Pa Advanced Analytics Lead
vor 6 Monaten
**PA Advanced Analytics Lead**:
**Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future. At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.**:
The ABB Process Automation Data and Analytics Department (PA-DA) mission statement is to “improve the PA business performance through Data, Analytics and Artificial Intelligence”. PA-DA provides various data and analytical products and services to the Process Automation divisions (like data warehouse platform, data products, analytics products and data management services). PA-DA is starting a new service in the field of operation of Advanced Analytics solutions, and we are looking for the global Advanced Analytics practice leader.
**Your responsibilities**:
- Develop and implement a comprehensive AA operations strategy that aligns with the organization's vision and business goals. Evaluate emerging AA technologies and trends to identify opportunities for competitive advantage.
- Oversee AA migration projects from inception to completion, ensuring they meet quality standards, timelines, and budget constraints. Collaborate with cross-functional teams to ensure seamless integration of AA solutions into the business processes.
- Act as the primary liaison between the AA team and other departments, executive leadership, and external partners. Communicate AA concepts and benefits effectively to non-technical stakeholders.
- Integrate AA solutions operation with PA Data and Analytics service desk.
- Train a coach young team members.
- Collaborate with educational institutions in the selected AA fields.
**Your background**:
- Min. 5 years of AA relevant experience.
- Min. 3 years of experience in R&D or IT/IS service delivery.
- Data science practitioner working with structures, semi-structured and unstructured data.
- Sound knowledge and experience of AA tools like Python or Microsoft Azure data services, or snowflake data platform.
- Cloud technologies experience (Azure, GCP or similar).
- Leadership background.
- Managing external vendors and suppliers.
- Mathematical, statistical, data science or relevant education (MS or PhD).
- Service or project management knowledge is a plus.
- Working with educational institutions in the field of AA research.
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