Principal Manager, Data Capability Planning, Change and Adoption [DSAD]

Skills and Workforce Development Agency; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

The Skills and Workforce Development Agency seeks a leader for Data & AI adoption, reporting to the Deputy Director (Data Strategy and Capabilities Building). The role translates strategy into tangible adoption outcomes by embedding Data & AI into daily work.

Responsibilities include organisation-wide capability planning, designing adoption approaches, tracking outcomes, and engaging senior stakeholders to drive ownership and sustained participation.

Qualifications

• At least 6–8 years of experience in programme management, transformation, data or digital roles.
• Able to operate across technical and non-technical contexts.
• Understanding of enterprise Data & AI considerations, including governance and infrastructure.
• Strong planning, synthesis and stakeholder coordination skills.
• Comfortable operating across strategy and execution in a complex organisation.

Responsibilities

• Lead organization-wide Data & AI capability planning and adoption efforts aligned to enterprise priorities.
• Translate strategy into adoption approaches that drive usage and behavior change.
• Identify barriers to adoption and implement targeted interventions to improve uptake.
• Track adoption outcomes and refine approaches based on results.
• Develop clear adoption propositions for different stakeholder groups.
• Oversee a portfolio of capability and adoption initiatives and coordinate across cross-functional teams.
• Engage senior stakeholders to drive ownership, prioritisation, and sustained participation.
• Support transition of initiatives from exploration into operational use.
• Provide planning and coordination across capability and adoption workstreams.

Skills

Programme management

Transformation

Data

Digital

Stakeholder coordination

Planning

Execution

Job description

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This role reports to the Deputy Director (Data Strategy and Capabilities Building) and leads organization-wide Data & AI capability planning, with a strong focus on driving adoption and sustained use across the organization. The role is accountable for translating Data & AI strategy into tangible adoption outcomes, by designing and executing approaches that embed Data & AI into day-to-day work.

Responsibilities

Adoption Strategy & Delivery

• Lead organization-wide Data & AI capability planning and adoption efforts aligned to enterprise priorities


• Translate strategy into clear adoption approaches that drive usage and behavioral change


• Identify barriers to adoption and implement targeted interventions (e.g. pilots, campaigns, initiatives) to improve uptake


• Track adoption outcomes (e.g. participation, usage, impact) and refine approaches based on results

Adoption Design

• Develop clear and compelling adoption propositions for different stakeholder groups, articulating relevance and value


• Design approaches that build momentum and participation (e.g. champions networks, communities of practice, targeted engagement efforts)


• Shape how Data & AI is positioned and communicated across the organization to drive understanding and interest

Portfolio & Stakeholder Management

• Oversee a portfolio of capability and adoption initiatives, ensuring alignment and scalability across the organization


• Work across technical, strategy, and programme teams to bridge capability development and actual adoption outcomes


• Engage senior stakeholders to drive ownership, prioritisation, and sustained participation


• Support transition of initiatives from exploration into operational use

Planning & Reporting

• Provide planning and coordination across capability and adoption workstreams


• Track progress, risks, dependencies, and adoption outcomes for management reporting


• Support prioritisation and resource alignment across initiatives

Requirements

• At least 6–8 years of relevant experience in programme management, transformation, data or digital roles


• Strong ability to operate across technical and non‑technical contexts


• Good understanding of enterprise Data & AI considerations, including governance and infrastructure


• Strong planning, synthesis and stakeholder coordination skills


• Comfortable operating across strategy and execution in a complex organisational environment

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

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