
- Hands-on data science or modelling experience is advantageous.
- Working knowledge of data privacy, responsible AI and governance principles.
Experience
- Typically 8+ years of relevant experience in strategy consulting, commercial/data strategy, partnerships or a related field.
- Proven experience developing commercial propositions, validating market opportunities or assessing strategic partnerships.
- Experience working with senior technical and commercial stakeholders in matrixed organisations.
- Experience in media, adtech, streaming, digital consumer or other data-rich industries is advantageous.
Qualifications
Bachelor's Degree in Business, Economics, Engineering, Computer Science, Data Science or a related discipline; postgraduate qualifications are advantageous.