Data & AI Operation Lead

Job Description

Ensure the reliable, secure, and efficient operation of business applications and data platforms, guaranteeing service continuity and alignment with business priorities and strategic goals.

Key Responsibilities

• Oversee the end-to-end operations of business applications and data platforms, ensuring availability, performance, and continuous alignment with business requirements.
• Supervise all phases of the application lifecycle (deployment, evolution, maintenance, decommissioning), ensuring adaptability to changing business needs and technology evolution.
• Manage and coordinate AMS service providers, ensuring performance, cost control, and full compliance with SLAs/OLAs. Drive accountability and continuous service improvement.
• Lead the resolution of major incidents and critical issues, ensuring timely recovery, clear communication, and structured root cause analysis with preventive actions.
• Oversee change management processes, ensuring proper risk assessment, planning, and execution with minimal disruption to business operations.
• Ensure data pipeline stability and data quality by monitoring ETL processes, managing data incidents (e.g. discards), and enforcing data validation and quality checks.
• Define, monitor, and report KPIs/SLAs related to application and data operations (availability, latency, data freshness, incident resolution time).
• Identify improvement opportunities across operations, automation, and monitoring, and implement initiatives to enhance efficiency and user satisfaction.
• Act as the main point of contact for business and IT stakeholders, ensuring alignment on priorities, transparent communication, and effective escalation management.

Required Skills

• Experience managing modern data platforms and BI tools (e.g. Qlik, Power BI, Foundry, Snowflake, Databricks).
• Understanding of ETL/ELT processes, orchestration frameworks (ADF, DBT, DLTHub), and data observability practices.
• Familiarity with cloud environments and distributed data architectures.
• Strong knowledge of ITIL processes (Incident, Problem, Change, Service Request).
• Experience with ticketing tools (e.g. ServiceNow).
• Experience with monitoring tools and practices for applications and data pipelines (logs, alerts, KPIs).
• Ability to coordinate cross-functional teams and vendors, driving execution and accountability.
• Strong communication skills, with the ability to translate technical topics into business impact.
• Ability to manage competing priorities in a fast-paced operational environment.

EEO Statement

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.