People AI Adoption & Data Management

Mercedes-Benz Group China Ltd.

Mercedes-Benz Group China Ltd., Beijing (Hybrid)

Job Type Full time

Experience 8+ years

Posted 22 hours 35 minutes ago

Hybrid 8+ years Level

Objective of job

Translate HR AI priorities into scalable products, capability-building programs and measurable business adoption. The role connects HR functions, AI communities and technology partners to manage the end-to-end AI initiative lifecycle. It also owns the People data warehouse and supervises data engineering services delivered by Tech teams, ensuring a reliable, compliant data foundation for analytics and AI. This is an AI transformation, product-enablement and data management role.

Tasks

AI Portfolio & Product Delivery — Manage demand intake, use-case evaluation and prioritization. Translate selected ideas into clear product concepts, business cases and delivery roadmaps. Coordinate pilots, testing, rollout and lifecycle reviews.
AI Community & Swarm Enablement — Lead the HR AI Community and champion network. Mobilize cross-functional swarms, create reusable practices and prompt/agent assets, and scale proven use cases across HR functions.
Data Warehouse Management & Data Engineering Oversight — Own the People data warehouse as business data owner: data model, source integration, data quality, access and documentation. Supervise data engineering services delivered by Tech teams and service providers, including backlog prioritization, requirements and acceptance, SLA monitoring, release/change control and issue escalation. Ensure AI- and analytics-ready data foundations.
Capability Building & Adoption — Design role-based learning journeys, workshops and hands-on enablement. Coach HR teams in effective and responsible AI use. Identify adoption barriers and drive sustained usage.
Ecosystem & Delivery Coordination — Coordinate with IT, Global/Regional teams and approved partners on technical feasibility, integration and delivery. Monitor AI trends and translate relevant practices into HR applications.

Qualifications

Education: University degree in business, technology, information systems, engineering, HR or a related field.

Experience: 8+ years of experience in data engineering, AI-enabled transformation, digital product management, innovation, consulting, HR transformation or technology-enabled change, including hands-on experience in data warehouse management, data platforms or data engineering service management. Proven delivery of cross-functional initiatives from ambiguous business need to implemented solution and adoption.

Skills: Strong stakeholder management and communication in a multinational, matrix environment. Fluent Chinese and English. Ability to prepare management-level materials and facilitate workshops. Preferred experience includes Generative AI, AI agents or enterprise AI products; community building and capability enablement; change, adoption and value realization; Agile delivery and product lifecycle management; Copilot, low-code automation or comparable AI platforms; data warehouse/data modeling concepts, ETL/ELT pipelines, SQL and data quality management; steering vendor or IT service delivery, including SLAs, backlog, acceptance testing.

Language: Business fluency in English and Mandarin is required; German is a plus.