Data Engineering, Management & Governance Senior Manager/Associate Director

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.

Artificial Intelligence (AI), Best Practices, Budget Forecasting, Budget Management, Budget Reporting, Budgeting, Business Solutions, Communication Skills, Cross-Functional, DevOps, Ecosystems, Enterprise Applications, Investment Strategy, Leadership, Maintain Compliance, Mentoring, Multitasking, Performance Analysis, Problem Solving Skills, Project Planning, Project/Program Management, Prototyping, Recruiting Strategy, Relationship Management, Requirements Management, Sales Management, Service Delivery, Service Level Agreement (SLA), Software Design, Software Development, Strategic Planning, System Architecture, Talent Management, Team Lead/Manager, Willing to Travel

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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.