Senior Manager, Enterprise AI

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    "city": "South San Francisco",
    "region": "CA",
    "country": "United States",
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{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "<div>\n\n<li>Execute the enterprise AI roadmap aligned with IT and business transformation goals</li>\n<li>Translate AI strategy into prioritized, outcome-driven use cases across manufacturing, supply chain, quality, and enterprise functions</li>\n<li>Drive adoption of AI across IT and business workflows with measurable ROI</li>\n<li>Define and implement scalable AI architecture leveraging Azure, Databricks, and enterprise data platforms</li>\n<li>Evaluate and deploy AI tools such as Microsoft Copilot, LLM platforms, and custom AI agents</li>\n<li>Integrate AI solutions with enterprise systems including SAP S/4HANA, Tulip MES, LabVantage LIMS, and Veeva QMS</li>\n<li>Design and deploy AI-driven solutions for: Digital manufacturing optimization (yield, scheduling, deviations), Supply chain planning and forecasting, Quality and compliance automation, IT operations and service management, &amp; Enable agentic workflows (“digital employees”) to automate repetitive processes</li>\n<li>Establish AI governance aligned with GxP, data integrity, and regulatory requirements</li>\n<li>Partner with InfoSec, Quality, and Legal to ensure responsible AI practices</li>\n<li>Define guardrails for data usage, model monitoring, and human oversight</li>\n<li>Partner with Engineering, Manufacturing, Quality, Supply Chain, TechOps, and Business teams</li>\n<li>Work closely with Enterprise Architecture, Data, and Integration teams</li>\n<li>Collaborate with external partners and system integrators</li>\n<li>Define KPIs and track adoption, efficiency gains, and cost savings</li>\n<li>Communicate AI outcomes to executive leadership</li>\n<li>Build dashboards and reporting for AI performance and ROI</li>\n<li>Mentor team members and build AI capabilities within IT and business teams</li>\n<li>Drive AI literacy and training programs across the organization</li>\n<li>Support GCC (India) team build-out for AI and data capabilities</li>\n\n</div>"
    },
    {
      "text": "Requirements",
      "content": "\n<li>Bachelor’s or Master’s degree in Engineering, Life Sciences, Information Systems, or related field</li>\n<li>7+ years of experience in enterprise IT, data, or AI/ML roles</li>\n<li>2+ years leading AI, automation, or data initiatives at scale</li>\n<li>Experience in architecting&nbsp; and deploying enterprise AI agents</li>\n<li>Experience with GenAI/LLMs and enterprise AI platforms</li>\n<li>Strong understanding of enterprise systems (SAP, MES, LIMS, QMS)</li>\n<li>Experience in regulated industries (biotech, pharma, manufacturing) preferred</li>\n<li>Knowledge of cloud platforms (Azure preferred), Databricks, and data architecture</li>\n<li>Strong stakeholder management and communication skills</li>\n<li>Ability to translate AI concepts into business value</li>\n<li>Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset</li>\n"
    }
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  "country": "US",
  "createdAt": 1775756392343,
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    "team": "IT",
    "location": "South San Francisco, CA",
    "commitment": "Full Time",
    "department": "Information Technology",
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