We are looking for a Project Manager to drive delivery of Data & AI initiatives across client engagements.
This role focuses on end-to-end execution of projects ensuring timelines quality and stakeholder expectations are met. The individual will work closely with architects AI leads and engineering teams to deliver data platforms and AI solutions in structured and predictable ways.
The role requires the ability to operate in fragmented delivery environments often involving staff augmentation models and multiple stakeholders and bring clarity ownership and execution discipline.
Experience
812 years of overall experience in technology delivery
36 years of experience managing Data / Analytics / AI projects
Proven experience handling multi-team or multi-vendor delivery environments
Key Responsibilities
Project Delivery & Execution
Own end-to-end delivery of Data & AI projects (data pipelines platform implementations AI use cases)
Define project plans milestones timelines and deliverables
Track progress manage dependencies and ensure timely delivery
Execution Governance
Establish and manage project governance (status tracking reporting risk management)
Identify and proactively manage risks issues and blockers
Ensure alignment between scope timelines and resources
Managing Fragmented Teams
Manage delivery across staff augmentation-heavy teams and multiple vendors
Bring structure to loosely aligned teams by defining clear ownership and ways of working
Drive accountability without always having direct reporting control
Stakeholder Management
Act as the primary point of contact for project-level communication
Provide clear structured updates to stakeholders
Manage expectations and handle scope changes effectively
Collaboration with Technical Teams
Work closely with Solutions Architects AI Leads and engineers to align execution with solution design
Ensure dependencies across data AI and platform teams are managed effectively
Practice Alignment
Contribute to improving delivery playbooks templates and governance frameworks
Identify opportunities for reuse (accelerators templates) from ongoing projects
Core Skills (Must Have)
Project Management
Strong experience in managing end-to-end project delivery
Ability to create structured plans and drive execution
Strong in risk management issue tracking and reporting
Data & AI Awareness
Basic to good understanding of data platforms analytics workflows and AI/ML concepts
Ability to engage with technical teams and understand dependencies
Familiarity with platforms such as Databricks or Snowflake is preferred
Execution in Complex Environments
Experience managing projects with distributed teams vendors and staff augmentation models
Ability to bring structure and clarity in ambiguous or loosely governed setups
Stakeholder Communication
Strong communication and coordination skills
Ability to manage stakeholders across business and technology
Delivery Mindset
Focus on outcomes timelines and quality
Ability to push teams and drive accountability
Nice to Have
Experience working on AI or GenAI-driven projects
Familiarity with Agile / Scrum and hybrid delivery models
Exposure to cloud platforms (Azure AWS)
Experience in financial services or regulated environments
What We Are Not Looking For
Pure coordinators without ownership of delivery
Candidates without exposure to data or AI projects
Profiles limited to status reporting without driving execution
Required Experience:
IC
Job Summary:We are looking for a Project Manager to drive delivery of Data & AI initiatives across client engagements.This role focuses on end-to-end execution of projects ensuring timelines quality and stakeholder expectations are met. The individual will work closely with architects AI leads and e...
Job Summary:
We are looking for a Project Manager to drive delivery of Data & AI initiatives across client engagements.
This role focuses on end-to-end execution of projects ensuring timelines quality and stakeholder expectations are met. The individual will work closely with architects AI leads and engineering teams to deliver data platforms and AI solutions in structured and predictable ways.
The role requires the ability to operate in fragmented delivery environments often involving staff augmentation models and multiple stakeholders and bring clarity ownership and execution discipline.
Experience
812 years of overall experience in technology delivery
36 years of experience managing Data / Analytics / AI projects
Proven experience handling multi-team or multi-vendor delivery environments
Key Responsibilities
Project Delivery & Execution
Own end-to-end delivery of Data & AI projects (data pipelines platform implementations AI use cases)
Define project plans milestones timelines and deliverables
Track progress manage dependencies and ensure timely delivery
Execution Governance
Establish and manage project governance (status tracking reporting risk management)
Identify and proactively manage risks issues and blockers
Ensure alignment between scope timelines and resources
Managing Fragmented Teams
Manage delivery across staff augmentation-heavy teams and multiple vendors
Bring structure to loosely aligned teams by defining clear ownership and ways of working
Drive accountability without always having direct reporting control
Stakeholder Management
Act as the primary point of contact for project-level communication
Provide clear structured updates to stakeholders
Manage expectations and handle scope changes effectively
Collaboration with Technical Teams
Work closely with Solutions Architects AI Leads and engineers to align execution with solution design
Ensure dependencies across data AI and platform teams are managed effectively
Practice Alignment
Contribute to improving delivery playbooks templates and governance frameworks
Identify opportunities for reuse (accelerators templates) from ongoing projects
Core Skills (Must Have)
Project Management
Strong experience in managing end-to-end project delivery
Ability to create structured plans and drive execution
Strong in risk management issue tracking and reporting
Data & AI Awareness
Basic to good understanding of data platforms analytics workflows and AI/ML concepts
Ability to engage with technical teams and understand dependencies
Familiarity with platforms such as Databricks or Snowflake is preferred
Execution in Complex Environments
Experience managing projects with distributed teams vendors and staff augmentation models
Ability to bring structure and clarity in ambiguous or loosely governed setups
Stakeholder Communication
Strong communication and coordination skills
Ability to manage stakeholders across business and technology
Delivery Mindset
Focus on outcomes timelines and quality
Ability to push teams and drive accountability
Nice to Have
Experience working on AI or GenAI-driven projects
Familiarity with Agile / Scrum and hybrid delivery models
Exposure to cloud platforms (Azure AWS)
Experience in financial services or regulated environments
What We Are Not Looking For
Pure coordinators without ownership of delivery
Candidates without exposure to data or AI projects
Profiles limited to status reporting without driving execution