Beijing, China
Actively hiring, first seen by us 8 days agoManage AI demand intake, use-case evaluation and prioritization
Own the People data warehouse as business data owner
Supervise data engineering services from Tech teams and service providers
Lead the HR AI Community and champion network
Design role-based learning journeys, workshops and hands-on enablement
Manage demand intake, use-case evaluation and prioritization
Own the People data warehouse as business data owner
Supervise data engineering services delivered by Tech teams and service providers
Lead the HR AI Community and champion network
Design role-based learning journeys, workshops and hands-on enablement
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
University degree in business, technology, information systems, engineering, HR or a related field
Business fluency in English and Mandarin is required
Strong stakeholder management and communication in a multinational, matrix environment
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 8
Similar jobs usually come down between day 6 and day 52.
At Mercedes-Benz Group, jobs usually come down by about day 28.
From 1,770 similar postings that came down, and 79 of Mercedes-Benz Group’s. Coming down is not always a hire.
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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 (SLAs, backlog, acceptance testing). Language: Business fluency in English and Mandarin is required; German is a plus.
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New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
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.
Task:
1.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.
2.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.
3.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.
4.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.
5.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.
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 (SLAs, backlog, acceptance testing).
Language: Business fluency in English and Mandarin is required; German is a plus.
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Beijing, China
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