Director, Data Enablement

Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Director Job Description & Summary At PwC, our people in Data Enablement consulting help organizations unlock value from their data through strategy, governance, analytics, cloud modernization, and AI transformation. We work with clients to establish trusted data foundations, modernize platforms, and enable data-driven decision-making that delivers measurable business outcomes. A career within Consulting services provides the opportunity to help clients transform their businesses through data, analytics, and emerging technologies. As a Director, Data Enablement, you will serve as a trusted advisor to executives, helping organizations shape enterprise data strategies, modernize data ecosystems, and establish AI-ready foundations. The Opportunity As a Director, Data Enablement u nlock your potential and embrace the chance to drive meaningful outcomes that ’ ll elevate your career. Your role will include, but is n’ t limited to: Leadership and Client Advisory Lead executive-level client engagements focused on data strategy, platform modernization, analytics transformation, and AI readiness. Build trusted advisor relationships with CIOs, CTOs, Chief Data Officers, business executives, and other senior stakeholders. Develop enterprise data transformation roadmaps aligned to strategic business objectives and measurable business outcomes. Communicate complex technical concepts to business and technology audiences while influencing executive decision-making. Mentor and develop multidisciplinary teams while fostering innovation and collaboration. Data Strategy and Business Transformation Lead enterprise data strategy initiatives that enable analytics, AI, operational effectiveness, and measurable business outcomes. Assess current-state capabilities and define future-state operating models and transformation roadmaps. Help clients connect data initiatives to business value and strategic priorities. Develop business cases and recommendations related to data modernization, information management, and AI adoption. Advise clients on emerging trends across data, analytics, cloud , and artificial intelligence. ​ Data Platform Modernization Lead the design and modernization of enterprise data platforms, including data warehouses, data lakes, lakehouses , and analytics environments. Guide organizations through migration from legacy on-premise environments to modern cloud-based data platforms. Assess architecture options, technology investments, business risks, and implementation approaches. Establish scalable, secure, and governed data ecosystems that support analytics, predictive modeling, and AI workloads. Develop modernization strategies leveraging cloud-native capabilities to improve scalability, performance, and business value. ​ Data Governance and AI Enablement Design and implement enterprise data governance frameworks and operating models. Lead initiatives focused on data quality, metadata management, master data management, and compliance. Establish trusted and governed data assets that support analytics and responsible AI adoption. Ensure alignment with privacy, security, regulatory, and risk management requirements. Enable AI initiatives through strong data management and platform readiness capabilities. ​ Business Development and Practice Growth Lead business development activities, including pursuits, proposals, executive presentations, and solution development. Build and expand relationships across existing and prospective client organizations. Contribute to thought leadership and market-facing initiatives in Data Enablement and AI. Support the development of new offerings, accelerators, and go-to-market strategies. Drive practice growth and revenue opportunities. What You'll Bring Your skills, knowledge, and experiences are what set you apart. Here's what we look for: Minimum 10 years of relevant experience, with 15+ years preferred, in Data & Analytics, Data Strategy, Enterprise Architecture, Cloud Data Platforms, or Consulting. Proven experience leading enterprise data transformation and modernization initiatives. Demonstrated success building modern data platforms and leading migrations from on-premise to cloud-based environments. Proven ability to shape strategic roadmaps and connect data investments to business outcomes. Experience advising executive stakeholders and presenting recommendations to C-suite audiences. Experience leading multidisciplinary teams across strategy, design, implementation, and delivery. Strong consulting, stakeholder management, and client relationship management experience. Experience leading business development activities, proposals, solutioning efforts, and client presentations. Experience working within consulting, advisory, or professional services organizations is strongly preferred. Experience supporting Financial Services and/or Public Sector clients is highly preferred. Proven success managing complex programs, budgets, resources, and stakeholder relationships. ​ Technical experience in many of the following areas: Data Strategy & Enterprise Information Management Enterprise Data Strategy Data Governance Master Data Management (MDM) Metadata Management Data Quality Management Enterprise Information Management Data Operating Models Data Stewardship Frameworks ​ Data Platforms & Analytics Enterprise Data Warehouses (DW) Enterprise Data Lakes (EDL) Lakehouse Architectures Business Intelligence (BI) Predictive Analytics Conceptual, Logical, and Physical Data Modeling Star Schema and Relational Data Models Reporting & Analytics Platforms ​ Cloud Platforms Experience with one or more of: Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) ​ Modern Data Technologies Experience with technologies such as: Databricks Snowflake Microsoft Fabric Azure Synapse Analytics BigQuery Amazon Redshift Enterprise ETL / ELT Solutions ​ Data Engineering & Security Data Integration and Data Pipelines ETL / ELT Design and Development Data Conversion and Migration Strategies Data Quality and Data Cleansing Data Security and Data Protection Data Masking Technologies Compliance and Risk Management Frameworks Preferred Certifications While not required , the following certifications are considered an asset: Microsoft Azure Certifications AWS Certifications Google Cloud Certifications Databricks Certifications Microsoft Fabric Certifications Enterprise Architecture Certifications Data Governance Certifications Practical leadership experience delivering successful business outcomes is valued more highly than certifications alone. 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 $191,200 - $241,200. 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. 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) 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, Analytical Thinking, Auditing Methodologies, Coaching and Feedback, Communication, Creativity, Data Analysis and Interpretation, Data Analytics, Data Cleaning, Data Collection, Data Engineering, Data Error Checking, Data Ingestion, Data Integration, Data Integrity, Data Interpretation, Data Management, Data Quality, Data Quality Assessment, Data Security, Data Transformation, Embracing Change, Emotional Regulation {+ 28 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 August 13, 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 (). 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 ().