Manager, AI Transformation ANZ

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work, but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

This newly created position is accountable for the AI agenda across Lilly Australia’s commercial business. You will determine which AI solutions are developed, build many of them directly, and lead sales, marketing and analytics teams in adopting AI effectively as part of their everyday work.

The role combines strategic planning, hands-on development, implementation and coaching. At times you will be developing Python code and prompt chains to convert a complex analytical process into a working AI tool. At others, you will be working with a sales team to help them use that tool well and to critically assess its outputs. You will lead through influence and be accountable for accelerating commercial AI adoption across Australia and New Zealand.

Key responsibilities

AI strategy and roadmap

Develop and maintain a prioritised roadmap of AI solutions for the commercial business, aligned to global policy and strategy.

Act as the trusted adviser on where AI will and will not deliver value, and the rationale behind each position.

Track and report on both adoption and business impact.

Solution development

Design, build and test AI tools using Python, SQL and prompt engineering with enterprise AI models.

Lead the establishment of an AI-ready data foundation.

Integrate AI capability into the analytics environment the business already uses.

Evaluate and select external vendors where purchasing is preferable to building.

Replace ad hoc data requests with governed, standardised extracts built on agreed definitions.

Governance and risk management

Establish and own the local AI governance framework for commercial use cases.

Define how solutions are validated prior to release and monitored thereafter, including quality controls, early-warning indicators and rollback procedures.

Maintain the AI use-case register, providing a single view of how and where AI is applied across the commercial function.

Own the semantic layer, metric definitions and master-data rules, ensuring field teams, managers and AI tools operate from a single source of truth.

Adoption and capability building

Design and deliver training and coaching for field sales, managers, marketing and analytics colleagues, with the objective of building a self-sufficient field force.

Develop change and implementation plans for each rollout and lead associated communications.

Support affiliate-wide AI programmes and the internal advocate network.

Measures of success at 12 months

Several AI solutions are live and adopted, with users able to articulate the benefits to their work.

A working framework for developing, training and deploying AI solutions is in place and in active use across the business.

Global solutions are assessed on merit, with those that benefit local patients and customers implemented, and others declined with feedback provided.

The field force uses AI confidently and independently, without reliance on central analytics support.

Qualifications and experience

Essential

Demonstrated success deploying large-scale AI solutions within a large multinational organisation, including adoption and change management, not only technical delivery.

Full working rights in Australia.

8+ years’ experience in commercial analytics, insights, or AI enablement, transformation or governance.

Hands-on capability in Python, SQL and prompt engineering with enterprise language models.

Strong business intelligence and modern data platform skills.

Proven ability to build alignment with both commercial leaders and compliance stakeholders.

Experience training and coaching users at all levels, from field representatives to senior leaders.

A university degree.

Preferred

Pharmaceutical or life sciences experience (strongly preferred).

MBA or equivalent postgraduate qualification.

Experience with agentic AI tooling.

Experience with CRM systems and the data they generate.

Experience designing governance or validation frameworks for AI or analytics outputs.

Ideal candidate

You may be a commercial analyst who has become the organisation’s leading AI practitioner and is ready to own the agenda rather than support it. Alternatively, you may be a transformation leader with a technical background who is most effective when building the solutions you are asking others to adopt. If either describes you, we would welcome your application.

Occasional domestic and international travel is required.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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