Senior Consultant, Data Analytics & Automation - Data Modernization

Toronto, ON
77.000-102.000 $ par an
Permanent
Temps-plein

Il y a 7 heures

Job Description:OverviewAt 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.We help organizations become data-driven. Will you collaborate with us?Our Team
As a Senior Consultant 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 doData Strategy & Architecture Support

Support the definition of enterprise data architecture vision and strategy aligned to business priorities

Contribute to current-state assessments of data architecture, platforms, governance, and operating models to identify gaps and opportunities

Assist in designing target-state data architectures and roadmaps, including modern data platforms (e.g., cloud, lakehouse, data fabric)

Translate business requirements into data and analytics solutions, ensuring alignment between functional needs and technical design

Data Transformation & Delivery

Contribute to the development of data transformation strategies and business cases, including value articulation and implementation considerations

Support the design and implementation of data governance frameworks (e.g., data ownership, stewardship, policies, and standards)

Assist in establishing core data management capabilities such as metadata management, data lineage, and master data management (MDM)

Support data quality initiatives, including defining quality rules, monitoring approaches, and remediation activities

Analytics & Data Enablement

Help enable trusted analytics and AI use cases by supporting the design of well-governed and accessible data architectures

Contribute to data product design, supporting reusable and domain-oriented data assets

Assist in advising on modern data platforms and tools (e.g., Databricks, Snowflake, Collibra), including architecture and governance considerations

Client Engagement & Collaboration

Participate in client workshops and working sessions to gather requirements and align on data priorities and use cases

Collaborate with cross-functional teams (business, technology, risk) to deliver integrated data solutions

Support the development of key deliverables such as data strategies, architecture diagrams, governance frameworks, and data glossaries

Contribute to ensuring alignment with regulatory, risk, and compliance requirements (e.g., data privacy, controls, reporting)

Practice Development

Contribute to internal knowledge development, methodologies, and thought leadership

Support proposal development, research, and client presentations as needed

What you bring to the role

Bachelor’s degree in Management Information Systems, Computer Science, Business Administration, Data Science, or a related field (MBA considered an asset)

3+ years of experience in data architecture, data management, data governance, or data strategy

2+ years of experience in consulting or advisory environments

Technical & Functional Capabilities

Understanding of enterprise data architecture concepts, including modern data platforms (cloud, lakehouse) and integration patterns

Working knowledge of data governance and data management frameworks (e.g., DAMA-DMBOK, DCAM)

Experience supporting data strategy, roadmap development, or operating model design initiatives

Familiarity with metadata management, data lineage, and master data management (MDM) concepts

Exposure to data quality management principles and tools

Tools & Technologies

Experience or exposure to modern data platforms and tools such as Azure, AWS, or GCP

Familiarity with tools such as Databricks, Snowflake, Collibra, Informatica, Atlan, or Attacama is an asset

Professional Skills

Strong analytical and problem-solving skills, with the ability to break down complex problems into actionable components

Effective communication skills, with the ability to translate between business and technical stakeholders

Experience supporting workshops, stakeholder interviews, and cross-functional collaboration

Ability to work in a fast-paced, team-oriented environment and manage multiple priorities

Additional Assets

Relevant certifications (e.g., CDMP, DCAM) are considered an asset

Experience in regulated industries such as financial services or insurance is a plus

Willingness to travel based on client and project needs

KPMG Ontario Region Pay Range InformationThe expected base salary range for this position is $77,000 to $102,000 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 bestOur Values, The KPMG WayIntegrity, 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 mattersKPMG 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 processAt 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 UsageWe 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.

KPMG

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