Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Data Engineering & Analytics Specialist (Digital Engagement – Clients & Industries)– Assistant Director

The Opportunity

As an Assistant Director – Data Engineering & Analytics at EY, you will manage the design, scaling, and transformation of enterprise-grade data and analytics capabilities for Clients & Industries (C&I) and strategic EY-wide initiatives.

You will move beyond execution to end-to-end ownership of data platforms, analytics programs, and business-facing solutions, ensuring alignment with priorities. This role requires a strong foundation in data engineering and analytics, complemented by exposure to AI, Gen AI, and agentic capabilities to drive next-generation insights and productivity.

You will act as a trusted advisor to business stakeholders and leadership, shaping data strategy, driving adoption, and building scalable, future-ready data ecosystems.

Data Engineering, Architecture & AI Enablement

• Manage the hands-on design and execution of data engineering and analytics solutions aligned to business priorities.
• Own and scale data platforms, pipelines, and analytics solutions across C&I use cases.
• Architect and manage development of scalable, secure, high-performance data platforms in MS Azure.
• Establish best practices for data ingestion, transformation, modelling, governance, and reuse of data assets and pipelines.
• Ensure high-quality, reliable, and trusted data pipelines for analytics and advanced use cases.
• Drive adoption of AI-enabled analytics capabilities, including Gen AI, Copilot Studio, and Agentic AI frameworks.
• Enable integration of LLMs and AI services for summarization, insights generation, and workflow automation.

Analytics Delivery & Business Impact

• Translate complex business problems into data and analytics solutions delivering measurable outcomes.
• Manage development of dashboards, advanced analytics models, and decision-support tools.
• Enable business teams to move from data → insight → action through storytelling and visualization.
• Identify opportunities to embed analytics into products, workflows, and decision-making processes.

Stakeholder Management & Program Leadership

• Engage senior stakeholders as a trusted advisor, translating business needs into scalable data solutions.
• Manage cross-functional programs across business, analytics, and technology teams.
• Manage multiple workstreams ensuring delivery quality, timelines, and stakeholder satisfaction.
• Drive collaboration across global, multi-disciplinary teams.

Governance, Quality & Capability Building

• Ensure adherence to data governance, privacy, GDPR, and information security standards.
• Establish frameworks for data quality, lineage, and metadata management.
• Monitor and optimize performance, scalability, and cost efficiency of data platforms.
• Build and mentor high-performing data and analytics teams.
• Drive a data-first and AI-first culture across the organization.
• Stay current with emerging technologies and pilot new tools, frameworks, and accelerators.

Skills and Attributes for Success

• Strong data & analytics solutioning mindset, with ability to connect technology to business outcomes.
• Proven ability to translate strategy into scalable execution.
• Strong executive presence and ability to influence senior stakeholders.
• Deep problem-solving skills with structured and hypothesis-driven thinking.
• Ability to manage complex programs across geographies and stakeholders.
• Strategic, innovative, and outcome-oriented mindset.
• Strong communication and storytelling skills to simplify complex insights.
• Collaborative leadership style with focus on team development and capability building.

Technical Expertise

• Strong hands-on experience in data engineering and analytics.
• Proficiency in SQL, Python, and modern data processing frameworks.
• Strong expertise in Microsoft Azure ecosystem (e.g., Azure Data Factory, Synapse, Data Lake, etc.).
• Experience with data modelling, architecture design, and performance optimization.
• Hands-on experience with Power BI or similar visualization tools.
• Familiarity with data integration, APIs, and enterprise data platforms.

Good to Have

• Exposure to Gen AI, LLMs, and AI-driven analytics use cases.
• Experience with Copilot Studio, Power Platform, or similar low-code AI ecosystems.
• Understanding of Agentic AI frameworks and automation-driven workflows.
• Exposure to Alteryx or advanced analytics tools.

We are looking for experienced professionals who combine strong data engineering and analytics expertise with strategic thinking and leadership capability.

The ideal candidate will:

• Drive business value through data and analytics, not just technology delivery.
• Be comfortable operating at both strategic and execution levels.
• Demonstrate a forward-looking mindset, leveraging AI and automation to enhance productivity and insights.
• Thrive in a fast-paced, evolving, and collaborative environment.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.