Lead, Applied Intelligence & Innovation

RecruiterPal; Singapore; On-site; SGD 180,000 - 250,000; Full time

Job summary

Mediacorp in Singapore is seeking a Lead, Applied Intelligence & Innovation to steer a multidisciplinary team focused on emerging Data & Intelligence capabilities that advance audience, content, advertising, streaming and consumer intelligence priorities.

Reporting to the Head - Data, Analytics and Insights, you will translate promising ideas into validated capabilities, guiding build, buy or partner options and ensuring responsible AI, privacy and governance from the outset.

Qualifications

• Degree in CS/DS/Engineering or related; postgraduate quals are a plus.
• Qualifications in data, AI, product, strategy or programme leadership are advantageous.

Responsibilities

• Identify, incubate, and validate data and AI capabilities aligned to Mediacorp priorities.
• Lead a multidisciplinary team across Data Science, Insights, and Technology to deliver value.
• Advise senior stakeholders and partner with business units on scale and adoption.
• Ensure governance, privacy and responsible AI considerations from the outset.

Skills

Data Science

Applied AI

Data Products

Strategy & Leadership

Stakeholder Management

Education

Bachelor’s Degree in CS/DS/Eng/Stats/Math

Postgraduate qualifications in data/AI/product/strategy

Job description

COMPANY DESCRIPTION

Mediacorp is Singapore’s largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

Purpose of the role

Reporting to the Head - Data, Analytics and Insights, the Lead, Applied Intelligence & Innovation leads a multidisciplinary team focused on identifying, incubating and validating emerging Data & Intelligence capabilities that advance Mediacorp's audience, content, advertising, streaming and consumer intelligence priorities.

The role challenges existing approaches, explores new methods, applications and new data capabilities, and works across Data Science, Data Product, Insights, Research, business units and Technology teams to translate promising ideas into validated capabilities and business value.

Scope of the role

• Shape the Applied Intelligence & Innovation agenda in support of Mediacorp's broader Data, Analytics & Insights strategy and business priorities.
• Lead a multidisciplinary team spanning Applied Intelligence & Innovation, Data Strategy & Commercialisation, and Business Enablement & Delivery Excellence.
• Incubate and validate new methods and data capabilities through disciplined experimentation, with clear evidence of business value and technical feasibility.
• Advise the Head on emerging Data & Intelligence capabilities, strategic opportunities and capability priorities, and partner with existing teams to transition proven capabilities for scale.

Key Responsibilities

APPLIED INTELLIGENCE & INNOVATION

• Identify and test emerging data science and AI methods that can improve audience growth, content performance, advertising effectiveness, streaming experiences and consumer intelligence.
• Challenge established approaches where new methods can materially improve outcomes, translating relevant market developments into focused experiments.
• Guide build, buy or partner considerations for emerging capabilities in collaboration with relevant business and Technology teams.

STRATEGY, VALUE & PARTNERSHIP

• Connect emerging Data & Intelligence capabilities to strategic priorities, partnerships and measurable business value.
• Guide value hypotheses and pathways to adoption or commercialisation across media, advertising, content and consumer use cases.

INCUBATION & SCALE

• Establish a disciplined Explore - Prototype - Validate - Transition approach with clear criteria for business value, technical feasibility and readiness to scale.
• Mobilise expertise across Data Science, Data Product, Insights, Research, business and Technology teams, transitioning proven capabilities to the appropriate teams for productisation and scale.
• Ensure data governance, responsible AI, privacy and security considerations are incorporated from the outset.

LEADERSHIP & OUTCOMES

• Lead and develop a multidisciplinary team with strong technical depth, commercial judgement and business-partnering capability.
• Define outcome-oriented measures including capability adoption, audience or commercial impact, and delivery effectiveness.
• Represent the function with senior stakeholders and external partners, translating complex Data & AI developments into clear business implications.

QUALIFICATIONS

• Bachelor's Degree in Computer Science, Data Science, Engineering, Statistics, Mathematics or a related discipline; postgraduate qualifications are advantageous.
• Relevant qualifications in data, AI, product, strategy or programme leadership are advantageous.

Experience

• Typically 12+ years of progressive experience across data science, applied AI, data products or advanced analytics, including leadership of multidisciplinary teams.
• Proven track record incubating new Data & Intelligence capabilities and translating them into measurable business outcomes.
• Experience partnering with senior business and technology leaders in complex, matrixed organisations.
• Experience in media, advertising, streaming, digital consumer, telco or other data-rich industries is strongly preferred.

Foundational Competencies

• Strategic and commercial judgement; connects Data & Intelligence investment to audience, content, advertising and business outcomes.
• Strong people leadership across multidisciplinary technical and business-facing teams.
• Curious and pragmatic innovation mindset, balancing experimentation with measurable value.
• Strong stakeholder influence and communication across business, product and technology teams.
• Outcome orientation and sound judgement in ambiguous, cross-functional environments.

Functional Competencies

• Strong technical depth in data science and applied AI, with the credibility to evaluate emerging methods and challenge established modelling approaches.
• Experience across relevant areas such as personalisation and recommendation, predictive modelling, GenAI, experimentation or decision intelligence.
• Strong understanding of data products, AI delivery lifecycles and modern data/AI platforms, without requiring ownership of production infrastructure.
• Commercial fluency and ability to shape business cases, partnerships and build/buy/partner decisions.
• Familiarity with media, advertising, content, streaming, audience measurement or consumer research is strongly preferred.
• Sound understanding of responsible AI, data privacy and governance principles.