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

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data governance, Data strategy, Data management, Data quality frameworks, Operating model design, Business intelligence, Stakeholder management, Consulting, Metadata management, Master data management, Regulatory compliance, Data product strategy, Databricks, Snowflake, Collibra, Informatica

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. At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world. Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service? We help organizations become data-driven. Will you collaborate with us? Our Team As a 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! What you will do Define and deliver enterprise data strategies, roadmaps, and operating models aligned to business priorities Lead current-state assessments of data capabilities, maturity, governance, and organizational readiness Design and implement data transformation plans and business cases to enable data-driven organizations Facilitate stakeholder workshops to align on data vision, priorities, use cases, and adoption Translate business needs into data-driven initiatives and actionable recommendations Design and establish data governance frameworks, including ownership, stewardship, decision rights, and policies Develop data management capabilities such as metadata, lineage, master data management, and critical data elements (CDEs) Lead data quality assessment and remediation, including defining quality dimensions, controls, and monitoring frameworks Support regulatory, risk, and compliance alignment (e.g., privacy, financial reporting, data controls) Enable trusted analytics through well-governed data, standardized processes, and aligned governance structures Advise on the strategic adoption and governance of modern data platforms (e.g., Databricks, Snowflake, Collibra) Define and support data product strategies and domain-based ownership models Plan and execute advisory engagements, including strategy development, governance design, business process analysis, and future-state definition Develop governance and strategy artifacts such as data glossaries, data quality frameworks, and control models Apply technical and industry expertise to solve complex client challenges Contribute to business development through thought leadership, proposal development, and client presentations What you bring to the role A completed MBA or Bachelor’s degree in Management Information Systems, Computer Science, Business Administration or Data Science 5+ years of experience in data governance, data management or data strategy. 5+ years of experience in a consulting environment. Strong knowledge of data governance frameworks and data management best practices (e.g., DAMA-DMBOK, DCAM) Strong experience in data strategy, roadmap development, and operating model design Ability to translate business strategy into data-enabled transformation initiatives Experience designing data quality frameworks and governance operating models A completed industry-recognized certification (CDMP or DCAM) Strong understanding of regulatory and risk considerations (especially in financial services or insurance) Excellent communication skills with the ability to engage business and technical stakeholders Experience with data governance tools (e.g., Collibra, Informatica, Atlan, Attacama) considered an asset Collaborative mindset with interest in building and scaling governance capabilities Willingness to travel locally and internationally based on client and project needs KPMG Ontario Region Pay Range Information The expected base salary range for this position is $103,000 to $135,000 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

The manager will define and deliver enterprise data strategies, roadmaps, and governance frameworks to enable data-driven organizations. They will also lead advisory engagements, facilitate stakeholder workshops, and contribute to business development through thought leadership.