Data Risk Management, Associate

PwC; Ottawa; On-site; CAD 47,000 - 78,000; Full time

Job summary

PwC Canada is seeking a Data Risk Management Associate to help clients assess data readiness and strengthen data governance while supporting AI-enabled, data-driven transformations. You will work with engagement teams to deliver governance, quality, and reliability initiatives for large-scale programs.

The role involves mapping processes with stakeholders, translating requirements into technical specs, and contributing to risk and data management across multi-disciplinary engagements.

Qualifications

• Experience with data management, governance, quality, and IT controls.
• Ability to obtain Security Clearance.
• Certifications (e.g., CDMP, DCAM, CISSP, PMP, CRISC, CISM, CISA) are assets.

Responsibilities

• Help clients and engagement teams solve complex business problems, taking a proactive role in raising awareness of the firm's services and level of commitment to the local market, developing and maturing relationships with internal staff and clients, and supporting proposals to increase the practice's penetration in the public and private sector.
• Collaborate with business and technology stakeholders to map processes, gather and document requirements, and translate business needs into technical requirements and priorities.
• Assist with project management activities, including planning, tracking, and coordination.
• Research and apply emerging data and technology capabilities, including AI and automation, while considering associated data, governance, control and risk implications.
• Support, assess, and help deliver data governance and data management assessments for clients.
• Contribute to data, technology, and governance programs that improve decision-making.
• Support risk and data management activities for large-scale business and technology transformation initiatives.
• Translate complex data and technology concepts into clear, business-focused insights, recommendations, and decision-making materials.
• Work within cross functional, multi-disciplinary teams on complex engagements.
• Demonstrate strong ownership, collaboration, and a strong client service mindset.

Skills

Data Analytics

AI Fluency

Alteryx

Automation

Business Analysis

Data Governance

Agile Methodology

Communication

Education

Certifications (asset): CDMP, DCAM, CISSP, PMP, CRISC, CISM, CISA

Tools

Microsoft Azure

Power BI

Purview

Fabric

Informatica

Collibra

Databricks

SAP

Workday

Oracle

Job description

Job Description & Summary

Line of Service Advisory Industry/Sector Not Applicable Specialism Conduct and Compliance Management Level Associate Job Description & Summary A career with Risk Services will provide you with the opportunity to assist clients in developing analytics and technology-enabled solutions to solve complex business problems. Our team helps organizations and business leaders manage data-related risks and enhance data governance frameworks that enable better outcomes, leading to higher confidence in the information and data that support critical business decisions. As a Data Risk Management Associate, you will help clients assess data readiness, strengthen data governance and reporting capabilities, and build confidence in the quality, integrity and reliability of their data. You will support data-enabled solutions that prepare organizations for large-scale transformation and AI adoption while promoting trusted, accountable and sustainable use of data.

The Opportunity

As a Data Risk Management, Associate, unlock your potential and embrace the chance to drive meaningful outcomes that'll elevate your career. Your role will include, but isn't limited to:

What You'll Bring:

• Help clients and engagement teams solve complex business problems, taking a proactive role in raising awareness of the firm's services and level of commitment to the local market, developing and maturing relationships with internal staff and clients, and supporting proposals to increase the practice's penetration in the public and private sector.
• Collaborate with business and technology stakeholders to map processes, gather and document requirements, and translate business needs into technical requirements and priorities.
• Assist with project management activities, including planning, tracking, and coordination.
• Research and apply emerging data and technology capabilities, including AI and automation, while considering associated data, governance, control and risk implications.
• Support, assess, and help deliver data governance and data management assessments for clients.
• Contribute to data, technology, and governance programs that improve decision-making.
• Support risk and data management activities for large-scale business and technology transformation initiatives.
• Translate complex data and technology concepts into clear, business-focused insights, recommendations, and decision-making materials.
• Work within cross functional, multi-disciplinary teams on complex engagements.
• Demonstrate strong ownership, collaboration, and a strong client service mindset.

Experience with, or demonstrated understanding of, data management, data governance, data quality, business and IT controls, or related frameworks and methodologies. Ability to obtain Security Clearance. Prior to applying, please review the Government of Canada website to ensure you meet the eligibility requirements to obtain this clearance. This'll become a condition of your employment with PwC should you receive an offer from us. Demonstrated ability to leverage generative AI and AI-enabled tools to enhance research, analysis, problem-solving, and productivity. Relevant certifications (e.g., CDMP, DCAM, CISSP, PMP, CRISC, CISM, CISA) are an asset. Experience with data, analytics or cloud platforms (e.g., Microsoft Azure, Power BI, Purview, Fabric, Informatica, Collibra, Databricks) or ERP solutions (e.g., SAP, Workday, Oracle) is an asset.

The salary range for this position is $46,600 - $77,600. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why You'll love PwC

We're inspiring and empowering our people to change the world. Powered by the latest technology, you'll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life.

Education

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 32 more} Desired Languages (If blank, desired languages not specified)

Travel Requirements

Travel Requirements Up to 20% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date October 15, 2026

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être pleinement à l’aise, faites-le nous savoir à l’étape de la demande d’emploi. L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection des renseignements confidentiels (https://www.pwc.com/fr/privacy-policy.html).