Manager AI Innovation & Deployment for Segmentation

Philip Morris International; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Philip Morris International is seeking a senior ML/DS engineering leader to own the delivery, scalability, and performance of AI-driven consumer segmentation across markets. You will shape the data science platform, establish robust MLOps practices, and coordinate releases with cross-functional teams.

The role requires extensive experience in ML engineering, data engineering, and team leadership, with a strong background in databases and Python/R.

Qualifications

• 7-10 years of experience in ML engineering and/or data engineering.
• Strong experience with MLOps and cloud environments.
• Strong experience with AI/ML deployment environments.
• Experience managing technical teams and/or contractors.
• Understanding of databases and data modelling, including Oracle, Microsoft SQL Server, MySQL, and programming languages such as Python or R.
• Exposure to data science and statistical methodologies.

Responsibilities

• Define and oversee Data Science Framework ownership, development and deployment.
• Drive innovation and scalability of AI solutions and readiness across markets.
• Manage MLOps, deployment pipelines, and ensure reliability of the data science framework.
• Lead Data Science Enhancements program, prioritise backlog and ensure timely delivery.
• Supervise contractors and ensure knowledge transfer with GBS and FTE teams.

Skills

System architecture thinking

Delivery focus

Stakeholder collaboration

Problem-solving mindset

Strong technical expertise

Tools

MLOps

Cloud environments

Python/R

Oracle

MS SQL Server

MySQL

Job description

Be a part of a revolutionary change!

At PMI, we’ve chosen to do something incredible. With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver, better, brighter solutions in a space that allows you to move your career forward in endlessly different directions.

Why Join Us

In this role, you will be at the center of building and scaling AI-driven consumer segmentation capabilities across markets. You will drive the technical foundation behind advanced analytics and AI solutions, ensuring reliable deployment, strong governance, operational excellence, and business impact. Working closely with cross-functional stakeholders, you will help shape the future of AI-enabled consumer engagement while driving innovation, scalability, and continuous improvement across the organization.

Role Purpose

Own the delivery, scalability, and performance of AI-driven consumer segmentation and NBA capabilities, acting as the backbone of the AI platform and ensuring efficient deployment across markets.

Key Responsibilities

Data Science Framework Ownership & Development

• Define data science modeling standards and best practices across training, validation, deployment, and monitoring.
• Ensure models are scalable across markets, reproducible and maintainable, and aligned with PMI architecture and AI standards.
• Act as the Single Point of Contact (SPOC) for Data Governance, Data Privacy, and Compliance.
• Own code quality and scalability across markets.
• Inform requirements for data science platform development and the deployment roadmap for AI readiness in collaboration with the CDP Product Group.

Innovation & Scalability

• Identify new tools and technologies to support AI adoption and AI readiness.
• Measure and improve data science code and framework efficiency.
• Drive the continuous evolution of data science frameworks in collaboration with internal and external stakeholders.

MLOps & Deployment

• Manage new model deployment pipelines.
• Maintain all existing consumer segmentation products.
• Ensure the reliability and performance of the data science framework.
• Coordinate data science releases across markets.

Data Science Enhancements Program Leadership

• Own backlog prioritization for data science feature enhancements based on business value, market readiness, data availability and quality, and compliance constraints.
• Align prioritization with the Consumer Segmentation team and CDP Product Group.
• Ensure timely delivery of the backlog.
• Be responsible for bug fixing, code releases, and on-call support for the CDP Product Group.

Contractor & GBS Management

• Supervise contractor work.
• Ensure knowledge transfer between contractors, GBS, and FTE employees.
• Own data science documentation and code versioning.

Background & Experience

• 7-10 years of experience in ML engineering and/or data engineering.
• Strong experience with MLOps and cloud environments.
• Strong experience with AI/ML deployment environments.
• Experience managing technical teams and/or contractors.
• Understanding of databases and data modelling, including Oracle, Microsoft SQL Server, MySQL, and programming languages such as Python or R.
• Exposure to data science and statistical methodologies.

Key Competencies & Skills

• Strong technical expertise.
• System architecture thinking.
• Delivery focus.
• Stakeholder collaboration.
• Problem-solving mindset.

Our commitment to inclusion

PMI is on a continuous journey to ensure that all of our employees feel welcome and feel that they belong. We have a number of internal networks that are inclusive and open for anyone to join, including networks covering employees from ethnic minority backgrounds, LGBTQ+ and gender. We’re also extremely proud to be the first global company to be awarded Equal Salary Certification. We take wellbeing seriously, so we have trained mental health First Aiders to help support our employees, as well as support in the form of our LifeWorks app and Employee Assistance Programme. PMI is an equal opportunities employer, hiring solely on merit and business need. We encourage applications regardless of sex, gender identity, ethnicity, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy, parenthood and disability. If you require reasonable adjustments in any recruitment process with us, please make us aware.