Manager AI Innovation & Deployment for Segmentation

Philip Morris International; Kraków; Hybrid; PLN 269,000 - 322,000; Full time

Benefits offered by this job

Private medical & dental care

Life insurance

Subsidized meals

Employee pension plan

Job summary

Philip Morris International in Kraków offers a hybrid work model with on-site days to advance data science maturity and AI readiness across the organization. You will own the Data Science Framework, set standards, and lead the deployment of scalable AI solutions.

Responsibilities include guiding model deployment pipelines, ensuring reliability, and coordinating releases across markets while collaborating with Consumer Segmentation teams.

Qualifications

• 7–10 years of experience in ML/engineering or data engineering.
• Experience leading technical teams, vendors, or external partners.
• Strong knowledge of MLOps and cloud platforms.
• Proficiency in Python or R and databases (Oracle, SQL Server, MySQL).

Responsibilities

• Own and evolve the Data Science Framework for AI readiness and scalability.
• Define architecture standards and code quality guidelines.
• Lead data governance, privacy, and compliance topics.
• Drive innovation by evaluating and implementing new AI, data science, and MLOps technologies.
• Design and manage model deployment pipelines and AI product releases.
• Coordinate technical releases across markets and ensure smooth deployment processes.

Skills

ML Engineering

Data Engineering

MLOps

Python

SQL

Cloud Platforms

Team Leadership

Stakeholder Mgmt

Analytics

Problem Solving

Tools

Oracle

SQL Server

MySQL

Job description

Poland: Hybrid, 8 days on-site per month

At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are building our future on one clear purpose-to deliver a smoke-free future.

With huge change comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

What You'll Do

• Own and evolve the Data Science Framework to ensure AI readiness, scalability, and performance
• Define architecture standards, code quality guidelines, and technical best practices
• Act as the technical lead for Data Governance, Data Privacy, and Compliance topics
• Drive innovation by evaluating and implementing new AI, data science, and MLOps technologies
• Design and manage model deployment pipelines and oversee AI product releases
• Ensure reliability, scalability, and continuous improvement of consumer segmentation solutions
• Partner with Consumer Segmentation and CDP Product teams to prioritize and deliver the development roadmap
• Lead backlog management, feature enhancements, bug fixing, and production support activities
• Coordinate technical releases across markets and ensure smooth deployment processes
• Manage contractors and technical documentation, while ensuring effective knowledge transfer and code version control

Skills & Capabilities

• 7-10 years of experience in ML Engineering, Data Engineering, or related fields
• Strong expertise in MLOps, AI/ML deployment environments, and cloud platforms
• Experience leading technical teams, vendors, or external partners
• Proficiency in Python, R, or similar programming languages
• Solid knowledge of databases and data modelling (Oracle, SQL Server, MySQL)
• Understanding of data science methodologies and statistical concepts
• Strong technical and systems architecture mindset
• Proven ability to deliver scalable data and AI solutions
• Excellent stakeholder management and cross-functional collaboration skills
• Analytical thinking with a strong problem-solving mindset

Rewards & Benefits

• Private medical & dental care
• Life insurance
• Subsidized meals
• Employee pension plan
• In this position you will earn no less that: Poland: 26500 PLN gross per month

Relocation support is not available for this job

At PMI we run the business in line with ethical principles and encourage SpeakUp culture. We care for equal chances and fair treatment. If you find anything that violates these principles in this job offer or the recruitment process, you may contact our Ethics and Compliance Team at [e-mail]. Read more about Ethics&Compliance at PMI – here

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