Lead Product Manager - AI Enablement, Science Services (P2397)

Key Skills

Aartificial intelligence, Data science techniques, Effective communication skills, KPI, Leadership Skill, Product Management

Job Description

The LEAD PRODUCT MANAGER will combine technology and design to solve real customer problems in way that meets the needs of the business. You will work with your key stakeholders and partners to build the right things for our customers that deliver value to our business.

RESPONSIBILITIES:

• Value – ensuring solutions are distinctly valuable to our customers
• Viability – ensuring solutions are viable for various aspects of our business
• Stakeholder management – experienced in building and managing stakeholder relationships to influence and drive change
• Experienced level knowledge in the development and use of product data to inform product decisions – both quantitative and qualitative
• Deep understanding of customers/users problems, how they think and operate and the platforms/technology they use
• Deep understanding of the business domain, stakeholders, business processes and constraints in which your product(s) play
• Experienced in making priority decisions based on measurable value, given the usability, feasibility and viability
• Understand and communicate organization objectives, strategies and solution needs to the team to facilitate results (where collaborative/as colleague)
• Skilled in leading Discovery Process sessions with key stakeholders
• Clearly communicate the value of the of work being delivered
• Manage work with a product mindset – focus on outcomes (over outputs), problems to solve, the goals of your product and key metrics of success; give teams the freedom and responsibility to think of a strategy they believe will result in the best product for our clients; facilitate teams in setting up a process that supports them in building these products
• Lead the development, championing and evangelizing of a product vision, strategy and roadmap, based on value, viability and the needs of the business

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• Education: Bachelor’s degree or equivalent experience
• Minimum 5+ years relevant experience with the Data Science development lifecycle such as feature ops, autoML, model registration, model monitoring and feature drift, and abstraction packages such as KPI summarization and algorithm fairness
• Skilled in managing cross-functional platform development teams in an agile environment
• Strong understanding of Engineer and Data Scientists’ needs, best practices, and how we can make their lives easier through a relentless pursuit of user adoption and satisfaction
• Skilled in managing business priorities against design/user needs while delivering against product roadmaps
• Skilled in managing end-to-end platform product development and releases
• Stakeholder management skills – experienced in building and managing stakeholder relationships to influence and drive change
• Problem solving, critical thinking and analytical skills
• Planning, organizational and time management skills
• Comfort with ambiguity – remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks
• Exhibits qualities of and have proven to be a great teammate
• Verbal and written communication skills, ability to translate between business and technical
• Technical acumen – grasps the technical details to lead a team, product and/or program