Date:
18 Aug 2026
Location:
Melbourne, VIC, AU
Department:
Strategy, Risk & Transactions
Description:
Job Requisition ID: 41756
Manager, AI & Analytics Engineer — Performance Improvement
Build and productionise AI-powered analytics assets used on live client engagements
Lead the build-out of our Databricks platform — pipelines, Delta tables and reusable accelerators
Drive adoption of AI and analytics across our performance improvement teams
Do you have expertise in AI and data engineering, and an interest in performance improvement?
At Deloitte we are building and scaling a suite of AI-powered analytics products that help clients understand cost, workforce, operational and program performance — and then act on it. You'll design, build and productionise AI and analytics assets, stand up the Databricks platform underneath them, and get them adopted by client teams.
What will your typical day look like?
As a hands-on technical lead, you'll provide expertise and thought leadership to:
Build: Design and implement AI assets for performance improvement workflows — extracting and validating insights from structured and unstructured data, and generating client-ready outputs.
Orchestrate: Develop agentic pipelines combining structured extraction, RAG, validation and reasoning, with citations, confidence scoring and a human in the loop.
Engineer the platform: Build and scale our Databricks environment — ingestion pipelines, Delta Lake tables, layered data models, workflows and Unity Catalog governance — so assets run on trusted, reusable foundations.
Evaluate & safeguard: Create test sets, scoring harnesses, data quality checks and regression suites so prompts, models and pipelines stay robust across engagements.
Serve & observe: Build deployable services with CI/CD, tracing, accuracy/latency monitoring and prompt/version management across dev/test/prod on Azure.
Drive adoption: Partner with Partners, Directors and engagement teams to embed AI and analytics into live client work, then coach practitioners to use it confidently. Adoption is the measure of success, not the demo.
Productise: Turn what works on one engagement into a documented, supportable accelerator for the next.
Lead: Mentor junior engineers and analysts, and lift the standard of engineering and data practice across the team.
About the team
You'll join Deloitte's Performance Improvement team within Performance Improvement & Restructuring, part of the Strategy, Risk & Transactions business unit. We help public and private sector clients navigate cost pressure, operational complexity, funding constraints and major transformation agendas.
Our Technology & Analytics capability brings together data analytics, data engineering, software development, platform engineering and AI-enabled delivery, building client-facing applications and analytics assets on Azure, Databricks, SQL, React and TypeScript. The team is small, collaborative and commercially focused — what you build gets used, quickly, in front of clients. You'll report to the Director, Performance Improvement Technology & Analytics.
Enough about us, let's talk about you.
We're looking for an ambitious AI and analytics engineer who wants to build production-ready solutions and see them adopted. You may have all or some of the following:
Around 5+ years' experience across AI/machine learning engineering, data engineering, analytics engineering or software engineering
A degree in Data Science, Computer Science, Engineering or a related field is preferred
Expert Python, including data science/AI libraries, with applied experience moving AI or analytics use cases into production in an enterprise environment
Practical experience with generative AI techniques — prompt engineering, RAG, document extraction, agentic orchestration, evaluation and guardrails
Hands-on experience with modern data platforms, ideally Databricks — Delta Lake, Spark, notebooks, workflows, Unity Catalog and pipeline orchestration
Strong SQL and data modelling fundamentals across cloud-based SQL and NoSQL technologies
Modern MLOps/DevOps practice to deploy and operate at scale on Azure (preferred), AWS or GCP — Git, CI/CD, testing, containerisation, monitoring
Software engineering foundations (production APIs, FastAPI preferred) and familiarity with frontend development (React) would be advantageous but are not essential
Ability to translate an ambiguous business problem into a well-scoped technical solution, and explain the trade-offs to a non-technical audience
Excellent interpersonal skills, a collaborative mindset, and a strong ethical grounding in data usage and AI implementation
Join Deloitte's Performance Improvement Technology & Analytics team and help shape how AI and analytics deliver real, measurable value to our clients.
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction — whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.
