What are the responsibilities and job description for the Data/AI SME position at Manpower Group Inc.?
We are seeking a highly experienced Data Architect with a strong Data / AI background to partner with our client in the Raleigh-Durham area.
Pay : 80-90 / Hr W2
6-month contract with possible extension
Hybrid work model, with 3 days / week onsite.
About the Role :
Our client is building a cutting-edge decentralized data platform, empowering individual business units to manage their data within their respective domains. You will play a critical advisory role, collaborating with stakeholders to co-create the platform's roadmap. This includes :
Defining the future state : Identifying key initiatives, strategic goals, desired solutions, and target capabilities.
Gap analysis : Assessing the current platform's strengths and weaknesses to pinpoint areas for improvement.
Data Governance and Security : Focusing on sensitive data management (PII / PHI), including data identification, classification, policy implementation, and data quality management. This includes establishing quality rules, measuring them against thresholds, and publishing results.
Data Catalog Enrichment : Managing and maintaining a central repository of data products, ensuring accurate metadata, accessibility, and thorough documentation. This includes onboarding new data products, partnering with data stewards, and enriching catalog entries.
Key Skills and Experience :
Data / AI Expertise : Proven experience as a consultant in the Data / AI space, ideally with exposure to Generative AI applications and LLMs.
Roadmap Development : Demonstrated ability to collaborate with stakeholders and develop strategic roadmaps.
Stakeholder Management : Exceptional communication and interpersonal skills to effectively engage with client leaders across various domains.
Data Governance : Deep understanding of data governance principles, including security, privacy, and regulatory compliance (especially PII / PHI).
Data Quality : Experience in defining, implementing, and monitoring data quality rules.
Cloud Experience : Familiarity with cloud environments, particularly AWS.
Life Sciences / Pharma Domain Knowledge : A strong understanding of the Life Sciences / Pharmaceutical industry is highly desirable.
Bonus Points :
Experience with data cataloging tools (e.g., Collibra).
Experience with data warehousing and cloud ecosystems.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
