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AI Product Manager - Senior Manager

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Job Description - AI Product Manager - Senior Manager

Industry/Sector

Not Applicable

Specialism

Oracle

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Essential Skills  

 

AI-Driven Innovation: Demonstrated experience leading AI adoption initiatives — from ideation through scaled deployment of reimagined business workflows  

 

Strategic Digital Transformation Leadership: Strong functional knowledge across digital core platforms with hands-on RICEA and Fit/Gap analysis experience.  

 

Product Management Leadership: Proven track record managing product backlogs, defining requirements, and delivering iterative releases that showcase clear business value.  

 

Value Realization: Skilled in KPI definition, ROI modeling, and benefit estimation frameworks that tie AI initiatives directly to business performance.  

 

Cross-Functional Collaboration: Ability to coordinate across business, engineering, and design teams to ensure seamless execution and adoption of AI-enabled workflows.  

 

Communication & Stakeholder Engagement: Excellent written and verbal communication skills for leading demos, driving stakeholder alignment, and supporting go-to-market efforts.  

Key Responsibilities  

 

Serve as Product Manager for AI transformation initiatives, owning product documentation, backlog prioritization, and roadmap execution.  

 

Lead current-state discovery and opportunity identification sessions to define AI transformation use cases and design future-state process blueprints.  

 

Conduct detailed Fit/Gap (RICEA) analyses to identify high-value AI automation opportunities and prioritize development.  

 

Manage the AI agent pipeline from design to prototype to deployment, ensuring quality, integration readiness, and user adoption.  

 

Oversee KPI tracking, ROI modeling, and value realization to validate performance improvements and business impact.  

 

Coordinate the build, test, and deploy cycles for AI-enabled workflows in collaboration with functional and technical delivery teams.  

 

Drive cross-functional collaboration across PwC, client, and alliance teams to ensure alignment on design, delivery, and scaling of AI-first workflows.  

 

Support go-to-market and client engagement activities, including demos, workshops, and proposal development.  

 

Maintain and evolve the Agent Powered Performance offering toolkit, ensuring it remains aligned with emerging digital core and AI capabilities.  

 

Contribute to internal capability building, innovation accelerators, and thought leadership around AI-driven digital transformation.  

 

Professional and Educational Background  

 

MBA or equivalent post-graduate degree from a Tier-1 business school, with a strong academic foundation in digital strategy, technology management, or business operations.  

 

12+ years of experience in management or technology consulting, with proven success leading digital and AI transformation programs for global enterprises.  

 

Deep understanding of digital core ecosystems (e.g., Oracle, SAP, Workday) and demonstrated experience driving AI-enabled business transformation, workflow redesign, and operational efficiency.  

 

Experience working with senior stakeholders and executive sponsors, with a track record of influencing C-suite decision-making and guiding large-scale enterprise change.  

 

Demonstrated leadership in cross-functional teams, including product managers, solution architects, data scientists, and engineers, with the ability to drive collaboration and innovation across global teams  

 

Travel Requirements

Not Specified

Job Posting End Date

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