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Head of Advanced Analytics, Machine Learning and Artificial Intelligence
2 years ago
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We are hiring a Head of Advanced Analytics, Machine Learning and Artificial Intelligence with broad experience and deep expertise in developing and deploying analytics to solve problems and capture business opportunities. A global leader is sought to enable superior value creation at ABB.
You will be working as Head of Advanced Analytics, Machine Learning and Artificial Intelligence, reporting to Head of Corporate Financial Planning and Analysis and will be based out in Bangalore, India.
The Head of Advanced Analytics, Machine Learning, and Artificial Intelligence will set the long-term vision and leading the team of data scientists to execute on the strategy. You will partner with the leadership team in the Group and with the Data and Analytics leads of Businesses and will be an integral part of the ABB Data and Analytics Council. Above all, cultural fit is key to overall success. We are looking for a global leader with the ability to navigate complex environments to achieve ambitious outcomes, with a passion for growth, innovation and excellence. You will collaborate with business teams, be able to influence and partner cross-functionally. Knowledge of the ABB organization and embracing the ABB Way operating model is critical.
- Setting the vision, establishing effective partnership with key stakeholders and defining relevant operating models prioritization, resource allocation talent development and people management fostering the culture of innovation, high performance and high integrity
- Leading data science projects and Artificial or Machine learning products development aligned with business needs and delivering value. Leading data acquisition and understanding efforts for engineering projects using various tools and techniques
- Developing and applying ML frameworks, AI, best practices deploying business specific or scalable enterprise-wide solutions. Overseeing data analysis and modeling outcomes, ensuring the alignment to the desired outcomes, deciding on next steps (deployment, process improvement recommendations, new projects, products, etc)
- Designing and deploying operating models, ensuring demand management and delivery model in place
- Acting as a subject matter expert, driving improvements and encouraging research initiatives, sharing knowledge and fostering learning culture
- Providing customer-oriented insights and solutions by understanding the business models, functional processes, data and value drivers. Establishing, managing and delivering Service Level Agreements (SLAs) in collaboration with all relevant functions, including IS departments and other key stakeholders
- Cooperating with internal and external delivery units for innovation and continual improvement activities in service delivery processes. Ensuring that processes are operating at the right level
- Owning the service catalogue and updating service assets in the configuration management database. Collaborating with the relevant IS departments for maintenance of the catalogue
- Ensuring that work in the AI/ML department is compliant with all applicable ABB regulations and ABB Group guidelines. Ensuring that all internal controls are diligently followed and supervised in all departments
- Doctorate/Master’s degree/Bachelor’s in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- Atleast 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Atleast 10+ years of experience in people-management with a track record of building and developing successful data science teams
- Minimum 10+ years of customer-facing, global project-delivery experience, including exposure to international business development and complex partnership structures. Ideally in the manufacturing and engineering or technology companies
- Proven record to partner and influence C-level executives and delivering business value from developing and implementing advance analytics
- Expertise in deep learning and generative AI models with hands-on experience applying them in real-world scenarios Demonstrated current or recent coding, debugging and engineering skills in programming languages.Mining through data to develop observations and recommendations to improve business performance
- Knowledge on advancements and emerging research in foundation models. The cutting edge of current technologies, platforms, tools and methods committed to continuous learning
- Should be a strong team player, embrace challenges, and have a keen desire to learn, with a consistent track record of excellent performance
- Must have strong oral and written communication skills with particular emphasis on customers and senior