AI Project Manager
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We are seeking an experienced AI Project Manager to lead and deliver strategic Artificial Intelligence and Machine Learning initiatives within a banking environment. The ideal candidate will manage end-to-end AI programs, coordinate cross-functional teams, engage with business stakeholders, and ensure successful deployment of AI-driven solutions that align with the bank's digital transformation objectives.
Key Responsibilities
- Lead the planning, execution, and delivery of AI/ML projects across banking functions such as Risk, Compliance, Operations, Customer Service, Fraud Detection, and Lending.
- Collaborate with business stakeholders, product owners, data scientists, architects, and engineering teams to define project scope, objectives, and success metrics.
- Drive project governance, resource planning, budgeting, risk management, and stakeholder communication.
- Manage AI solution lifecycle including use-case identification, data readiness, model development, testing, deployment, and production monitoring.
- Track project milestones, dependencies, and deliverables while ensuring adherence to timelines and quality standards.
- Facilitate Agile ceremonies and ensure alignment with Agile/Scrum methodologies.
- Coordinate with data governance, security, compliance, and regulatory teams to ensure AI solutions meet banking regulations and internal policies.
- Monitor project KPIs and report progress to senior leadership and steering committees.
- Manage vendor relationships and third-party AI technology partners where applicable.
- Support change management, user adoption, and training initiatives for AI solutions.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
- 10+ years of project/program management experience, with at least 3 years managing AI/ML or advanced analytics initiatives.
- Strong understanding of AI, Machine Learning, Generative AI, NLP, Predictive Analytics, and Data Science concepts.
- Experience delivering technology projects within Banking or Financial Services organizations.
- Knowledge of AI platforms and cloud environments such as Azure AI, AWS AI/ML, Google Vertex AI, OpenAI, Databricks, or similar.
- Strong stakeholder management and executive communication skills.
- Experience with Agile, Scrum, Kanban, and hybrid project delivery methodologies.
- Proficiency in project management tools such as Jira, Azure DevOps, MS Project, or similar.
- Understanding of data governance, model risk management, privacy, and regulatory compliance requirements.
Preferred Qualifications
- PMP, PRINCE2, Agile, Scrum Master, or SAFe certification.
- Experience managing Generative AI initiatives involving LLMs, Chatbots, Copilots, Knowledge Management, or Intelligent Automation.
- Exposure to Banking domains such as Retail Banking, Corporate Banking, Risk Management, AML, KYC, Fraud Detection, or Treasury Operations.
- Familiarity with Responsible AI, Model Governance, and AI Risk Management frameworks.
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