Digital Factory - Engineering Manager - Assistant Director

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The Digital Factory - Engineering Manager - Assistant Director leads one or more cross-functional engineering teams to deliver secure, scalable, and high-quality digital products. This role combines people leadership, delivery management, and technical stewardship to ensure teams ship value predictably while adhering to architectural standards and modern engineering practices. The Engineering Manager partners closely with Product, Architecture, and Design to translate business outcomes into robust technical solutions and fosters a culture of craftsmanship, learning, and continuous improvement.

Key Responsibilities:

Team & People Leadership

• Build, lead, and retain high-performing engineering teams across one or more domains (backend, frontend, data); set clear goals, provide continuous feedback, and conduct growth-oriented performance conversations.
• Mentor leads and engineers, raising the bar on engineering excellence, code quality, and maintainability; create individualized development plans and promote knowledge sharing.
  
  

Delivery & Execution

• Own delivery outcomes for the team(s): plan releases, sequence work, and remove impediments to ensure predictable, on-time delivery of features with the right quality.
• Partner with Product to refine scope, balance trade-oƯs, and align roadmap, capacity, and budgets with strategic objectives.
• Establish lightweight but eƯective execution rituals (planning, reviews, retrospectives) and ensure clear status communication to stakeholders.
  
  

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Accounting, or a related field.
• 4+ years of experience in data analytics, preferably within an audit or assurance environment.
• Proficiency in SQL, Python, and Spark/PySpark.
• Strong experience in data modeling and transforming complex datasets into structured formats.
• Experience in the financial sector, with a solid understanding of financial data structures.
• Ability to analyze and transcribe financial data into ER diagrams for structured analysis.
• Excellent problem-solving and analytical skills with attention to detail.
• Ability to communicate complex data insights clearly and effectively to non-technical stakeholders.
• Familiarity with data governance, privacy, and compliance standards.
• Experience working in Agile teams and using project management tools like Jira or Trello is a plus.
  
  

Technical Stewardship

• Uphold engineering standards for secure, scalable, and observable systems; champion practices such as code reviews, automated testing, CI/CD, and trunk-based development.
• Guide architectural decisions in partnership with domain and enterprise architects; ensure solutions are maintainable, cost-eƯicient, and compliant with reference architectures.
• Oversee technical risk management early in the lifecycle and drive systematic remediation of defects and technical debt.
  
  

Quality, Reliability & Operability

• Ensure teams build with reliability and operability in mind (telemetry, SLOs, error budgets, runbooks); promote a blameless incident culture and durable post-incident improvements.
• Coordinate readiness for production, hypercare support, and stable operations in partnership with platform and support functions. Cross-Functional Collaboration.
• Create strong collaboration patterns with Product, Design, Architecture, Security, and Data-aligning design choices to business value and user outcomes.
• Represent engineering in governance and portfolio forums, providing transparent updates on progress, risks, and mitigations. Platform & Reuse.
• Encourage reuse via shared libraries, components, and templates; maintain documentation for architecture decisions and reusable assets.
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Demonstrated experience leading software engineering teams as an Engineering Manager or Senior Tech Lead, delivering production systems in one or more domains (backend, frontend, data).
• Strong grasp of modern architectures and practices (microservices/event-driven or modular frontends, data pipelines/lakes/warehouses, cloud-native services, CI/CD, automated testing).
• Proven ability to balance delivery speed with quality, security, and cost; adept at dependency management and stakeholder communication.
• Excellent people leadership, coaching, and conflict-resolution skills; ability tonurture inclusive, high-trust team cultures.
  
  

Preferred

• Experience working in an enterprise Digital Factory orplatform/product-led organization.
• Exposure to regulatory and security considerations in financial-services environments.
• Hands-on background in one primary domain (e.g., backend with APIs and services, OR frontend with modern frameworks OR data engineering with pipelines and orchestration) and literacy across adjacent domains.
  
  

Tools & Ways of Working

• Proficiency with agile tooling (e.g., Azure DevOps), documentation platforms, and standard code collaboration workflows (PRs, code reviews, trunk-based or GitFlow).
• Familiarity with observability stacks (logs, metrics, traces), automated quality gates, and cloud platforms (Azure).
• Commitment to measurable improvement via engineering metrics (e.g., DORA/SPACE), applied pragmatically to guide coaching and process refinement.
  
  

What We Offer You

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

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EY | Building 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.

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.