SAP Data Management Lead Manager

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Senior Manager

Job Description & Summary

Are you a technology leader who understands the language of business? Do you have a passion for solving complex data challenges, shaping enterprise data strategies, and leading organizations through large-scale SAP S/4HANA transformations?

We are looking for an experienced SAP S/4HANA Data Management Manager to lead data strategy, governance, migration, and delivery across complex transformation programs. You will work closely with business and Information Systems (IS) leaders to establish the data vision, facilitate key decisions, and ensure that high-quality master and transactional data is successfully migrated to SAP S/4HANA.

The Opportunity

As a SAP Data Management Lead Manager, 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:

• Lead the data management and migration workstream throughout the complete SAP S/4HANA program lifecycle, from strategy and planning through deployment, go-live, and stabilization.

• Facilitate executive discussions and cross-functional workshops to define the data vision, guiding principles, governance model, scope, and roadmap.

• Lead data discovery, scoping, profiling, cleansing, transformation, mapping, validation, reconciliation, and load activities.

• Facilitate detailed data-mapping workshops with business process owners, data owners, functional teams, technical teams, and source-system specialists.

• Establish the end-to-end data migration strategy, including migration architecture, tools, environments, mock-conversion cycles, cutover, validation, and reconciliation.

• Define the scope and treatment of master, reference, historical, open transactional, and organizational data from multiple source systems.

• Establish data governance, ownership, stewardship, quality standards, business rules, controls, metrics, and decision-making forums.

• Lead and coordinate business, functional, technical, and data teams, ensuring alignment across business functions.

• Manage the data workstream plan, resources, budget, dependencies, risks, issues, decisions, deliverables, and status reporting.

• Drive data readiness by holding business data owners accountable for cleansing, enrichment, mapping, validation, and approval activities.

• Oversee mock conversions and production migration, ensuring defects are resolved and data meets agreed quality and reconciliation thresholds.

• Design and oversee data validation, reconciliation, verification, and business sign-off processes.

• Work closely with program leadership and functional, integration, testing, security, reporting, and change-management workstreams.

• Lead, coach, and develop consultants while promoting collaboration, accountability, innovation, and delivery excellence.

What You'll Bring

Your skills, knowledge, and experiences are what set you apart.Here'swhat we look for:

• Bachelor’s or master’s degree in business, information technology, engineering, information systems, data management, or a related discipline.

• More than 10 years of experience in SAP data management, data migration, governance, or transformation, including leadership roles on large SAP programs.

• Proven experience leading the data workstream for at least three end-to-end SAP implementations, preferably involving SAP S/4HANA.

• Demonstrated ability to lead strategic discussions with senior business and IS stakeholders and translate business objectives into an executable data strategy.

• Extensive experience planning and facilitating data strategy, governance, scoping, mapping, cleansing, validation, and reconciliation workshops.

• Strong knowledge of master and transactional data across finance, procurement, sales, manufacturing, supply chain, and related business areas.

• Experience with SAP data solutions such as SAP S/4HANA Migration Cockpit, SAP Data Services, SAP Landscape Transformation Replication Server, SAP HANA, SAP Integration Suite/CPI-DS, SAP Data Intelligence, and SAP Master Data Governance.

• Knowledge of ETL processes, data profiling and transformation, SQL, Python, and related data-management technologies.

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $168,000 - $218,000. 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.

Whyyou’lllove 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. Learn more about our Application Process and Total Rewards Package at:

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Application Software, Business Model Development, Business Process Modeling, Business Systems, Coaching and Feedback, Communication, Creativity, Developing Training Materials, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Innovative Design, Intellectual Curiosity {+ 26 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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 (

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 parfaitement 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 de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (