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Staff Digital Specialist 

Purpose:

Enhance digital enablement processes with generative AI models and agentic workflows to speed up the design, launch and support of digital products that contribute to an automated end-to-end data and decisions centric pipeline.

Scope:

Global

Key Tasks:

• Define strategic plan for implementation of agentic workflows (including models) across the digital enablement framework (design, launch and support)

• Build robust rubrics and playbooks to quality check performance of AI models

• Make recommendations of frequency of quality checks and performance metrics

• Evaluate, test, govern, launch and support AI models and workflows that contribute to digital enablement

• Be a member of AI focused technical teams and projects where opportunities are defined and problems are framed up for AI suitable tasks

• Define best practices and develop change management processes to facilitate human and AI system collaboration and hand-offs as well as integration with existing workflows to drive digital strategy.

• Rapidly experiment, verify and set guardrails for AI output.

• Maintain current knowledge of the rapidly changing AI landscape and understand opportunities for cost or efficiency gains.

• Evaluate potential solutions with significant opportunity gains and define impacts and build proposals for adoption

• Work closely with business and IT partners to ensure alignment with enterprise strategic framework, timely delivery of required AI capabilities within budget;

• Acquire a deep understanding of end-to-end business processes and strategic imperatives;

• Identify growth opportunities for leveraging AI for advanced data analyses, digital systems and platform enablement;

• Engage both end users and business leads across functions then clearly represent and communicate the needs of the functions;

• Define and track project success metrics to ensure delivery of anticipated business capabilities;

• Problem-solve and prioritize high-value work related to Data Science and Engineering objectives

Key Working Relation:

o Scientists, breeders, testing and operations teams across Vegetable R&D globally (850+)

o Enterprise IT partners (100+)

o Bayer Functional Division team members (25+)

o APD team (25+)

Qualification & Competencies:

Education/Experience

• PhD +3 years’ experience, MS +6 years' experience or BS and 8+ years' experience in Data Science, Decision Science, or Data Engineering.

Skills (Technical & Soft)

• AI foundation and domain mastery with ability to execute code-based agentic workflows

• Ability to adapt in rapidly changing environment

• Demonstrated R&D domain knowledge in R&D with strong preference for agriculture sector experience;

• Thorough understanding of IT product pipelines;

• Experience with Agile methodologies and project management;

• Demonstrated matrix project leadership and proven ability to grow relationships independently with key partners;

• Excellent written and oral communication; complete proficiency in English with ability to coordinate and clearly communicate information between technical IT teams, scientists and business stakeholders;

• Excellent interpersonal, organizational and influencing skills, independent and cross functional problem solving which drive digital business solutions effectively with international and interdisciplinary teams;

• Demonstrated project leadership and influence skills that develop trusting partnerships with cross-functional teams, leading to lasting digital change.

Location:

Spain : Cataluña : Barcelona  

Division:

Crop Science 

Reference Code:

867111