Role Overview:

We are looking for an experienced AI/ML & Personalization Project Manager to drive end-to-end delivery of AI/ML, GenAI, data science, customer personalization, campaign decisioning, and automation initiatives.

The role will coordinate business and technology stakeholders to ensure successful implementation, governance, operational readiness, and measurable business outcomes.

Key Responsibilities:

- Manage AI/ML, GenAI, data science, and personalization projects from requirement gathering and planning through development, testing, deployment, and post-production monitoring.

- Define project scope, timelines, milestones, dependencies, KPIs, risks, and delivery plans.

- Coordinate with business, marketing, data science, AI/ML engineering, technology, architecture, security, risk, compliance, and operations teams.

- Drive project governance, maintain project plans, RAID logs, status reports, and stakeholder updates.

- Coordinate AI model development, validation, experimentation, deployment, monitoring, and lifecycle management.

- Ensure compliance with AI governance, responsible AI, data privacy, security, regulatory, and model risk requirements.

- Drive customer segmentation, personalized campaigns, recommendation models, next-best-action strategies, and campaign optimization.

- Track project delivery and business outcomes, including customer engagement, conversion, revenue uplift, adoption, and operational efficiency.

- Manage vendor deliverables and ensure smooth transition of implemented solutions into BAU operations.

Required Experience & Skills:

- 8+ years of experience in project management, technology delivery, digital transformation, data, analytics, or AI-related initiatives.

- Proven experience managing AI/ML, GenAI, data science, personalization, customer analytics, or campaign optimization projects.

- Practical understanding of ML concepts, feature engineering, model validation, experimentation, MLOps, and model lifecycle management.

- Knowledge of customer segmentation, recommendation engines, propensity models, next-best-action, A/B testing, and campaign measurement.

- Understanding of AI governance, responsible AI, data privacy, model risk, security, and regulatory requirements.

- Strong stakeholder management, project planning, communication, risk management, and executive reporting skills.

- Experience with Agile, Scrum, Waterfall, or hybrid delivery methodologies.

- Banking, financial services, or fintech experience is preferred.

Preferred Tools & Certifications:

- Project Management: Jira, Confluence, Azure DevOps, MS Project.

- AI/ML Platforms: Azure AI, Azure Databricks, Azure Machine Learning, MLflow.

- Other Tools: ServiceNow, Microsoft Copilot, Python, SQL, Excel, and campaign management platforms.

- Certifications: PMP, PRINCE2, SAFe, Agile, PMI-CPMAI, or relevant AI/GenAI certifications.

Key Success Measures:

- Successful and timely delivery of AI/ML and personalization initiatives from ideation to production.

- Measurable improvements in customer engagement, conversion, revenue, and operational efficiency.

- Completion of governance, risk, security, and compliance approvals.

- Effective stakeholder management, adoption, and smooth BAU transition.