Position Title:  Data Enablement Manager

Position Title:                      Data Enablement Manager

Reports to:                          Director Data & Analytics

Organization:                      Data & Analytics

Philip Morris International: Building a Smoke-Free Future

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide.

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.

The Role

The Data Enablement Manager leads the engineering and operational excellence of Japan’s Enterprise Cloud Data Platform, ensuring scalable, secure, and reliable data foundations for analytics, digital products, and web applications. The role owns data pipelines, APIs, and platform services, driving high engineering standards, reusable patterns, and strong alignment with global architecture. It also provides technical leadership to teams and partners across functions to deliver production‑ready, business‑impacting data solutions.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following.

Data Pipeline & Platform Engineering

- Lead the design, build, and optimization of ETL/ELT pipelines for Japan’s Data Platform.

- Enforce ingestion/processing standards and maintain platform SLOs with proactive monitoring, alerting, and incident response.

- Automate data ingestion and operations to ensure timely, reliable data availability.

- Run MLOps (model/feature pipelines, deployment, monitoring, lifecycle) to productionize ML solutions.                                                                                                                                                        

Architecture, Governance & Alignment

- Align solutions with enterprise architecture; leverage the latest platform capabilities.

- Represent Japan in the global Architecture Review Board for inputs and approvals.

- Define and enforce engineering standards & best practices (modular design, testing, code reviews, version control).

- Ensure security, compliance, and privacy by design.                                                                                           

Data Products & Web Application Enablement

- Enable data products and web apps with scalable datasets and reusable data services.

- Collaborate with product/engineering to meet requirements across React/Angular/.NET and cloud (e.g., AWS).

- Lead API & microservices design (contracts, SLAs, versioning) for performant, secure integrations.                                                                                    

Data Quality, Integrity & Stewardship

- Set and enforce data quality standards; ensure high availability and integrity for analytics and reporting.

- Maintain data flows for local applications/master data tools and plan migrations to global platforms.

- Implement metadata, lineage, and access controls to support trust and auditability.

- Ensure compliant data storage/processing aligned to legislation and company policies.                                                                                                                                                         

Cross‑Market Synergies & Pattern Re‑use

- Identify reusable patterns across markets and drive adoption of shared components.

- Build and maintain reusable frameworks (pipeline templates, API patterns, data contracts).

- Promote standardization to accelerate delivery and reduce cost/complexity.

- Import proven practices from other markets to benefit Japan.                                                                                       

Stakeholder Engagement & Delivery

- Partner with stakeholders to prioritize data requirements and deliver fit‑for‑purpose solutions.

- Ensure platform services meet consumer expectations for stability, scalability, and integration.

- Provide transparent status, trade‑offs, and recommendations to business and technology partners.                                                                                                                                                                

Agile Delivery & Governance

- Own the engineering backlog; balance pipelines, APIs, apps, and enabling work.

- Plan and run sprints; define “done” criteria and enforce documentation/quality gates.

- Track delivery health (throughput, defects, uptime) and drive continuous improvement.

- Manage risks, dependencies, and escalations with clear, timely communication.                                                                                                                                                                      

People Leadership

- Provide technical leadership and mentorship; grow engineering capabilities.

- Foster a culture of engineering excellence, accountability, and continuous improvement.                                                                     

QUALIFICATIONS

• 7–10+ years of experience in data engineering, data platform management, or cloud data infrastructure roles.
• Experience leading data engineering teams or managing technical deliverables in complex environments.
• Strong knowledge of ETL/ELT pipeline design and orchestration tools (Airflow, DBT, ADF, Matillion, etc.) and ability to guide teams in best‑practice implementation.
• Demonstrated experience working with cloud data platforms (Snowflake, AWS, Azure, GCP) and designing scalable data architecture solutions.
• Strong SQL and data modeling expertise, with experience shaping data lake/lakehouse architectures.
• Solid understanding of data quality frameworks, governance, and metadata management to ensure trusted and reliable data assets.
• Experience with master data concepts and designing data integrations supporting web applications and enterprise platforms.
• Proven ability to define and enforce security, compliance, and data privacy standards across data solutions.
• Proficiency in Python or similar scripting languages to support automation and engineering best practices.
• Familiarity with CI/CD, DevOps, and infrastructure‑as‑code concepts to support modern engineering operations.
• Experience governing or supporting model deployment pipelines, feature pipelines, and production model monitoring.
• Experience enabling BI solutions through well‑structured datasets and understanding of tools such as Power BI or Tableau.
• Working understanding of modern application frameworks (React, Angular, .NET) and API/cloud integration patterns to support scalable data‑driven products.
• Fluency in English (required); Japanese proficiency is an advantage.

WHAT WE OFFER

 Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• • Seize the freedom to define your future and ours – we’ll empower you to take risks, experiment and explore
  • Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong
  • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress
  • Take pride in delivering our promise to society: to improve the lives of a billion smokers

PMI is an Equal Opportunity Employer.