Principal Data

Overview

As a Principal Data & AI Consultant you will sit at the sharp end of our go-to-market motion, partnering with sales and delivery leaders to shape winning proposals and trusted client relationships. You will use your broad expertise across data engineering, analytics, data science, ML/AI, optimisation, simulation, warehousing and business intelligence to address complex business challenges and help clients unlock the full value of their data assets.

Responsibilities

• Craft solution visions that address complex business challenges in regulated sectors such as finance, healthcare, energy and government.
• Lead presales engagements – workshops, discovery sessions, RFPs/RFIs, business cases and architecture deep-dives.
• Design demonstrators and PoCs that showcase the art of the possible and accelerate buying confidence.
• Translate scope into delivery-ready programmes, ensuring a seamless hand-over to our engineering and consulting teams.
• Champion best practice and responsible AI, embedding security, privacy, governance and ethical considerations from day one.
• Mentor consultants and engineers, elevating capability across the region and contributing to global communities of practice.

Qualifications

Essential Skills:

• 12+ years in data & AI, with at least 5 in a client-facing consulting or presales capacity.
• Demonstrable track record shaping >A$1m data/AI deals end-to-end – from opportunity qualification through to contract signature.
• Deep hands-on knowledge of modern data platforms (Azure, AWS, GCP, Databricks, Snowflake), migration patterns and AI/ML tooling (SageMaker, Vertex AI, Azure ML, LangChain).
• Proven leadership across full data lifecycle – ingestion, modelling, governance, analytics, machine learning & MLOps.
• Excellent storytelling and workshop-facilitation skills; able to simplify complex concepts for C-suite and technical teams alike.

Desirable Skills:

• Thought-leadership credentials (conference speaking, whitepapers, patents).
• Familiarity with Australian regulatory frameworks (e.g. CPS 230, APRA CPG 235, My Health Record).
• Certifications such as Azure/Data & AI Architect, AWS ML Specialty, Google Professional Data Engineer.
• Experience designing agent-based or generative-AI solutions.
• Exposure to mine-to-market, utilities or public-sector modernisation programmes.

Why Endava?

Alongside a competitive salary package, share plan and performance bonuses, you will enjoy:

• Flexible, hybrid working – 20 "work from anywhere" days per year on top of our hybrid policy.
• Global career pathways and non-linear progression; move between domains, disciplines or geographies.
• Continuous learning via certifications, internal academies, tech communities and funded conferences.
• Well-being & lifestyle allowance, loyalty leave, inclusive parental leave and employee assistance programmes.
• A vibrant, inclusive culture where diverse perspectives power innovation.

Ready to drive AI-powered transformation?

Apply today with your CV and a short cover note outlining a data-led solution you are proud to have shaped. We look forward to exploring how your expertise can help our clients turn bold ideas into real-world impact.

Endava is an equal-opportunity employer. We value the differences that make us stronger and commit to transparent, merit-based hiring. If you need adjustments or support during the recruitment process, please let us know.

Additional Local Benefits

• Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
• Novated Leasing: Pre-tax car leasing benefit for new and used cars.
• Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
• Inclusive Parental Leave Policy: 12 weeks of primary carer's leave and 4 weeks of secondary carer's leave.
• Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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