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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Delivery Lead - LPIP173 - **Company:** Techdata Service Company LLC - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Salary:** $228,800.0 - $249,600.0 - **Contract:** Contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Data Systems, Python (Programming Language), Machine Learning, Software Product Management, Software Engineering, Software Requirements Analysis, SQL Databases, User-Centered Design, Delivery Pipeline, Technical Debt, Information Technology, Atlassian Tools, Data Analytics, Data Management - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=05b9e1ead9bced3b ## About the Role * Master's degree in Data Science, Computer Science, Information Technology, Engineering, or a related discipline. * 7+ years of experience leading complex Data, Analytics, AI, or digital product initiatives. * Strong experience with R&D and/or Medical data transformation within the pharmaceutical or life sciences industry. * Demonstrated success in Data & AI product management, program delivery, project management, and portfolio management. * Experience translating scientific, clinical, medical, or business needs into scalable technology and data solutions. * Strong knowledge of Agile product development and the software development lifecycle. * Experience leading complex cross-functional initiatives involving both business and highly technical teams. * Strong stakeholder management skills with the ability to influence senior business, scientific, and technology leaders. * Experience developing and executing change management strategies that drive technology adoption. Technical Knowledge The ideal candidate will bring strong knowledge across several of the following areas: Data & AI: Data analytics, data management, AI, machine learning, and data product development. Technology: Cloud platforms including AWS and Azure, software engineering concepts, technical architecture, and solution design. Development & Analytics: Familiarity with SQL, Python, modern data platforms, and the AI/ML development lifecycle. Product Delivery: Agile methodologies, product roadmaps, KPI development, user-centered design, prioritization, experimentation, and technical debt management. Collaboration: Experience working with tools and platforms such as JIRA and Confluence. ## Description * Serve as a strategic Data & AI partner to R&D and Medical leadership, translating business challenges into high-value data products and AI-enabled solutions. * Develop and manage strategic Data & AI roadmaps, product portfolios, and delivery pipelines. * Identify and prioritize high-impact use cases based on business value, strategic importance, technical feasibility, and organizational readiness. * Lead the full lifecycle of Data & AI initiatives-from discovery and requirements definition through solution design, MVP development, scaling, adoption, and operational handoff. * Act as Product Manager and Delivery Lead for strategic Data & AI initiatives, defining product vision, roadmaps, priorities, KPIs, and measures of value realization. * Build and lead cross-functional teams involving R&D, Medical, Data Science, AI/ML, Data Engineering, Software Engineering, Architecture, UX/UI, and external delivery partners. * Partner with technical teams to assess data feasibility, architecture, platform capabilities, security, compliance, and delivery approach. * Ensure delivery is completed on time, within budget, and with a strong focus on quality and measurable business value. * Drive adoption of new Data and AI products through stakeholder engagement, communication, training, and structured change management. * Maintain executive-level communication regarding progress, risks, strategic opportunities, challenges, and business outcomes. * Support data quality, consistency, integrity, governance, and responsible use of R&D and Medical data. * Participate in steering committees and governance forums for strategic Data & AI initiatives. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)