jobs in Mediacorp Pte Ltd

全职 Principal, Data - Commercialisation Strategy 工作, 薪水, Mediacorp Pte Ltd 公司招聘中 - Ricebowl

Principal, Data - Commercialisation Strategy

Mediacorp Pte Ltd

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

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.

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