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Ernst & Young

Global professional services: consulting, assurance, tax

Associate Director OR Senior Manager - Data Strategy & Data-Enabled Solutions, National

Data Management +1Posted on Nov 10
Full-timeCalgary, AB, CanadaIn-person

About the Job

Requirements

  • A Bachelor’s degree in Data Science, Analytics, Computer Science, Engineering, Information Systems, Business, or a related field is required.
  • At least 8 years of experience in data strategy, analytics, data engineering, applied data science, technology consulting, or related roles, with meaningful responsibility for delivering data-enabled solutions.
  • Demonstrated experience defining or contributing to data strategies, data architectures, analytics roadmaps, data products, or data-enabled service offerings.
  • Experience taking ambiguous business opportunities or problems from discovery and exploration through prototyping, solution design, and implementation.
  • Experience designing and delivering solutions involving data ingestion, extraction, transformation, integration, modeling, analysis, and visualization.
  • Hands-on experience with data preparation, transformation, and integration technologies such as Alteryx or comparable ETL/ELT tools.
  • Hands-on experience with data visualization, analytics, or business intelligence platforms such as Power BI.
  • Experience working with diverse data platforms, data models, and both structured and unstructured data sources.
  • Experience working with APIs, integration patterns, and modern cloud-based data architectures.
  • Strong understanding of the software development lifecycle, data product delivery, and agile methodologies.
  • Experience gathering and translating business requirements and guiding solutions from concept and prototype through implementation and scale.
  • Experience collaborating with developers, architects, and other technical specialists to productionize and scale solutions.

Responsibilities

  • Partner with Tax & Law leadership to define and execute a data strategy that advances service delivery, managed services, growth, and new market offerings, including opportunities to connect data and insights across competencies and services.
  • Identify, prioritize, and shape data-enabled opportunities, use cases, and solutions aligned with business priorities, client needs, and the long-term technology and platform strategy.
  • Lead discovery with business teams to understand business problems, processes, available data, information gaps, and opportunities, and articulate the art of the possible through data.
  • Work hands-on with data to explore opportunities, perform analysis, test hypotheses, identify patterns and insights, develop prototypes, and demonstrate potential solutions.
  • Experiment with new data sources, data models, analytical approaches, tools, and technologies to quickly assess feasibility, validate ideas, and determine potential business value.
  • Design and prototype end-to-end data-enabled solutions, including data extraction, preparation, transformation, integration, modeling, analytics, visualization, and consumption.
  • Define data architectures and solution approaches that enable information to be securely, effectively, and consistently used and reused across solutions, services, and teams.
  • Apply and leverage technologies such as Microsoft Power BI, Microsoft Dataverse, Azure data services, Alteryx, APIs, ETL/ELT tools, and related data and analytics technologies.
  • Work across structured and unstructured data sources and develop approaches for ingesting, connecting, transforming, and deriving value from disparate sources of information.
  • Partner with developers, architects, and agile delivery teams to evolve successful prototypes and experiments into secure, scalable, supportable, and reusable solutions.
  • Provide technical direction and hands-on support throughout solution development, helping teams address complex data, architecture, analytics, and integration challenges.
  • Translate successful approaches into repeatable data assets, solutions, services, and market offerings that can be leveraged more broadly across Tax & Law.
  • Collaborate with technology, risk, security, privacy, and enablement teams to ensure solutions align with EY standards, data governance, and compliance requirements.
  • Help strengthen data capability and maturity across the service line by establishing reusable approaches, sharing leading practices, and helping teams understand how data can be more effectively leveraged.

Desired Qualifications

  • An advanced degree is an asset.
  • Exposure to the Microsoft ecosystem, including Power Platform, Dataverse, and Azure data services, is highly desirable.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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