Director, Data & AI

PwC

. Advise clients on important data and AI transformations .

Posted 9/15/2026full-timeBrisbane • AustraliaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Data & AI consulting engagements, focusing on strategy, architecture, and implementation for Energy and Mining sectors. Capable of translating complex data concepts into actionable business strategies while fostering trusted relationships with executives.

Highest-signal resume keywords

Data & AI StrategyGenerative AI SolutionsModern Data ArchitectureStakeholder ManagementBusiness Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine LearningAnalyticsData PipelinesAI GovernanceCloud EcosystemsData PlatformsIntegrationTechnical DirectionDelivery Oversight

Soft Skills

Executive CommunicationRelationship BuildingCoachingTeam LeadershipCommercial Mindset

Tools & Technologies

AzureAWSGCPDatabricksSnowflakeMicrosoft Fabric

Industry Keywords

Energy SectorMining SectorData & AI TransformationsConsulting Sales PursuitsBusiness Outcomes

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Advise clients on important data and AI transformations
Originate opportunities and lead teams delivering scalable, production-grade data and AI solutions for Energy and Mining clients
Build trusted relationships with key stakeholders and grow PwC’s Data & AI capability
Translate complex data concepts into business-friendly language for executives
Lead Data & AI consulting engagements from strategy and solution design through 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 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
Provide coaching, technical direction and delivery oversight
Lead business development by identifying opportunities, shaping propositions, leading pursuits and delivering proposals
Contribute to market presence through thought leadership, executive discussions, demonstrations and industry engagement

Requirements

What you’ll need

Significant experience developing and maintaining trusted relationships with executives in the Energy and Mining sectors
Track record identifying, shaping and converting consulting sales pursuits
Demonstrated ability to lead complex client engagements leveraging data and AI to deliver business outcomes
Broad technical awareness across Data & AI
Experience leading delivery of production-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 enterprise AI foundations
Practical knowledge of modern cloud and Data & AI ecosystems such as Azure, AWS or GCP
Experience with platforms such as Databricks, Snowflake, Microsoft Fabric or equivalent
Understanding of AI governance, Responsible AI, security and risk considerations
Experience leading large, multidisciplinary teams and developing technical capability
Strong executive communication and stakeholder-management skills
Commercial mindset, including experience shaping client opportunities, developing proposals and contributing to sales pursuits
Ability to connect technology decisions to business outcomes
No degree, field of study or certification requirements specified
Must be available without work visa sponsorship

Benefits

Comp & perks

Leadership development and coaching
Parental leave policy offering up to 26 weeks of leave for caregivers
Purpose-driven community and opportunity to deliver impact across clients and communities