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Director Of Product Management
Company | Workday |
Address | Vancouver, British Columbia, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-09-04 |
Posted at | 9 months ago |
Your work days are brighter here.
- Stakeholder Engagement: Engage with internal and external collaborators, including customers, to understand their needs, gather feedback, and ensure customer-centric product development.
- Product Roadmap and Prioritization: Develop and maintain a comprehensive product roadmap that aligns with the company's strategic priorities.
- Product Evangelism: Serve as a leader with vision and spokesperson for Workday's machine learning products.
- Product Development: Lead a team to deliver innovative and scalable machine learning solutions.
- Market and Customer Insight: Conduct market research and analysis to identify emerging trends, customer needs, and competitive landscape in the machine learning and artificial intelligence space. Engage with customers, prospects, and industry experts to gather insights and validate product strategies.
- Strategic Leadership: Define and drive the Financials Machine Learning product strategy, vision, and roadmap in alignment with the overall company goals.
- Cross-functional Collaboration: Collaborate closely with executive leadership, engineering, data science, design, and other cross-functional teams.
- Team Leadership: Build and mentor an impactful team of product managers and data scientists. Provide guidance, support, and career development opportunities to cultivate a culture of excellence and continuous learning.
- 7+ years of experience in product management, with a strong focus on machine learning and artificial intelligence
- 5+ years of experience in product management, with a strong focus on machine learning and artificial intelligence
- Strong Eye For Business and Customer Focus
- Outstanding written and verbal communication skills: Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Degree in Computer Science, Engineering, Mathematics, Physics, or an equivalent field.
- Technical Expertise: Solid understanding of machine learning techniques, algorithms, and frameworks. Experience with natural language processing, deep learning, computer vision, or related areas is highly desirable.
- Leadership Skills: Shown experience leading and developing successful teams.
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