Director, Data Enablement

Pwc Canada•Toronto, ON

9d•CA$191,200 - CA$241,200

About The Position

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

Requirements

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.
Technical experience in many of the following areas: 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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.