Data Strategy & Data Enabled Solutions - Senior Manager Or Associate Director

Data Strategy & Data Enabled Solutions - Senior Manager or Associate Director - TorontoLocation: Toronto
Other locations: Primary Location Only
Requisition ID: 1759846
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
The opportunityEY's Canada Tax & Law Technology Group (CTTG) is seeking an experienced Associate Director / Senior Manager, Data Strategy & Data-Enabled Solutions to help define and scale our data strategy, capabilities, offerings, and solutions.
This is a strategic and hands-on role that will play a pivotal part in shaping how data is leveraged as a strategic asset across Tax & Law. The role will focus on identifying new opportunities, enabling data-driven insights and decision-making, developing new solutions and services, strengthening existing offerings, and enabling smarter and more scalable service delivery.
We are looking for a senior data professional who can move comfortably between strategy and execution. The successful candidate will be expected to help set direction while also working directly with data to explore opportunities, develop analyses, test hypotheses, prototype solutions, and evaluate new approaches and technologies. They will leverage CTTG development and delivery resources to help engineer, productionize, and scale solutions where needed.
This job posting relates to an existing vacancy within our organization.
Your key 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 service line by establishing reusable approaches, sharing leading practices, and helping teams understand how data can be more effectively leveraged.
Skills and attributes for successThe successful candidate will bring a strong background in data strategy, analytics, data architecture, and hands-on solution development, and will operate as a connector between business leadership, data and technology teams, and solution delivery. They'll combine the mindset of a strategist, problem solver, and builder: someone who can identify where data can create value, determine how to solve the problem, prove what is possible, and work with a broader team to turn successful ideas into scalable solutions, services, and market offerings.
Ideally, you'll also
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.
Exposure to the Microsoft ecosystem, including Power Platform, Dataverse, and Azure data services, is highly desirable.
What we look for
A Bachelor's degree in Data Science, Analytics, Computer Science, Engineering, Information Systems, Business, or a related field. An advanced degree is an asset.
8-12+ 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.
What we offerWe offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a discretionary bonus program, a comprehensive medical, prescription drug and dental coverage plan, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
Support and coaching from some of the most engaging colleagues in the industry
Learning opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you
EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.
Director: $160,000 to $240,000
Senior Manager: $128,000 to $192,000
To help create the best experience during the recruitment process, please describe any accommodations you may need.
Inclusiveness at EYInclusiveness is at the heart of who we are and how we work. We're committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systematic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they
#J-18808-Ljbffr