Director, Enterprise AI/ML Architect Position Available In Durham, North Carolina
Tallo's Job Summary: GSK Pharma Company is hiring a Director, Enterprise AI/ML Architect to lead AI/ML strategies, align technology investments with business goals, and drive innovation. Responsibilities include developing the company's AI/ML vision, integrating solutions into enterprise architecture, assessing technologies, and influencing senior leaders. Requirements include a Bachelor's degree, 8+ years of AI/ML strategy experience, and knowledge of core AI/ML platforms and enterprise architecture methodologies. Experience in enterprise data management and collaboration with diverse teams is preferred.
Job Description
Job Description:
Site Name:
Philadelphia Walnut Street, Durham BlackwellStreetPosted Date:
Apr 14 2025GSK Pharma Company is seeking avisionary and experienced AI/ML Enterprise Architect to join itsEnterprise Architecture team. This role will drive enterprise-levelAI/ML strategies, ensuring alignment with business outcomes,enterprise goals, and architectural principles. The AI/MLEnterprise Architect will work across multidisciplinary teams anddirectly influence the organization’s ability to leverage AI/ML forinnovation and transformation.
Role Overview:
Collaborates across business stakeholders, enterprisearchitects, and technical teams to orchestrate AI/ML strategiesthat align enterprise technology investments with businessgoals. Enables the organization to become AI/ML-driven by embeddingAI/ML capabilities as part of the enterprise architectureframework. Drives the creation and maintenance of enterprise-level AI/MLreference architectures, ensuring scalability, reusability, andstandardization across the organization. Provides strategic guidance on AI/ML platform selection,ensuring technologies align with enterprise strategies to enablesustainable innovation. Partners with senior leaders to align AI/ML strategies withoverarching business priorities, translating technical conceptsinto business value.
Key Responsibilities:
Strategy and Collaboration Develop and implement the company’s AI/ML vision and roadmap,working with stakeholders to identify opportunities where AI/ML candrive business outcomes. Collaborate with business architects to define success metricsfor AI/ML initiatives, ensuring outcomes are measurable and tied toenterprise objectives. Orchestrate contributions from multidisciplinary teams,including business stakeholders, data scientists, enterprisearchitects, and external vendors.
Enterprise Data and AI Integration Integrate AI/ML solutions into the broader enterprisearchitecture, ensuring that technology investments align withcompany-wide strategies. Collaborate with data architects to define and implement anenterprise data strategy that supports AI/ML initiatives. Maintain the AI/ML knowledge repository, ensuring consistencyand reuse of architecture assets.
Technology Assessment andGovernance Evaluate and recommend AI/ML platforms, tools, and technologiesfor enterprise use, ensuring they meet scalability, reliability,and compliance requirements. Establish and maintain AI/ML governance frameworks, includingrole definitions, architectural principles, and standards to ensurealignment with enterprise objectives. Monitor emerging AI/ML technologies and assess their potentialto drive business innovation.
Leadership and Influence Act as a thought leader to evangelize AI/ML adoption acrossbusiness units. Partner with senior leadership to translate AI/ML opportunitiesinto actionable business strategies and measurable ROI. Build and mentor an internal AI/ML architecture community,driving professional development and knowledge-sharing among teammembers.
Why You?
Basic Qualifications:
Bachelor’s degree 8+ years of experience designing and implementingenterprise-level AI/ML strategies. Experience aligning AI/ML initiatives with businessobjectives. Knowledge of core AI/ML platforms (e.g., AWS, Google Cloud,Azure) and enterprise architecture methodologies (e.g.,TOGAF). Experience in enterprise data management and its application inAI/ML initiatives.
Preferred Qualifications:
Experience collaborating with diverse teams, includingbusiness, data, and IT professionals. Familiarity with pharmaceutical industry regulations (e.g.,GxP, GDPR, Sarbanes-Oxley). Exceptional communication skills to present complex ideas totechnical and non-technical audiences, including seniorexecutives. Demonstrated ability to evaluate AI/ML technologies and assesstheir fit within an enterprise ecosystem. Experience driving AI/ML strategy in global, matrixedorganizations. #J-18808-Ljbffr