Senior Change Management Expert

This is a temporary contractor opportunity at Novartis

Novartis touches the lives of a tenth of the world’s population. Every role here, regardless of contract type, makes an impact on human life!

Novartis partners with external managed service provider Magnit Global to offer engaging temporary contractor opportunities like this, to those who are looking for flexibility in their career while looking to gain new skills and experiences providing services to an inclusive global medicines company.  to learn more about Magnit.

Ready to work with/through Magnit at Novartis? Please read on…

The Senior Change Management Expert will lead the design and delivery of change management for priority AI initiatives across  , with a specific focus on:

• Supporting AI use cases and the   AI Strategy with structured, people‑centred change plans that focus on adoption, ways of working and trust in AI.
• Working alongside the D&D C&E team to embed change management principles into communications, engagement activities and leadership interactions.

The role will bring immediate, senior‑level change expertise and will build internal capability (including the C&E team and other partners) so that change practices can be sustained beyond the external engagement.

• Co‑create change objectives and outcomes for priority AI use cases and AI strategy work streams, aligned to   and D&D 2026 expectations.
• Design pragmatic change management strategies and plans using the company Change Navigator as the core framework, tailored to at least two flagship AI projects.
• Define measurable adoption and behaviour‑change indicators (e.g. usage, readiness, sentiment, AI tool uptake, participation in AI/data learning) and agree how they will be tracked with product/initiative owners.

• Map   and D&D stakeholders and identify change impacts for each group.
• Develop stakeholder engagement plans that complement C&E activities.
• Coach leaders and sponsors to clearly communicate the AI and Data Strategy case for change, expected benefits, and implications for teams, using consistent narratives in  ‑facing and internal channels.

• Work with   AI and Data Strategy teams to identify key process, role and capability changes required to implement AI use cases and AI‑ready data products (e.g. new uses of agents, AI‑ready data standards, domain data product responsibilities).
• Conduct practical change impact and readiness assessments with selected teams and document risks, readiness gaps and mitigation actions.
• Provide regular change‑risk insights into existing   governance forums (e.g. AI and Data Strategy governance, BRLT touchpoints) in partnership with C&E and initiative owners.

• Translate AI and data strategies into clear, audience‑specific narratives that explain “what this means for my work” and support behaviour change.
• Shape message maps and communication plans for key initiatives (AI Strategy 2028, Data Strategy roadmap, priority AI use cases), integrated into existing D&D and   channels and events.
• Support the capture and packaging of success stories and lessons learned (e.g. AI use cases, data‑product impact, adoption milestones) for use in  ‑wide storytelling.

• Work with   Learning, Data Strategy and AI Strategy teams to link change plans with ongoing AI and data learning initiatives.
• Design or co‑design targeted capability‑building workshops and clinics, including at least one dedicated session for the C&E team and close partners.
• Provide practical artifacts (FAQs, job aids, adoption checklists) that help teams embed new ways of working and link back to the change framework.

• Define adoption metrics for selected AI use cases and data products (e.g. tool usage, integration into workflows, participation in learning, feedback scores), in close collaboration with initiative owners.
• Monitor adoption and readiness signals and recommend targeted interventions (e.g. focused leader engagement, refreshed training, additional communication).
• Co‑design C&E’s measurement…