Senior Manager, Data & AI

PwC

. Lead complex Data & AI consulting engagements from strategy and solution design through engineering, implementation and production deployment .

Posted 9/15/2026full-timePerth • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Data & AI consulting engagements, focusing on solution design, implementation, and production deployment. Proficient in developing scalable AI solutions and guiding multidisciplinary teams while ensuring alignment with business objectives and responsible AI practices.

Highest-signal resume keywords

Data & AI Solution DeliveryMLOps/LLMOps ImplementationModern Data ArchitectureCloud Platforms (Azure, AWS, GCP)Executive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine LearningGenerative AIData AnalyticsAI GovernanceData IntegrationData PipelinesEnterprise AI FoundationsTechnical LeadershipProduction Operations

Soft Skills

Stakeholder ManagementCommercial MindsetTeam LeadershipRelationship BuildingStrategic Advisory

Tools & Technologies

DatabricksSnowflakeMicrosoft FabricAPIsContainerisationCI/CDObservability

Industry Keywords

Data & AI StrategySolution ArchitectureClient EngagementBusiness DevelopmentThought Leadership

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead complex 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 Data & AI solutions across data engineering, modern data platforms, analytics, machine learning, Generative AI, agentic AI and enterprise integration
Provide technical leadership across solution architecture and engineering, ensuring scalable, secure and reliable enterprise solutions
Lead productionisation of AI solutions, including MLOps/LLMOps, evaluation, monitoring, governance and Responsible AI practices
Translate business challenges into Data & AI opportunities, roadmaps and measurable-value solutions
Lead multidisciplinary teams of architects, data engineers, AI engineers, data scientists and consultants
Build trusted relationships with senior client stakeholders and act as a recognised advisor on emerging Data & AI technologies
Support business development by identifying opportunities, shaping propositions, developing proposals and contributing to client pursuits
Evolve PwC’s Data & AI offerings, accelerators, methods and engineering capabilities
Contribute to market presence through thought leadership, executive discussions, demonstrations and industry engagement

Requirements

What you’ll need

Significant experience delivering Data & AI solutions, with strong experience in consulting or professional services and ability to lead complex client engagements
Strong technical depth across Data & AI
Experience designing and delivering 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
Experience with Azure, AWS or GCP, and platforms such as Databricks, Snowflake, Microsoft Fabric or equivalent
Understanding of MLOps/LLMOps, APIs, containerisation, CI/CD, observability, model evaluation and production operations
Understanding of AI governance, Responsible AI, security and enterprise AI risk considerations
Experience leading large, multidisciplinary teams and developing technical capability
Strong executive communication and stakeholder-management skills
Commercial mindset, including shaping client opportunities, developing proposals, contributing to sales pursuits and growing client relationships
Ability to connect technology decisions to business outcomes
Availability for work visa sponsorship: No

Benefits

Comp & perks

Leadership development and coaching designed to help you inspire teams and accelerate your career growth
Parental leave policy offering up to 26 weeks of leave for caregivers
Opportunity to work with leading teams and explore new technologies
Opportunity to contribute to work with impact reaching clients, communities, and the future you’re shaping