Job description:
Are you passionate about tackling complex data problems? Do you thrive on using your analytical and cybersecurity skills to solve large-scale challenges? Are you intrigued by the intersection of complex business processes and data-driven approaches? If so, we'd love to hear from you!
At Schneider Electric, we are undergoing a transformative journey by leveraging Artificial Intelligence & Automation technologies to empower users with Machine Learning and Cognitive computing, driving business value. Simultaneously, as the number of cybersecurity threats continues to grow, we recognize the importance of having a comprehensive cybersecurity approach across our solutions to safeguard our business and customers.
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We seek a Data Quality professional to join our AI Digital Risk Leader & Data Officer team to drive the implementation of Data quality and governance in AI organization.
To ensure a cohesive Data governance implementation throughout our AI HUB, you will collaborate closely with AI Hub teams but also Autonomous spokes teams in NAM, GSC and central Data organizations.
Responsibilities & duties:
- Define the Data requirement for the business to start an AI project and support the adoption
- Consolidate data flow diagram from AI platform and AI use cases to build a global vision for the AI hub
- Understands how the data is defined, manufactured, identified, maintained, delivered and consumed.
- Drive the transition from datasets' exploration on data scientists' computer to Platform exploration.
- Lead Data Quality (DQ) methodology implementation at local level
- Responsible of Data Golden Rule for the AI HUB
o Authoritative source
o Referential
o Data Platform security
- Monitor time to access to data
o List the existing blocking point to access to data
o Drive Data Sharing Agreement between AI HUB and Business and Functions
- Co-build and drive Data awareness strategy within AI organization and communicate best practices to AI Data Community
- Be accountable for validating & monitoring Critical Data Elements
- Own the drafting and overall execution of the local DQ Plan
- Coordinate creation dashboards' creation for Data Health Monitoring
Qualifications
Skills Required:
10+ years of relevant experience in Data management.
- Be Well versed with common Data Quality issues and respective mitigation approach
- Good knowledge of data related regulatory requirements,emerging trends and issues that impact enterprise data governance
- Good knowledge of industry's best practices for setting up Data Quality standards and maintenance (Data Health, Data Quality, Master Data Management & Metadata Management)
- Extensive experience in Data Profiling, Data Analysis, Data Discovery and Source to Target mapping processes
- Relevantechnical skills to have day to day interactions with Data Architects and Datascientist.
- Experience with AI and ML technologies and services (Machine Learning, Conversational AI, Computer Vision, No Code / Low Code AI)
Soft Skills Required:
- Customer-oriented with a service-oriented attitude (flexible, personable, and approachable)
- Good stakeholder management and collaboration
- Strong written and verbal communication skills
- Strong organizational skills.
Ability to handle and to maintain confidential information.
Schedule: Full-time
Req: 008XL6