Key Responsibilities:

Lead the planning, execution, and delivery of AI and Data Engineering projects across multiple teams and stakeholders.
Define project scope, goals, deliverables, timelines, and success metrics.
Manage project budgets, resources, and risks to ensure on-time and high-quality delivery.
Coordinate cross-functional teams, including data scientists, engineers, analysts, and product owners.
Develop and maintain project documentation, dashboards, and status reports.
Identify and mitigate project risks and issues proactively.
Facilitate agile ceremonies (daily stand-ups, sprint planning, retrospectives).
Ensure compliance with data governance, privacy, and security policies.
Work with stakeholders to prioritize backlog items and manage change requests effectively.
Drive continuous improvement in project management methodologies and delivery processes.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
Minimum 12 years of total experience, with at least 3-5 year managing AI/ML or Data Engineering projects as technical PM.
Proven experience in managing projects using Agile/Scrum or Hybrid methodologies.
Strong understanding of AI/ML lifecycle, Data Pipelines, ETL processes, Cloud Platforms (AWS, Azure, GCP), and Big Data technologies (Spark, Hadoop, Databricks, etc.).
Excellent communication, stakeholder management, and leadership skills.
Experience using project management tools (e.g., Jira, Confluence, MS Project, Trello, Asana).
Ability to translate complex technical topics into clear business language for executive stakeholders.
PMP, PRINCE2, or Agile/Scrum Master certification.
Exposure to MLOps, Model Governance, or DataOps frameworks.
Prior Experience in Presales & Solutioning is highly required
Experience working in banking/financial domain
Strong communication & stakeholder management skills.
Excellent organizational and multitasking abilities.
Collaborative mindset with the ability to manage global, cross-functional teams.

Project Manager (Data & AL/ML)