Symbotic is looking to transform HR and beyond by leveraging artificial intelligence to create intuitive, personalized, and human-centered experiences at scale, and the AI Transformation Manager will lead this effort.
Requirements
- Proficiency in generative AI, natural language processing (NLP), and machine learning concepts
- Familiarity with API integrations, automation scripting and advanced data visualization tools
- Strong understanding of HR processes, compliance requirements, and enterprise technology ecosystems
- Experience with AI-powered interactions and predictive insights
- Knowledge of HR technology platforms and systems
- Experience with data analytics and reporting
- Background in policy design and documentation
Responsibilities
- Define the enterprise HR AI vision and roadmap, inspiring stakeholders with a clear picture of what’s possible.
- Identify and prioritize opportunities where AI can radically improve HR service delivery, personalization, and decision-making.
- Translate complex business challenges into innovative AI use cases—spanning recruiting, onboarding, learning, engagement, performance, and workforce analytics.
- Build next-generation tools such as intelligent chat assistants, adaptive learning experiences, sentiment analysis platforms, and predictive workforce planning models.
- Integrate AI into platforms like Workday, ServiceNow, recruiting systems, and engagement tools with a focus on seamless, intuitive user experiences.
- Develop AI-powered dashboards and insights that move beyond reporting—forecasting trends, identifying risks, and enabling proactive decision-making.
- Use predictive and prescriptive analytics to inform talent strategies and business planning.
Other
- Bachelor’s degree in Human Resources, Information Systems, Computer Science, Data Analytics, or related field
- Minimum 8 years of HR technology experience, with at least 2 years leading AI/automation initiatives
- Exceptional communication, influence, and stakeholder engagement skills
- Hybrid schedule (minimum 3 days per week in office) based in Wilmington, MA office
- Up to 10% travel may be required
