Description

Required Skills:

• Strong experience managing enterprise data platform and technology projects.
• Experience leading AI/ML platform initiatives, including SageMaker Migration, ModelOps, AWS Bedrock, and Azure AI Foundry.
• Proven ability to manage end-to-end project and program execution from planning through production deployment.
• Strong expertise in project planning, scheduling, budgeting, resource allocation, and performance management.
• Experience managing project scope, costs, timelines, dependencies, milestones, and contractual deliverables.
• Experience coordinating cross-functional teams across Engineering, Architecture, Cloud, Security, IAM, Data Engineering, Operations, Product, and business functions.
• Strong understanding of Big Data platforms, data engineering, analytics, and enterprise data solutions.
• Experience with SIT/UAT testing, release planning, deployment coordination, and production onboarding.
• Ability to manage release readiness assessments and facilitate Go/No-Go decisions.
• Strong experience in project governance, risk management, and issue resolution.
• Expertise in maintaining RAID logs (Risks, Assumptions, Issues, and Dependencies).
• Experience tracking project KPIs, milestones, deliverables, and overall project performance.
• Ability to identify project risks, manage dependencies, remove blockers, and escalate critical issues.
• Strong executive communication, stakeholder management, and status reporting skills.
• Experience managing vendors, third-party partners, and distributed project teams.
• Knowledge of Agile, Waterfall, and hybrid project management methodologies.
• Strong analytical, problem-solving, decision-making, and organizational skills.
• Ability to manage multiple workstreams and competing priorities in a fast-paced enterprise environment.
• Excellent verbal and written communication skills, with the ability to engage technical and business stakeholders.
• Financial Services / Banking experience is preferred.
• Experience delivering enterprise-scale AI/ML, cloud, data engineering, or analytics transformation programs is highly desirable.

Preferred Qualifications:

• Experience with AWS cloud platforms and AI/ML services, particularly Amazon SageMaker and AWS Bedrock.
• Familiarity with Microsoft Azure AI Foundry and enterprise AI platform solutions.
• Experience with ModelOps, MLOps, AI model deployment, and production operationalization.
• Experience supporting enterprise cloud migration and modernization initiatives.
• Strong understanding of enterprise architecture, cloud security, IAM, and data governance.
• Experience working in IBM Consulting or large enterprise consulting environments is an advantage.

Key Responsibilities:

• Lead and deliver AI/ML and data platform programs, ensuring successful execution against agreed timelines, scope, budget, and quality standards.
• Develop and maintain comprehensive project plans, schedules, milestones, resource plans, and delivery roadmaps.
• Coordinate cross-functional teams and stakeholders to ensure alignment across technical and business workstreams.
• Monitor project progress, track KPIs, manage dependencies, and provide regular status updates to leadership.
• Manage project risks, issues, assumptions, and dependencies, implementing mitigation plans and escalating critical blockers.
• Coordinate SIT/UAT activities, release readiness, production onboarding, deployment schedules, and Go/No-Go decisions.
• Drive governance processes, stakeholder reviews, executive reporting, and change control.
• Ensure successful delivery of cloud and AI/ML platform initiatives, including migration, ModelOps, and production deployment.
• Facilitate communication between engineering teams, architects, business stakeholders, vendors, and senior leadership.
• Ensure project deliverables meet organizational standards, contractual requirements, and business objectives

Key Skills

Education

Bachelor's degree