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

Calgary, Alberta, 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

Data Strategy, Data Governance, Enterprise Data Management, Data Modernization, Operating Model Design, Stakeholder Management, Data Architecture, Metadata Management, Data Quality, Master Data Management, Cloud Ecosystems, Data Product Strategy, Executive Communication, Transformation Planning, Regulatory Compliance, Mentoring

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 data driven! Will you collaborate with us? Our Team As a Senior Manager in Data, Analytics and Automation, you will be a part of our Technology Consulting (Data, Analytics and Automation) practice within KPMG. This is a worldwide network of professionals who collaborate on a daily basis to create value from data. Enterprise Data Management integrates and is the connecting link with other data focused advisory services including Business Intelligence, Advanced Analytics, Digital Transformation, Enterprise Solutions and Data Security. We collaborate across service offerings on data driven solutions. And that is why Forrester Research has recently recognized KPMG as one of the most prominent advisory firms in Data & Analytics! The successful candidate will lead data modernization strategy and transformation engagements, helping organizations define how data is governed, managed, and leveraged as a strategic asset. This role focuses on strategy, design, and advisory. You will work closely with executive stakeholders to define data visions, operating models, and governance frameworks that enable scalable and sustainable data capabilities. What you will do Lead the development of enterprise data strategies, roadmaps, and transformation plans Define and design data operating models (e.g., federated, domain-based, data product-oriented) Establish data governance frameworks, including ownership models, stewardship structures, and decision rights Design data management capabilities including metadata, lineage, data quality, and master data management Advise on data platform modernization (e.g., Databricks, cloud ecosystems) at a strategic and architectural level Facilitate executive workshops to align on data vision, priorities, and investment cases Define data product strategies and support domain-oriented data ownership models Ensure alignment between business objectives and data capabilities Provide thought leadership on regulatory and risk considerations (e.g., privacy, financial reporting, data controls) Lead stakeholder engagement and communicate complex data concepts to business and technical audiences Support the development of new data advisory offerings and go-to-market strategies Mentor and develop team members across data strategy, governance, and transformation What you bring to the role University degree in computer science, information management, business administration, or a related field 10+ years of experience in data strategy, data governance, or enterprise data management in a consulting role Proven experience leading data transformation or modernization initiatives Strong understanding of data governance frameworks, operating models, and data management practices Experience advising on modern data platforms (e.g., Databricks, Snowflake, cloud ecosystems) at a conceptual level Strong ability to engage and influence senior stakeholders and executives Excellent communication skills with the ability to translate complex data concepts into business value Experience in financial services or insurance is considered an asset Familiarity with regulatory environments (e.g., data privacy, financial reporting) is considered an asset DCAM or DAMA certification is considered an asset 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 data modernization strategy and transformation engagements to help organizations define how data is governed and managed as a strategic asset. Develop enterprise data strategies, operating models, and governance frameworks while advising on modern data platform architectures.