Data Science Product Portfolio Manager (Remote, US)

at  ICAai

ABOUT ICA GLOBAL

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist firms with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we’re overjoyed at the opportunity to expand yet again! We offer a range of management solutions and technical services on domestic and international programs. We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. And if that isn’t amazing enough, ICA has established itself as a critical partner of the US Food and Drug Administration (FDA). We currently support multiple analytics and research programs with offices including the Center for Devices and Radiological Health (CDRH) and the Center for Veterinary Medicine (CVM).
We believe in our people! We support our high-performing team and encourage work/life balance. We strive to create and foster an environment of collaboration - one team. We care about our mission and delivering value that makes a real-world impact. We are committed to hiring and developing diverse, dynamic, and highly skilled teams into an atmosphere that is safe and inclusive. We are passionate about creating solutions that leverage technology, data science, and machine learning to help make our world a better place!
We are looking for a Data Science Product Portfolio Manager to join our growing team.

QUALIFICATIONS

• Masters or PhD in STEM Field, medical/healthcare science discipline or equivalent experience (Computer Science, Engineering, Mathematics. Physics, Statistics, etc.)
• Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, or as a product leader in a highly technical environment.
• 5+ years’ experience managing/delivering complex and technical products, preferably in the data science space
• Ability to plan strategies, create and track strategy implementation, track plans, activities, and milestones, coordinate activities and deliverables across the program team members, and report to executive leadership
• Ability to utilize an innovative mindset that applies to business, delivery, and solution models
• Knowledge of strategic planning, including refining vision statements, evolving organizational constructs to improve product and service delivery
• Knowledge of user experiences (i.e. drafting user stories to accurately capture the needs of users)
• Experience with delivering multi-disciplinary IT strategy, planning, implementation, and performance analysis to missions
• Strong technical capabilities with an understanding of how to appropriately document and deliver code
• Expertise in developing key project-related documentation such as proposals, executive briefings and presentations
• Exceptional communication skills, both written and verbal, with a strong ability to influence at an executive level
• Must have or be eligible to obtain a Public Trust Government Clearance
• Experience with Cloud-based solution implementation preferred

As a Data Science Product Portfolio Manager, you will help manage our data science product delivery in partnering with clients, organizing multi-project initiatives, and enabling technical solutions. The right candidate will be a key point of contact for clients, translate business goals into product solutions, manage expectations, provide executive briefs, and be responsible for the quality of all client deliverables and messaging to ensure projects achieve business value for our clients. You will drive the translation of novel data science approaches into high value product offerings for our clients. You will support the direction of program initiatives and work alongside the Director of Data Science, and both the technical and business development teams on the execution and delivery of AI and machine learning (ML) analytics products.