Director, AI Product Management

At MTM, we are not just colleagues; we are collaborators on a shared mission; communities without barriers. We have exciting opportunities to join our growing team where your work has a direct impact on the communities we serve. Our company culture is one of innovation, collaboration, and growth. If you are passionate, driven, and ready to join a team where your work will directly transform and shape our industry, then we want to talk to you!

What will your job look like?
The Director, AI Product Management, plays a key strategic role within the company’s organization and is accountable for the oversight and strategic alignment of AI Initiatives. Responsible for guiding the development, launch, and continuous improvement of AI-powered products or features. As a key leader, the Director, AI Product Management will be empowered to coach and mentor to continually grow an understanding of industry needs, AI, seek better outcomes, and challenge teams to focus on delivering innovative value to our stakeholders.

What you’ll do:

• Provide strategic alignment and coordination of product portfolio

• Work closely with Executive Leadership to educate leaders on the Product Life Cycle and align to the needs of the business

• Hold leaders accountable for the defined process

• Promote and deliver effective AI roadmap that aligns with strategic goals throughout the organization and to our candidates, employees and vendors

• Understand value targeting and objective setting for strategic goals

• Provide consultative coaching and guidance for product and service owners

• Ensure AI capabilities are implemented cohesively across different products with consistent user experiences

• Coordinate which AI models/vendors are used across products to maximize ROI and minimize redundancy

• Define vision for product organization

• Lead ideation, technical development, and launch of innovative AI products

• Define product roadmaps and schedules in collaboration with technical and business teams

• Regular measurement reporting

• Oversee and steer the product development process, ensuring compliance with budget, scope, and project timelines

• Work closely with engineering teams to ensure product functionalities are built to the highest standards

• Develop and implement product strategies tailored for AI technologies

• Facilitate the creation and maintenance of proper product documentation

• Drive and deliver outstanding customer experience for the MTM product suite

• Translate complex AI capabilities into user-friendly and valuable solutions for both businesses and consumers

• Participate in research exercises to provide leadership insight

• Promote AI literacy across the company to align expectations and ensure a shared understanding of what AI can and cannot achieve

• Collaborate with data scientists, engineers, and designers to develop and refine AI models and applications

• Conduct market analysis to identify trends and opportunities for AI applications

• Represent product management in cross unit leadership negotiations

• Create frameworks for sharing AI best practices, learnings, and risks across teams

• Ensure ethical AI practices

• Address concerns like data privacy, bias, and transparency

• Actively monitor work output of team to ensure value driven responses and outcomes

• Meet, coach and mentor direct reports at least once monthly; this can include providing or seeking feedback, setting expectations, updates and development opportunities

• Set and manage performance goals and monthly KPI’s for team

What you’ll need: 
Experience, Education & Certifications:

• High School Diploma or G.E.D

• Bachelor’s degree in Business, Computer Science, or related field, or equivalent experience

• Minimum of 6 years of hands-on experience with machine learning and AI algorithms 

• Minimum of 6 years’ experience in developing, deploying, and managing AI-driven solutions in clinical and operational settings 

• Experience in handling sensitive/confidential information

Skills:

• Strong knowledge of intricate technicalities of artificial intelligence (AI) and machine learning (ML)

• Understands data collection, modeling, testing, deployment, and ongoing monitoring

• Must possess a profound grasp of the ability to network and professionally grow industry relationships 

• Proven track record of innovation and product deliver