Accellor - Technical Project Manager - AI/ML & Digital Transformation

Project Manager AI/ML & Digital Transformation We are looking for an experienced Project Manager to lead end-to-end delivery of AI/ML, Data Engineering, Software Development, and Digital Transformation projects. The role requires a strong combination of project management, stakeholder management, technology understanding, and delivery leadership. Key Responsibilities: - Lead projects from requirement gathering and planning through development, deployment, and closure. - Manage end-to-end delivery of AI/ML, Data Engineering, Software Development, and Digital Transformation initiatives. - Coordinate with AI Engineers, Data Scientists, Software Developers, MLOps Engineers, Cloud Architects, Product Managers, and business stakeholders. - Gather and analyze business requirements and prepare appropriate business requirement documents. - Work with Product Managers and senior stakeholders to define priorities, timelines, deliverables, and project objectives. - Ensure projects are delivered within agreed scope, timelines, quality standards, and budget. - Lead cross-functional teams in a matrix environment and ensure effective collaboration across functions. - Apply appropriate project delivery methodologies including Agile, Kanban, Waterfall, and iterative approaches. - Manage project estimation, planning, resource allocation, monitoring, reporting, and risk management. - Identify project risks, dependencies, gaps, and bottlenecks and drive timely resolution. - Prepare regular project status reports, dashboards, and management updates. - Lead Root Cause Analysis (RCA) for critical incidents and track corrective and preventive actions. - Manage multiple projects simultaneously while maintaining delivery quality and stakeholder alignment. - Identify opportunities for process improvement, new initiatives, and potential business expansion. Technology & AI/ML Understanding: - Work with technical teams to understand and deliver AI/ML and technology-driven solutions. - Good understanding of the AI/ML lifecycle, including Generative AI, LLMs, RAG, NLP, and Computer Vision. - Coordinate with technical teams on MLOps activities, including model deployment, monitoring, versioning, and continuous improvement. - Understand cloud technologies, data platforms, distributed systems, and modern application architectures. - Ensure project solutions consider key non-functional requirements such as performance, scalability, reliability, availability, security, and governance. - Work with stakeholders to ensure technology solutions align with business objectives. Required Skills & Experience: - 10 - 15 years of experience in project management, program delivery, software development projects, or technology consulting. - Strong experience managing complex software/technology projects using Agile methodologies. - Experience in AI/ML, Data Engineering, Digital Transformation, or technology-led projects. - Good understanding of Generative AI, LLMs, RAG, NLP, and Computer Vision. - Strong understanding of SDLC, software delivery, and project lifecycle management. - Experience managing cross-functional teams and multiple stakeholders. - Strong knowledge of project planning, estimation, budgeting, risk management, and status reporting. - Experience with project management tools such as JIRA, SharePoint, and MS Project. - Knowledge of Big Data and Analytics, including Power BI, Tableau, and SQL Server, is preferred. - Knowledge of Azure, AS400, Blue Yonder, or reporting platforms is an advantage. - Understanding of cloud technologies and distributed systems is a plus. - Familiarity with AI governance, Responsible AI, data privacy, and regulatory requirements. - Strong communication and presentation skills with the ability to interact with technical teams, business stakeholders, and senior leadership. - Proven ability to deliver projects on time and within budget. - Strong problem-solving, stakeholder management, and leadership skills.