Senior Manager -Data Strategy and Data-Enabled Solutions

The Opportunity

EY’s Canada Tax & Law Technology Group (CTTG) is seeking an experienced Senior Manager to help define and scale our data-driven strategy, offerings, and solutions. This is a leadership role that plays a pivotal part in shaping how data is leveraged as a strategic asset—informing new services and building new solutions, strengthening existing offerings, and enabling smarter, more scalable Tax & Law delivery.

• Partner with Tax & Law leadership to define and execute a data strategy that advances service delivery, managed services, and new market offerings; including connectivity between different competencies.
• Identify and shape data‑enabled use cases aligned to business priorities, client needs, and long‑term platform strategy.
• Lead discovery discussions to understand business problems, data opportunities, and information gaps, articulating the art of the possible with data.
• Experiment with new data sources, analytical approaches, and tools to test hypotheses and validate strategic use cases.
• Define end‑to‑end data‑driven solutions, including data extraction, transformation, integration, modeling, analytics, and visualization.
• Translate business requirements, workflows, and operating models into clear functional and technical direction for delivery teams.
• Guide the design and delivery of data and analytics solutions leveraging platforms such as Microsoft Power BI, Microsoft Dataverse, Azure data services, Alteryx, and related technologies.
• Oversee data ingestion, cleansing, transformation, and orchestration across multiple structured and unstructured data sources.
• Enable data integration and interoperability using APIs, ETL/ELT pipelines, and modern integration patterns.
• Work closely with agile delivery teams to evolve successful experiments into scalable, secure, and reusable data assets and analytical products.
• Establish clear roadmaps and prioritization for data initiatives, balancing innovation, scalability, and governance.
• Collaborate with technology, risk, and enablement teams to ensure solutions align with EY standards, data governance, and compliance requirements.
• Provide thought leadership on data strategy, analytics trends, and emerging capabilities relevant to Tax & Law services.

• Strong understanding of data strategy, data governance, and information architectures, including data extraction, transformation, and integration concepts.
• Ability to think strategically about data as a product and enabler of new services and managed offerings.
• Hands‑on or working knowledge of analytics and data preparation tools such as Alteryx, Power BI, or similar platforms.
• Comfort exploring data, experimenting with approaches, and iterating toward scalable solutions.
• Ability to move fluidly between exploratory analysis and structured, production‑oriented delivery.
• Proven ability to influence senior stakeholders and align data initiatives to business objectives.
• Strong data storytelling, problem‑solving, and process analysis skills.
• Experience working in agile or iterative delivery environments.
• Excellent executive‑level communication skills, including the ability to convey insights and strategy through data.
• Collaborative leadership style with experience working across multidisciplinary teams.
• This role is not focused on academic research, standalone statistical modeling, or long‑running experimentation disconnected from business delivery.

• A Bachelor’s degree in Business, Data Science, Analytics, Computer Science, Engineering, Information Systems, or a related field; advanced degrees are an asset.
• 8–12+ years of experience in applied data science, analytics, data strategy, or technology consulting roles with production delivery responsibility.
• Experience defining data strategies, analytics roadmaps, or data‑enabled service offerings.
• Experience working with data extraction, transformation, and preparation tools (e.g., Alteryx or equivalent ETL/ELT tools).
• Hands‑on experience with data visualization, analytics, or business intelligence platforms (e.g., Power BI).
• Experience working with diverse data platforms, data models,…