AI Innovations Project Specialist
Macom
Lowell, MA · Posted November 5, 2026
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Where Lowell, MA ranks
Where Lowell, MA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for mid-career professionals in New England57% · of 28
- #5Cities with the most hybrid jobs in New England19% · of 27
- #9Best cities for AI-skill jobs in New England12% · of 28
- #9Best cities for mid-career professionals in the Northeast57% · of 70
- #12Cities with the most hybrid jobs in the Northeast19% · of 69
- #13Best cities for AI-skill jobs in the Northeast12% · of 70
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
Role Summary MACOM is expanding its use of AI across engineering, enterprise platforms and business functions. The AI Innovations Project Specialist will plan, drive and deliver these initiatives from start to finish. The role connects the AI Innovations Office with functional stakeholders. It translates between technical capabilities and business needs, keeps projects on schedule and helps employees adopt new AI tools and ways of working. Key Responsibilities Project Management Own timelines, milestones, dependencies and status reporting for assigned AI initiatives. Run project governance cadences, including status meetings, steering updates and risk and issue reviews. Stakeholder Coordination Serve as the day-to-day liaison between the AI Innovations Office and business function leaders. Translate technical capabilities into business outcomes, and business needs into technical requirements. Requirements and Use Case Development Partner with business stakeholders to identify and document AI use cases. Prioritize use cases by expected ROI and define clear success metrics.