Senior Manager, Data Analytics & Automation-AI Strategy Modernization at KPMG India

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Strategy, Advanced Analytics, Operating Model Design, AI Governance, Use Case Prioritization, Business Case Development, GenAI, Stakeholder Management, Responsible AI, Data Strategy, Storytelling, Business Acumen

Industry

Financial Services

Description

Overview At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference. KPMG’s Management Consulting practice helps organizations leverage change. The Data, Analytics and Automation team helps organizations unlock value from data and AI by enabling data-informed decision-making through strategy, governance, and operating model design in complex enterprise environments. We help organizations to become AI driven! Will you collaborate with us? Our Team As a Senior Manager in Data, Analytics and Automation, you will be part of our Technology Consulting practice within Consulting Firm. Our global network of professionals collaborates to design innovative, data-driven and AI-enabled solutions. We integrate across advisory domains including Business Intelligence, Advanced Analytics, Digital Transformation, and Enterprise Solutions to help organizations embed AI into their core business strategy. We collaborate across service offerings on AI driven solutions. The successful candidate will lead AI and advanced analytics strategy engagements, helping organizations identify, prioritize, and design AI-enabled opportunities. This role is focused on strategy, use case design, and operating model definition—not model development or implementation. You will work with business and technology leaders to shape how AI is adopted responsibly and effectively across the enterprise. What you will do Lead the development of AI and advanced analytics strategies and roadmaps Identify and prioritize AI use cases aligned to business value and strategic objectives Design AI operating models, including governance, roles, and delivery structures Define frameworks for responsible AI, including model risk management, ethics, and compliance Translate business challenges into AI-enabled solutions and high-level designs Develop business cases and value realization frameworks for AI initiatives Facilitate workshops to drive AI ideation, use case discovery, and prioritization Align AI strategy with underlying data capabilities and enterprise architecture Advise on adoption of emerging technologies (e.g., GenAI) at a strategic level Support executive stakeholders in understanding AI risks, opportunities, and investment decisions Collaborate with data strategy teams to ensure alignment between data and AI transformation Contribute to the development of AI advisory offerings and thought leadership Mentor team members in AI strategy, analytics translation, and business engagement What you bring to the role University degree in data science, computer science, business, or a related field 10+ years of experience in analytics, AI, or data-driven strategy roles, including 5-7 years of hands on consulting experience Proven experience in defining AI strategies, use cases, and operating models Strong understanding of AI/ML concepts and lifecycle (without requiring hands-on development) Experience with GenAI and emerging AI trends is strongly preferred Strong business acumen and ability to translate analytics into business value Experience engaging with senior stakeholders and executives Excellent communication and storytelling skills Experience in financial services or insurance is considered an asset Familiarity with AI governance, ethics, and regulatory considerations is an asset KPMG BC Region Pay Range Information The expected base salary range for this position is $131,000 to $179,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. Providing you with the support you need to be at your best Our Values, The KPMG Way Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. Adjustments and accommodations throughout the recruitment process At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778. AI Usage We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework. We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Responsibilities

Lead the development of AI and advanced analytics strategies, roadmaps, and operating models to help organizations become AI-driven. Translate business challenges into AI-enabled solutions and advise executive stakeholders on risks and investment decisions.