Job Description

Project Management & Execution:

• Lead and manage multiple data and analytics IT projects, e.g., building a data platform, data architecture and governance, AI/ ML
• Manage project end to end from ideation/ discovery and business case development to execution and value delivery
• Coordinate across cross-functional teams, including IT, data engineering, AI/ML, security, and business units.
• Define project scope, objectives, deliverables, and timelines in collaboration with technical and business stakeholders.
• Create and maintain project plans, timelines, and risk registers to ensure smooth project execution. Proactively manage risks, dependencies, roadblocks and escalate as needed
• Manage project forecast and actuals and proactively problem solve risks/ issues

Stakeholder Collaboration & Communication:

• Facilitate regular status updates, sprint reviews, and executive steercos to communicate progress, risks, and impact.
• Bring stakeholders together to problem solve and prioritize, with a focus on value/ impact delivery
• Pull in partners including Sourcing, Legal, Audit, Security, Risk, Finance, Enterprise Architecture at the appropriate times and maintain communication as required

Agile and product operating model:

• Work with engineering and data teams to ensure best practices in data architecture, AI model deployment, and cloud-based solutions.
• Implement agile and product management practices to iteratively delivery value, including working in a sprint cadence, managing a backlog, and conducting key touchpoints (e.g., sprint planning, sprint review)
• Help the data and IT teams transition to a product operating model

Performance Tracking & Continuous Improvement:

• Define and track key performance indicators (KPIs) to measure project success and business impact
• Manage team level metrics, and identify and help teams implement process improvements, automation, innovation to drive continuous improvement
• Develop material to demonstrate value delivered by the projects on an ongoing basis
• Implement best practices in IT governance, data security, and compliance

Job Qualifications:

• Bachelor's and Master's Degree in Business, Finance, Management, or a related field
• 8-10 years of experience in program management, portfolio management, and measurement in an agile context, and a proven track record in delivering complex projects
• Experience leading data platform, AI, or IT transformation projects
• Strong understanding of data architecture, ETL pipelines, and AI model deployment.
• Hands-on experience with Agile, Scrum, and project management tools (JIRA, Monday.com); Scrum Master experience preferred
• Ability to bridge the gap between technical teams and business stakeholders, translating complex concepts into actionable insights.
• Strong problem-solving skills with the ability to manage competing priorities in a fast-paced environment.
• Excellent written and oral communication, collaboration, and leadership skills
• Experience managing a matrix team consisting of associates, contractors and vendors with various skills and disciplines.
• Strong business acumen and strategic thinking to complement strong tactical execution skills
• Ability to build relationships, influence and negotiate without authority across all levels of IT and business units

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