Head of AI Solutions 6 Months Contract

JR-37572 - English(Proficient)

As Head of AI Solutions, the consultant will play a pivotal role in developing and executing our AI and data strategy to unlock the full potential of our IoT data. Thereby comprehending the future possibilities of AI for the Client and steer the development in the right direction. To obtain this, the consultant will lead a dynamic team of data engineers and data scientist.

Key responsibility is to ensure customer value creation for the Client's Business Divisions by leading the AI Solutions team to leverage data and AI technologies to ensure digital industry leadership. This should be done in close collaboration with stakeholders from business and the other development units in the Global Technology and Innovation organization.

Key Accountabilities / Responsibilities

• Lead the AI and data strategy development with the Client's Business Divisions to ensure cross-organizational alignment on data and AI in digital products and solutions.
• Set the direction for a team of AI specialists, Lead data scientists, Chief data analysts and Data engineers while ensuring prioritization of their tasks.
• Ensure that stakeholders are aligned and onboard with the AI strategy and data strategy that has been devised.
• Facilitate strong collaboration with other R&D functions at the Client and establish effective cooperation in developing new products for AI and data strategies.
• Ensure that AI development is protected by filing industry-specific patents - both to secure new applications and to ensure that our development is not in breach with third-party IPR
• Responsible for establishing efficient data pipelines to effortlessly collect, process, and analyze data, which includes managing data connectors and integrations.
• Ensure real-time and batch data is managed effectively to keep our insights up-to-date and accurate.
• Responsible for leading the team in implementing cutting-edge machine learning techniques such as federated learning and transfer learning, as well as supervised, unsupervised, semi-supervised and self-supervised learning for model training and in-depth data analysis. Including exploration of reinforcement learning for optimizing real-time decision-making.
• Lead the team in creating and overseeing digital twins used to simulate and analyze complex systems.
• Ensure the team make use of leading technologies like deep neural networks (DNNs), convolutional neural networks (CNNs), and graph neural networks (GNNs) to tackle complex problems in data domains such as time series data, spatio-temporal data, image data, etc
• Drive the adoption of ML/Ops practices to ensure the efficient deployment and management of AI models throughout its lifecycle

Key Success Factors

• Successful proof-of-concepts, pilot projects and production-ready AI and data-centered features.
• Ensure optimal conditions for transition various AI pilots into production
• Strong relationships with stakeholders and the business to ensure AI goals are achieved and properly prioritized in roadmaps.
• The department AI Solutions is recognized as the key development organisation wrt. AI in our digital offerings.

Posting, Reporting, and Work Relations

Main stakeholders:

• Head of Digital Development
• SVP & Head of Technology& Innovation

Collaborators:

• R&D managers in Digital Development
• Business owner in the 4 divisions of the Client's business units
• R&D managers of the two development instances in Grundfos
• Technology Innovation and Architecture & Modularization R&D manager of enterprise AI department in the IT organisation
• TI, IS
• Working with partners (academia, technology providers etc.)

Required Minimum Qualifications

• MSc in computer/data science or other relevant AI related education.
• +5 years of large-scale, hands-on experience with applied AI.
• +10 years of relevant work experience in business leadership and digital solutions preferably in the water technology industry.
• +5 years experience in Leading and developing people
• Experience working in cross-functional teams.
• Proven experience in project and change management
• Fluent in English verbal and written

Requirements

Required skills

Data Science

AI

Change Management

Data strategy

digital solutions

Project Management

Business Leadership

Computer Science

Languages

English