Digital Factory - Engineering Manager - Associate Director Other locations: Primary Location Only
Date: Mar 2, 2026
Requisition ID: 1689147
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The Engineering Manager - Associate 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 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 removeimpediments 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.
10+ years of experience in data analytics, preferably within an audit or assurance environment.
Proficiency inSQL,Python, andSpark/PySpark.
Strong experience indata modelingand transforming complex datasets into structured formats.
Experience in thefinancial sector, with a solid understanding of financial data structures.
Ability to analyze and transcribe financial data intoER diagramsfor 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 systematicremediation of defects and technical debt.
Ensure teams build with reliability and operability in mind (telemetry, SLOs, errorbudgets, 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 transparentupdates on progress, risks, and mitigations.Platform & Reuse.
Encourage reuse via shared libraries, components, and templates; maintaindocumentation for architecture decisions and reusable assets.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. · Demonstrated experience leading software engineering teams as an EngineeringManager 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 atdependency 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‑ledorganization.
Exposure to regulatory and security considerations in financial‑servicesenvironments.
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, andstandard 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.
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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.
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