全职 Principal, Business Strategy - Execution 工作, 薪水, Mediacorp Pte Ltd 公司招聘中 - Ricebowl

Responsibilities

Purpose of the role

Working within Applied Intelligence & Innovation, the role strengthens how emerging and existing Data & Intelligence capabilities are translated into business decisions, coordinated initiatives and adoption. It combines structured problem-solving, business enablement and hands-on strategy execution to support the team's innovation-to-value agenda.

Scope of the role

Structure ambiguous business problems and Data & Intelligence opportunities into clear recommendations, actionable plans and executive decision materials.

Enable business teams to understand and adopt Data & Intelligence capabilities through clear propositions and engagement practices.

Drive planning and execution coordination for assigned cross-functional Data & Intelligence initiatives, with clear owners, milestones and dependencies.

Improve practical delivery and operating rhythms, including responsible use of AI-enabled tools.

Key Responsibilities

BUSINESS ENGAGEMENT & ENABLEMENT

• Translate business needs into well-defined Data & Intelligence opportunities, working with the relevant capability owners within the department.
• Package Data & Intelligence products and solutions into accessible propositions and reusable engagement playbooks.
  
  

STRATEGIC PLANNING & DECISION SUPPORT

• Structure complex Data & Intelligence priorities into strategic choices, recommendations and executive decision materials.
• Shape planning discussions around decisions, trade-offs, owners and follow-through rather than reporting alone.
  
  

CROSS-FUNCTIONAL EXECUTION

• Drive execution coordination for assigned Data & Intelligence initiatives, aligning workplans, milestones, dependencies and decisions with accountable delivery teams.
• Surface delivery risks early, facilitate resolution of trade-offs and support handover and adoption with business and product owners.
  
  

OPERATING EFFECTIVENESS

• Develop lightweight business-engagement and agile delivery practices that improve execution across team initiatives.
• Apply modern AI tools responsibly to improve synthesis, planning, communication and routine workflows.
  
  

Foundational Competencies

• Strong business-partnering mindset and credibility with technical and non-technical stakeholders.
• Structured problem solver who can turn ambiguity into clear narratives, decisions and actions.
• Clear, concise communicator with strong judgement and follow-through.
• Collaborative and comfortable influencing across matrixed teams without formal authority.
• Pragmatic, outcome-oriented and committed to continuous improvement.
  
  

Functional Competencies

• Strong expertise in strategy execution, business enablement and complex cross-functional programme delivery, particularly in data, digital or technology environments.
• Strong executive storylining and communication skills, producing decision-ready materials rather than reporting alone.
• Experience establishing practical engagement playbooks, agile/hybrid delivery practices and operating rhythms for Data & Intelligence initiatives.
• Ability to manage dependencies, risks and stakeholder alignment across multidisciplinary teams.
• Working knowledge of Data & Intelligence, digital products and AI-enabled delivery environments.
• Practical experience using AI tools to improve synthesis, planning and workflow productivity is advantageous.
  
  

Experience

• Typically 8+ years of relevant experience in strategy execution, management or technology consulting, digital transformation, product operations or complex programme delivery
• Proven experience translating complex business problems into executive-ready recommendations and coordinated action
• Demonstrated success driving cross-functional initiatives through delivery and adoption, working with accountable business and technical owners
• Experience in data, analytics, AI or digital-product environments is strongly preferred.
  
  

Qualifications

• Bachelor's Degree in Business, Engineering, Computer Science, Economics or a related discipline; postgraduate qualifications are advantageous
• Relevant programme, project, agile or product-management certifications are advantageous.