Sr. Engineering Manager Digital AI

Job Description Summary Women’s Health and X‑ray is accelerating its digital transformation by expanding our portfolio of AI‑powered SaaS solutions. These new digital applications will build on our global footprint of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X‑ray systems—elevating traditional hardware into intelligent, connected platforms that unlock greater clinical insights and operational efficiency. To bring this vision to life, we rely on strong cross‑functional leadership across our global engineering teams in North America, China, and Bangalore. This role plays a pivotal part in unifying these teams, driving alignment, and delivering breakthrough digital solutions that redefine the future of diagnostic imaging. As the Sr. Engineering Manager, Digital AI, you will apply deep technical, domain, and process expertise to lead execution across multiple complex and interconnected programs. You will establish and uphold engineering and delivery standards, ensure projects are completed on time and within scope, and champion high‑quality outcomes. A core part of this role includes validating new concepts and technologies through rigorous scientific and engineering methods—translating innovation into scalable, real‑world impact. Job Description Roles & Responsibilities Lead and develop a multidisciplinary engineering team—including software, data science, [... source excerpt omitted ...] identifying emerging technologies, driving process improvements, and supporting scalable digital growth. Collaborate closely with product, clinical, and business teams to define requirements and ensure delivery of high‑value AI‑powered products. Validate new concepts and technologies through rigorous scientific and engineering methods, ensuring feasibility and alignment with long‑term strategy. Required Qualifications Master’s or PhD in Computer Science or a STEM field and 4+ years of experience developing complex technology products, or a Bachelor’s degree in a STEM field with 8+ years of relevant experience. Hands‑on experience developing or delivering AI‑driven products. D [... source excerpt omitted ...] erience coaching, developing, and mentoring technical talent. Background in healthcare product development or regulated quality systems (e.g., medical devices) is a strong plus. Customer‑focused mindset with the ability to translate customer needs into product improvements and new opportunities. Strong analytical and problem‑solving skills with the ability to anticipate barriers and formulate pragmatic solutions. Demonstrated ability to lead change, improve processes, and balance multiple priorities in fast‑moving environments. Experience managing data pipelines, data quality, or data‑centric engineering processes. Experience deploying production‑grade AI/ML models at scale