Demo

Solution Delivery Lead

DivIHN Integration Inc
Chicago, IL Full Time
POSTED ON 4/22/2025
AVAILABLE BEFORE 6/21/2025
For further inquiries regarding the following opportunity, please contact one of our Talent Specialists
Hema Malini at 630 847 0275
Prawin at 224 369 2969

Title: Solution Delivery Lead
Location: Chicago, IL
Duration: 2 Months (temp to perm.)
Assignment Synopsis: Experience with Data Science, Machine Learning Projects is highly preferred. This contacting role is expected to be converted to full-time employee.
Travel indicated 10%- would this be to other Client's sites or what would that entail? - Other sites, 2-3 times a year.
Job Summary:
We seek a highly motivated and skilled Solution Delivery Lead to join our newly established AI team. This individual will be crucial in bridging our AI initiatives' technical and project delivery aspects. The ideal candidate will have a strong technical background in data science, machine learning, or a related field and proven experience in coordinating complex projects and collaborating with cross-functional teams in the life sciences or technology industries. This role is initially an individual contributor (IC) position, reporting directly to the Head of the AI team, with the potential for future people management responsibilities.

Key Responsibilities:
Collaborate with AI scientists and engineers to understand project requirements, technical specifications, and deliverables.
Coordinate and organize AI projects, ensuring they are delivered on time and within scope.
Facilitate communication and collaboration between the AI team and other business units (e.g., R&D, product development, regulatory affairs).
Develop and maintain project plans, timelines, and documentation. (Experience with resource management is a plus).
Proactively identify and address potential project risks and roadblocks.
Contribute to the development of proof-of-concept AI solutions for medical devices.
Stay current with the latest advancements in AI, machine learning, and relevant medical device regulations (e.g., FDA guidelines, HIPAA).
Navigate interpersonal and departmental relationships effectively to ensure project success.
Identify opportunities to leverage AI to improve existing medical devices and explore new SaMD applications.
Work within an Agile/Scrum framework to manage project iterations and sprints.

Requirements:
Master or higher degree in data science, Machine Learning, Computer Science, Biomedical Engineering, or a related technical field.
3-7 years of experience in a technical role, with a proven track record of applying analytical skills.
Prior experience working in the life sciences industry (e.g., medical devices, pharmaceuticals) or a technology company specializing in soNware/ML algorithm development.
Demonstrated experience in coordinating and managing technical projects.
Strong understanding of data science and machine learning concepts and techniques.
Familiarity with Scrum and Agile development methodologies.
Excellent communication, interpersonal, and organizational skills.
Ability to work independently and as part of a team.
A proactive, problem-solving mindset with a passion for innovation.
Awareness of medical device regulations and standards.
Must be based in Chicago, IL, and willing to work in an office seLng.
Travel approximately 10% of the time.

Highly Desired:
Prior experience with SoNware as a Medical Device (SaMD) development.
Experience with resource and timeline management.

Top 3-5 Skills: Communication, Technical depth, and the ability to learn.

About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.

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