We are seeking an experienced ICT Program Manager to lead initiatives that integrate artificial intelligence, automation, and advanced analytics into our financial and purchasing operations. This role sits at the intersection of finance, purchasing, technology, and project leadership—driving innovation, improving efficiency, and ensuring successful delivery of AI‑enabled solutions across the organization.
The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging purchasing trends using vast datasets across the enterprise.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.Role Responsibilities:
- Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.
- Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.
- Manage cross‑functional teams and external vendors to ensure timely delivery of AI solutions.
- Partner with business stakeholders in Purchasing and Finance to understand requirements and translate them into analytical solutions.
- Translate business needs into actionable AI use cases and technical requirements
- Develop project roadmaps, risk assessments, and mitigation strategies.
- Ensure solutions meet compliance, data governance, and security standards.
- Partner with Finance, Purchasing, Data, and Engineering teams to define project scope, requirements, and success metrics.
- Maintain strong data governance practices by ensuring data quality, lineage, documentation, and compliance requirements are clearly defined, consistently managed, and aligned with enterprise standards
- Bachelors in Computer Science, Engineering, Data Science, Finance/Purchasing or related field.
- Minimum 5 years of program or product management experience, including delivery of complex, cross functional initiatives
- Strong understanding of AI/ML concepts, including model lifecycle, data pipelines, training, evaluation, deployment, and monitoring (hands-on coding not required)
- Proven experience managing end‑to‑end programs, from ideation and planning through execution, launch, and post‑launch optimization
- Experience leading direct reports in application development, SIT/UAT testing, and project management.
- Experience managing project budget and external supplier engagements.
- Ability to translate business requirements into technical deliverables and communicate effectively with engineering, data science, legal, and leadership teams
- Experience working with large, complex datasets in enterprise environments
- Ability to communicate analytical findings clearly to technical and non‑technical audiences and Senior Leadership.
- Strong understanding of SAP configuration, master data, and business process flow
Preferred Qualifications
- Familiarity with data modeling, semantic layers, and enterprise data platforms.
- Industry experience in automotive and manufacturing
- Hands-on experience with Palantir Foundry, Snowflake Intelligence, and SAP HANA, SAP AI/Joule
Skills Required
- Bachelors in Computer Science, Engineering, Data Science, Finance/Purchasing or related field.
- Minimum 5 years of program or product management experience, including delivery of complex, cross functional initiatives.
- Strong understanding of AI/ML concepts, including model lifecycle, data pipelines, training, evaluation, deployment, and monitoring (hands-on coding not required).
- Proven experience managing end-to-end programs, from ideation and planning through execution, launch, and post-launch optimization.
- Experience leading direct reports in application development, SIT/UAT testing, and project management.
- Experience managing project budget and external supplier engagements.
- Ability to translate business requirements into technical deliverables and communicate effectively with engineering, data science, legal, and leadership teams.
- Experience working with large, complex datasets in enterprise environments.
- Ability to communicate analytical findings clearly to technical and non-technical audiences and Senior Leadership.
- Strong understanding of SAP configuration, master data, and business process flow.
- Familiarity with data modeling, semantic layers, and enterprise data platforms.
- Industry experience in automotive and manufacturing.
- Hands-on experience with Palantir Foundry.
- Hands-on experience with Snowflake Intelligence.
- Hands-on experience with SAP HANA.
- Hands-on experience with SAP AI/Joule.
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
