Dell
AI/ML Data Science Product Manager
This job is now closed
Job Description
- Req#: R235459
- You will create, design and implement product vision and architecture for our AI, Machine Learning and NLP solutions; Plan, manage, and communicate the product vision, releases and features to stakeholders, leaders, and the development team and bring a strong product to the market
- Be Product Manager / Product Owner directly interacting with a cross-functional development team in our agile development environment
- Design and build connected data models and algorithms to answer business questions and estimate the causal impact
- Collect user feedback and derive product requirements from ML/AI practitioners and application engineers, prioritizing investment areas accordingly
- Conduct analysis to size AI/ML opportunities leveraging several business metrics, convert ideas to hypothesis for experimentation
- 16 years of related experience - or 5 years with a PhD or 8 years with a Master's or 12 years with a technical Bachelor’s degree; related work experience in Computer Science, Machine Learning, Natural Language Processing or a related field
- Experience defining product vision, strategy, product roadmaps and creating and managing backlogs, including design and abstract thinking, and articulating and validating product hypotheses as a Product Manager or Product Strategist within a technology company that deals with complex technology and multiple stakeholders, building business cases and winning roadmaps, with a proven track record in making delivery commitments, managing customer expectations, and delivering on commitments
- Excellent communication and presentation skills, and demonstrated ability to influence, persuade, learn from and work collaboratively with others; Self-motivated and results-oriented with a passion for leading-edge technologies
- 3+ years of experience managing user requirements and user stories, calculating stories, tracking the delivery process, and managing software projects using CA Agile Central (Rally) or Jira, or similar Agile Tools
- Experience/exposure to Machine Learning, Artificial Intelligence
- Graduate degree in data science, statistics or computer science or related technical field, and MBA
- Advanced AI/ML experience
AI/ML Data Science Product Manager
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.
What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as AI/ML Data Science Product Manager on our Global Process Engineering and Data Sciences team, based in Austin/Round Rock Texas.
What you’ll achieve
We are looking for an experienced AI/ML Data Science Product Manager to join our team and help us build innovative products that use artificial intelligence and machine learning.You’ll think like an entrepreneur, identifying important problems, partnering with internal customers to define impactful solutions, selling your business case and then measuring the business results of your efforts. You will research and gain a deep understanding of AI technologies and create thought leadership and articulate our strategy on AI & Intelligent Automation in our industry. Leveraging cutting edge AI & Intelligent Automation technologies, you’ll design solutions which will deliver real business value. Building prototypes to demonstrate feasibility of AI technologies, and developing tools and services for the practical application of AI to create business solutions will be part of your work. You will shepherd and own implementing AI solutions, and leverage data available to train AI algorithms, improve the accuracies of these algorithms:
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
Desirable Requirements
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 28th Feb 2024.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.About the company
Dell Technologies is a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information.
Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.
Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.
An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.