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About the role

Overview: As a Product Architect Senior Manager, you will lead and hands-on guide a cross-functional team to build AI-powered products for pharmaceutical clients on AWS. You’ll partner with Product Managers to shape roadmaps, establish AI-first development practices, and ensure robust testing and governance. You’ll manage offshore teams across data science, engineering, QA, and DevOps, translating analytics into client value and scalable solutions. This role combines technical leadership with strategic advisory to drive transformation in pharma analytics. Compensation / Benefits medical dental vision 401k holiday pay vacation time/to sick leave
Responsibilities: Own onshore technical direction for the product portfolio and collaborate with Product Manager on roadmaps and feasibility Champion an AI-first engineering operating model with automated testing, evaluation, and deployment Define a testing and quality strategy for AI products, including ground-truth gates and regression coverage Set release gates with validated ground truth and accuracy thresholds in partnership with SMEs Manage LLMOps in production: monitoring, token usage, cost control, and safe version upgrades Evaluate new models against benchmarks and advise on adoption for client delivery Embed secure-by-design practices across the lifecycle and lead client security reviews Design AI output for auditability with traceability and human review Lead and mentor offshore teams across data science, full stack, QA, and DevOps Make architectural decisions on reusable platform versus client-specific configurations Hands-on code reviews, prototyping, and removing blockers for the team Collaborate with client IT, integration, and security teams on integrations and sign-offs Represent engineering in client conversations, articulating business value Lead workstreams applying data analysis to inform decisions and support client goals Deliver analytics using Adobe platforms, SQL, Python, Power BI, Tableau, and related tools Translate business questions into measurement strategies, KPI frameworks, and reporting approaches Build data pipelines and ensure data quality for accurate analysis Apply statistical modeling and predictive analytics to identify trends and risks Advise stakeholders on analytics approaches and present clear recommendations Coach teams through complex deliveries while coordinating multiple workstreams Collaborate with marketing and commerce tech efforts to align analytics with transformation objectives
Key requirements: Bachelor's degree or higher 7+ years of experience senior-level client advisory experience across Adobe transformation programs strong analytical, problem-solving, and stakeholder management abilities leadership coaching communication AWS Adobe Salesforce

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