Director of Product Management - AI and Data

September 4

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Compliance • Human Resources • International Business • Global Business Expansion • International Legal Expertise

1001 - 5000

Description

• Spearhead strategy and execution of AI & Data products disrupting the global employment industry. • Define and execute product vision and strategy for AI and Data initiatives. • Lead market analysis and identify opportunities to implement AI technologies. • Collaborate with teams to develop and launch products integrating AI capabilities. • Build relationships with customers and industry partners to drive development of product features. • Manage the product team focusing on outcomes and user value. • Employ continuous learning through product performance metrics and user feedback. • Stay informed on emerging trends in AI and Data, integrating where beneficial. • Advocate for ethical AI practices and ensure compliance with regulatory standards. • Manage and mentor a team of skilled product managers and data scientists. • Foster a collaborative and innovative team environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Machine Learning, Business, or a related field. • 10+ years of product management experience, with at least 5 years specifically in AI and/or Data products. • Strong understanding of AI and Data technologies and their commercial applications. • Proven track record of delivering AI and Data-driven products with a focus on solving real customer problems in a competitive market environment. • Strong analytical and problem-solving skills, with an exceptional ability to merge user needs with business goals to create compelling product strategies. • Inspirational leader with outstanding communication skills, capable of motivating diverse teams and fostering an environment that values innovation and experimentation. • Experienced with Agile and Lean methodologies, thriving in environments that prioritize fast-paced, iterative development cycles and quick pivots based on learning. • Extensive knowledge of current AI and Data trends and industry best practices. Recent GenAI product experience is a definite plus, but other AL/ML or Data Science-driven product experience is welcome. • Technical background in Data Science, Computer Science, Engineering, or a related field is advantageous but not mandatory.