PwC
Data & AI | Director
Australia · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationAustralia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Analytics
Management Level
Director
Job Description & Summary
As a Director within PwC Australia’s Data & AI practice, you will help clients shape and deliver their most important data and AI transformations.
You will combine strong consulting and client engagement experience with technical understanding to advise senior stakeholders, shape solutions and lead multidisciplinary teams across data, analytics and AI solutions. You will work primarily in with clients in the Energy and Mining sectors to originate opportunities and lead teams to design and deliver scalable, production-grade data and AI-led solutions supporting tangible business outcomes.
You will also play an important role in growing PwC’s Data & AI capability – nurturing a network of relationships, developing our people, shaping market offerings, contributing to business development and building trusted relationships with our clients.
Show full description
Why PwC?
At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health, giving you the chance to makeareal impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential.
Join a global community ofmore than370,000 peoplewhovalue bold ideas, collaboration, and lastingchange. Together, we’re building trust and shaping the future.
What you’ll do:
Buildyour brand in the market and maintain strongtrustedrelationships withkeystakeholders.
Understand client needs and translatecomplex data concepts into business-friendly languagefor executives.
Lead complex Data & AI consulting engagements from strategy and solution design through to engineering, implementation and production deployment.
Advise senior technology and business leaders on Data & AI strategy, architecture, platforms, operating models and technology choices.
Shape end-to-end Data & AI solutions spanning data engineering, modern data platforms, analytics, machine learning, Generative AI, agentic AI and enterprise integration.
Lead multidisciplinary teams of architects, data engineers, AI engineers, data scientists and consultants, providing coaching, technical direction and delivery oversight.
Leadbusiness development by identifying opportunities, shaping propositions,leading pursuits anddeliveringproposals.
Contribute to PwC’s market presence through thought leadership, executive discussions, demonstrations and industry engagement.
What we’re looking for(not allcategoriesarenecessaryinone individual):
Significant experiencedeveloping andmaintainingtrusted relationshipswith executives in the Energy and Mining sectors.
Track record ofidentifying, shaping and converting consulting sales pursuitsand a demonstrated ability to lead complex client engagementsleveraging data and AI to deliver business outcomes.
Broadtechnicalawarenessacross Data & AI, with the ability to confidently guide and challenge architects, engineers and data scientists on solution design and implementation.
Experiencein leading thedelivery ofproduction-grade AI and machine learning solutions, including Generative AI and emerging agentic AI patterns.
Strong understanding of modern data architecture and engineering, including data platforms, integration, data pipelines, analytics and the foundations required to support enterprise AI.
Practical knowledge ofmodern cloud and Data & AI technology ecosystems such as Azure, AWS or GCP, and platforms such as Databricks, Snowflake, Microsoft Fabric or equivalent.
Understanding of AI governance, Responsible AI, security and risk considerations associated with deploying AI within enterprise environments.
Experience leading large, multidisciplinary teams and developing technical capability within high-performing consulting or engineering environments.
Strong executive communication and stakeholder-management skills, with the ability to explain complex technical concepts in clear business language.
A commercial mindset, including experience shaping client opportunities, developing proposals, contributing to sales pursuits and growing trusted client relationships.
Ability to connect technology decisions to business outcomes, helping clients move from experimentation to scalable, sustainable Data & AI adoption.
What you’ll gain:
Leadership development and coaching designed to help you inspire teams and accelerate your career growth.
A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.
Being part of a community united by purpose, delivering impact that reaches clients, communities, and the future you’re shaping.
Ready to grow here and go further?Apply now and take your next step with a team shaping the future.
We’re committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role.
No Agencies Please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications direct from individuals.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 29 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
October 31, 2026
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At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
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Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.