Data Engineering, Management & Governance Senior Manager/Associate Director - Products

Accenture Plc

  • San Francisco, CA
  • 30+ days ago
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Budget Forecastingunmatched
    • Budget Managementunmatched
    • Budget Reportingunmatched
    • Budgetingunmatched
    • Business Solutionsunmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • DevOpsunmatched
    • Ecosystemsunmatched
    • Enterprise Applicationsunmatched
    • Investment Strategyunmatched
    • Leadershipunmatched
    • Maintain Complianceunmatched
    • Mentoringunmatched
    • Multitaskingunmatched
    • Performance Analysisunmatched
    • Problem Solving Skillsunmatched
    • Project Planningunmatched
    • Project/Program Managementunmatched
    • Prototypingunmatched
    • Recruiting Strategyunmatched
    • Relationship Managementunmatched
    • Requirements Managementunmatched
    • Sales Managementunmatched
    • Service Deliveryunmatched
    • Service Level Agreement (SLA)unmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Strategic Planningunmatched
    • System Architectureunmatched
    • Talent Managementunmatched
    • Team Lead/Managerunmatched
    • Willing to Travelunmatched

    Description

    We Are

    The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

    With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

    The Work

    Data Engineering, Management & Governance Senior Manager and the job duties are as follows:

    • Architect scalable solutions for new rollouts, enhancements, and lifecycle maintenance, integrating best practices across DevOps, MLOps, and DataOps frameworks.

    • Lead strategic design and oversight of data system components and enterprise applications, ensuring alignment with organizational goals and long-term technology roadmaps.

    • Drive cross-functional project planning for complex IT initiatives, defining objectives, technology stacks, systems architecture, schedules, budgets, and staffing strategies in collaboration with senior leadership.

    • Oversee application performance and service delivery, ensuring adherence to SLAs and proactively managing scope, budget, and timelines across multiple concurrent projects.

    • Set technical standards and governance for application design and development, ensuring code quality, security, and compliance across engineering teams.

    • Develop system specifications and establish AI initiatives, MLops and Dataops for complex systems.

    • Identify and solve complex problems that require in-depth evaluation of variable factors for team implementation.

    • Mentor and lead engineering teams, translating business and system requirements into actionable design specifications and fostering talent development.

    • Manage program-level execution, including issue resolution, stakeholder reporting, and budget forecasting, while making strategic decisions in consultation with executive leadership.

    • Shape strategic direction, prototype innovative solutions, and ensure alignment with client and senior management expectations.

    • Represent the organization in senior-level engagements, building trust with clients and internal executives through effective communication and relationship management.

    Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

    Numbers & Facts

    LocationSan Francisco, CA

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