Staff Digital SpecialistWe are looking for a Staff Digital Specialist to work in a multinational company. Its products and services are designed to benefit people and improve their quality of life.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.Key Tasks & responsibilities: - 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 objectivesSkills & qualifications: - 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 inEnglish 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.