AI Product Owner

We are seeking an experienced AI/ML and Personalization Proxy Product Owner to drive the full lifecycle delivery of AI/ML, Generative AI, data science, personalization, campaign decisioning, and automation projects. This role requires leading cross-functional teams, managing the AI/ML project lifecycle, ensuring compliance with governance and regulatory standards, and translating complex business requirements into clear, measurable customer and business outcomes. The ideal candidate will be adept at coordinating diverse stakeholders and delivering innovative solutions that enhance personalization and campaign effectiveness.

Key Responsibilities

- Lead end-to-end delivery of AI/ML, GenAI, data science, personalization, and automation initiatives, ensuring alignment with business goals.
- Coordinate cross-functional teams including business, marketing, data science, AI/ML engineering, technology, architecture, security, risk, compliance, vendors, and operations.
- Manage project scope, timelines, milestones, dependencies, risks, budgets, and delivery plans while maintaining comprehensive governance documentation.
- Oversee the AI/ML lifecycle, including feature engineering, model evaluation, experimentation, MLOps, and ongoing lifecycle management.
- Ensure adherence to AI governance frameworks, responsible AI principles, model risk management, data privacy, cybersecurity, compliance, and audit requirements.
- Drive customer segmentation, recommendation and propensity modeling, personalization strategies, A/B testing, campaign measurement, and optimization efforts.
- Translate business requirements into analytical use cases, structured delivery plans, and measurable outcomes.
- Facilitate governance approvals, production readiness, deployment, monitoring, and smooth transition of AI initiatives to business-as-usual operations.
- Maintain strong stakeholder relationships through effective communication, risk management, executive reporting, and presentations.
- Apply Agile, Scrum, Waterfall, or hybrid delivery methodologies to manage project execution efficiently.

Required Qualifications

- Minimum of 8 years’ experience in project management, technology delivery, digital transformation, data, analytics, automation, or AI-related projects.
- Proven experience managing AI/ML, GenAI, data science, personalization, customer analytics, next-best-action, or campaign optimization initiatives.
- Practical understanding of machine learning concepts including feature engineering, model evaluation, experimentation, and MLOps.
- Knowledge of AI governance, responsible AI, model risk, data privacy, cybersecurity, compliance, and audit standards.
- Strong experience coordinating cross-functional teams across multiple disciplines.
- Ability to manage project scope, timelines, budgets, risks, and governance documentation.
- Experience translating business needs into analytical use cases and measurable outcomes.
- Proficiency in stakeholder management, communication, risk mitigation, and executive reporting.
- Familiarity with Agile, Scrum, Waterfall, or hybrid project delivery methodologies.

Preferred Qualifications and Benefits

- Certifications such as PMP, PRINCE2, SAFe, or Agile are highly desirable.
- Additional certifications in AI, GenAI, or PMI-CPMAI are advantageous.
- Experience working in banking, financial services, fintech, or other regulated industries is preferred.
- Familiarity with tools such as Jira, Confluence, Azure DevOps, MS Project, and ServiceNow or similar ITSM platforms.
- Exposure to Azure AI, Azure Databricks, Azure Machine Learning, MLflow, Microsoft Copilot, Python, SQL, and campaign management or marketing automation platforms is a plus.
- Demonstrated experience delivering AI initiatives from discovery and model development through production, adoption, performance monitoring, and benefits realization.

This role offers the opportunity to lead cutting-edge AI and personalization projects within a dynamic, regulated environment, contributing directly to enhanced customer experiences and business growth.