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GenAI & Agentic AI Consultant @ Infosys

Dallas, Texas, USOnsiteFull-time
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About this role

In the assigned Job Role of Data Science Project Lead 2, your Area Of Responsibility will be as below: • Define project scope, goals, and deliverables that support business goals in collaboration with internal and client stakeholders. • Monitor project performance reports that provide insights into progress, challenges, and outcomes. • Establish and maintain relationships with mid-level and senior client stakeholders and provide update on project progress. • Facilitate end-to-end delivery and implementation of analytics projects and technologies by shaping business and technical requirements, guiding teams, overseeing integration, and ensuring solutions are scalable, stable, and deliver measurable business impact. • Proactively identify potential risks and issues that could affect project success. Implement mitigation strategies for identified risks. • For analytics projects, develop project estimates in line with project scope, approach, milestones and manage change requests. • Monitor estimates v/s actuals and oversee the allocation and management of project resources, including personnel, technology, and budget, to maximize efficiency and effectiveness. • Assist in preparing analytical and commercial proposals for upcoming client engagements. • Develop resource plans and define role requirements that anticipate future project needs and address potential shortages in analytical resources. • Conduct performance appraisals for team members. • Lead scope changes and manage client requirements, ensuring proper estimation, approval, and contractual updates.

Your contribution to the team:

• Demonstration of strategic mindset for delivering impactful, client-aligned projects. • Problem-solving expertise and ability to steer project economics and delivery. • Strong relationship with mid and senior level client stakeholders. • Strong leadership abilities to foster team performance and growth. • Commitment to cultivating a culture of learning and innovation.

Skills

Data and Analytics

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