AI Enablement Manager operationalizing and executing AI initiatives aligned with enterprise roadmap at medical technology company. Collaborating with cross - functional teams for structured delivery and governance.
About the role
- Leads design and architecture of enterprise AI solutions for automation at The Bancorp Bank. Integrates machine learning and data-driven decisioning into workflows for intelligent automation.
Responsibilities
- Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
- Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
- Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
- Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
- Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
- Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
- Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
- Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
- Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
- Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
- Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
- Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
- Performs other duties as assigned.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
- Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
- Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
- Proven ability to lead complex, cross-functional technology initiatives.
- Experience integrating AI capabilities into operational workflows and automation platforms.
- Strong understanding of model risk, data governance, and regulatory considerations within financial services.
- Advanced degree (Master’s or PhD) in AI, Data Science, or related discipline preferred.
- Experience with NLP, document intelligence, and predictive modeling techniques preferred.
- Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems preferred.
- Familiarity with enterprise AI governance frameworks and model lifecycle management preferred.
- Strong understanding of cloud-based AI architecture and API-driven integrations preferred.
- Exceptional stakeholder engagement and ability to translate technical concepts into business value preferred.
- Experience building or scaling intelligent automation programs within financial services preferred.
- Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations preferred.
- Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.
Benefits
- No travel required.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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