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    Job · 16418849

    Ernst Young logo

    MS - FDL - Operation Architect - Manager

    Ernst Young · Hyderabad · onsite · Posted 43d ago

    Undisclosed12–18 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary
    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.
    Role Overview
    We are seeking an experienced Operations Architect Manager to lead the end-to-end ownership of scalable enterprise data product platforms supporting finance transformation initiatives.
    This role sits at the intersection of architecture, engineering, and operational excellence, driving platform scalability, delivery execution, and team leadership. The successful candidate will combine strong technical expertise with operational rigor and stakeholder management capabilities to deliver finance transformation solutions across Procure-to-Pay P2P, Order-to-Cash O2C, Record-to-Report R2R, Financial Planning & Analysis FP&A, and related domains.
    The role offers an opportunity to shape data platform strategy, define engineering standards, establish delivery governance, and enable business value realization through data-driven solutions.
    Your Key Responsibilities Technology & Architecture Leadership
    • Define, collaborate on, and own the architecture roadmap for scalable data platforms supporting finance transformation programs.
    • Design and oversee secure, scalable, and high-performance cloud-native data platforms and analytics solutions.
    • Establish architecture standards, design patterns, and best practices across data ingestion, processing, storage, and consumption layers.
    • Drive adoption of modern data technologies including data lakes, lakehouse architectures, orchestration tools, APIs, and AI-enabled solutions.
    • Partner with DevOps teams to establish and manage CI/CD and release management processes.
    • Lead platform incident management and resolution activities.
    Delivery & Operational Excellence
    • Lead end-to-end delivery governance across multiple concurrent workstreams.
    • Implement scalable delivery operating models incorporating Agile, DevOps, and Site Reliability Engineering SRE practices.
    • Define and monitor KPIs, SLAs, and performance frameworks to ensure platform reliability and scalability.
    • Drive continuous improvement initiatives focused on engineering productivity, quality, and release management.
    • Ensure data governance, compliance, quality, and security standards are embedded across platform operations.
    Team Leadership & Talent Management
    • Lead and develop multidisciplinary teams comprising data engineers, architects, analysts, and DevOps professionals.
    • Foster a high-performance culture centered on accountability, innovation, and business outcomes.
    • Drive workforce planning, capability development, and technical upskilling initiatives.
    • Mentor team members in technical excellence, problem-solving, and stakeholder engagement.
    Business & Stakeholder Management
    • Collaborate with business leaders, finance transformation teams, and clients to translate business requirements into scalable technology solutions.
    • Serve as a bridge between business and technology teams, ensuring alignment with strategic objectives.
    • Support solution design, proposals, and client discussions through architecture and delivery expertise.
    • Communicate program progress, risks, and value realization to executive stakeholders.
    Platform & Product Leadership
    • Drive a product-centric approach to platform development focused on scalability, modularity, and reusability.
    • Identify opportunities to industrialize and standardize solutions into reusable assets and platform capabilities.
    • Enable advanced analytics and AI-driven insights to unlock value from finance data.
    Skills and Attributes for Success
    • Strong leadership experience managing large engineering and architecture teams.
    • Expertise in enterprise-scale data platform architecture and solution design.
    • Deep understanding of cloud technologies and modern data ecosystems.
    • Strong stakeholder management and executive communication skills.
    • Experience driving large-scale transformation and delivery programs.
    • Strong problem-solving, decision-making, and governance capabilities.
    • Ability to balance strategic vision with hands-on execution.
    • Strong ownership mindset focused on delivering measurable business outcomes.
    To Qualify for the Role, You Must Have Education & Experience
    • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
    • 12-18+ years of experience in data engineering, platform architecture, and delivery leadership roles.
    • Proven experience leading large-scale engineering teams within enterprise environments.
    Technical Expertise
    • Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
    • Strong knowledge of data architecture patterns including data lakes, data

    Sourced from naukri

    Skills

    AutomationAgilecloud platformsapiscloud technologiesamazon web servicesapache airflowBusiness Requirementsanalytics platformsAnalyticsCapital MarketsconcurrentcloudCommunication SkillsArchitectureAdvanced AnalyticscomplianceMicrosoft AzureArtificial Intelligence

    About Ernst & Young

    Ernst Young logo

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

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