Global AI & Data Technology Lead

The primary responsibilities of this role, Global AI & Data Technology Lead - Global Vegetable Seeds Product Supply, are to:

• Define and execute the AI, data, and analytics technology roadmap, ensuring alignment with Product Supply strategy and enterprise digital direction;
• Identify, prioritize, and implement business use cases best suited for AI-enabled solutions, focusing on opportunities with clear value, feasibility, and scalability;
• Lead a team of data science and data analytics resources, establishing best practices, overseeing project resource allocation, and aligning work with business priorities;
• Provide technical leadership across data platforms, cloud environments, integrations, and internally developed applications, ensuring solutions are robust, secure, and scalable;
• Guide architecture and solution design across AWS, Databricks, enterprise data platforms, and broader cloud ecosystems to enable modern, cloud-native capabilities;
• Establish best practices for data engineering, AI development, DevOps, governance, and solution scalability, embedding quality, reliability, and reusability into all deliveries;
• Lead the modernization of data pipelines, data products, and self-service analytics capabilities, enabling faster, more reliable access to high-quality data;
• Mentor and upskill analytics, engineering, and application development resources, building stronger technical capabilities across the broader DPE (Data, Platforms & Engineering) team;
• Partner with business leaders to translate opportunities and challenges into scalable digital and AI solutions that support supply chain, manufacturing, and operational goals;
• Evaluate emerging technologies and drive innovation across supply chain and operational processes, ensuring responsible adoption of AI, data, and automation;
• Develop reusable data products and AI-enabled business capabilities that can be leveraged across use cases and functions to accelerate future delivery;
• Measure and communicate the business impact of AI solutions, including improved efficiency, decision quality, and operational performance, and use these insights to guide future investments.

• 10+ years of experience in data, analytics, AI, software engineering, solution architecture, or related technical leadership roles;
• At least 4 years of people leadership experience, including coaching, mentoring, and developing technical talent;
• Proven experience delivering enterprise-scale data and digital solutions in complex, matrixed environments;
• Strong understanding of cloud architecture, data engineering, and modern analytics platforms;
• Experience with AI/ML, Generative AI, and intelligent automation initiatives, including design, implementation, and operationalization;
• Ability to influence stakeholders and effectively bridge business strategy with technology execution;
• Strong communication, leadership, and mentoring skills, with a track record of collaborating across diverse teams and geographies., * Experience with AWS, Databricks, and cloud-native solution development;
• Background in data engineering, API integration, and pipeline architecture;
• Experience with AI/ML, GenAI, and MLOps practices, including monitoring and lifecycle management of models;
• Exposure to supply chain, manufacturing, or operational analytics use cases;
• Experience with SAP, CSW, and other enterprise platform integrations;
• Familiarity with data governance and responsible AI frameworks;
• Experience in agile product delivery and digital product management, including iterative delivery and stakeholder engagement.

In this role, success is reflected in increased adoption of AI-powered decision support and automation; timely completion of data-driven project milestones; modern, scalable, and reliable data architecture; faster delivery of analytics and digital solutions; stronger technical capabilities across the DPE team; and measurable business impact through improved efficiency, decision quality, and operational performance.

Employees can expect to be paid a salary between $151,120.00 - $226,680.00 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors., Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Global AI & Data Technology Lead

Global AI & Data Technology Lead - Global Vegetable Seeds Product Supply

As the Global AI & Data Technology Lead for Global Vegetable Seeds Product Supply, you are responsible for designing, developing, and implementing artificial intelligence solutions that solve complex business problems; You work with machine learning models, natural language processing, computer vision, and other AI technologies to build intelligent systems that enhance decision-making and operational excellence; In this role, you collaborate closely with data scientists, software engineers, and business stakeholders to deliver cutting-edge AI solutions that drive tangible business value and shape the next generation of data-driven decision making across Product Supply.