Principal Data & AI Consultant
Principal Data & AI Consultant
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Job Description
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:
- Craft solution visions that address complex business challenges in regulated sectors such as finance healthcare energy and government.
- Lead presales engagements workshops discovery sessions RFP/RFI responses 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$1 m 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.
Additional Information :
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.
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 carers leave and 4 weeks of secondary carers 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.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
