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Director of Product Management – Retail Merchandising Optimization
| Company | CVS Health |
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| Location | New York, NY, USA |
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| Salary | $144200 – $288400 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- At least 10 years of work experience in the digital technology and/or AI/ ML space
- At least 5 years of Product Management experience in building user-facing products that are based on algorithms or AI/ML model recommendations
- Experience leading cross-functional teams, including Data-science and UX design
- Strong technical background or have equivalent experience in algorithm-based products
- Demonstrated success in handling an end-to-end product lifecycle with the ability to drive product planning, development, and launch
- Excellent written and oral communication and data presentation skills, with ability to communicate technical concepts / solutions to business partners
- Thrive in fast-paced environments and balance delivery of MVPs with an unwavering commitment to world-class products
Responsibilities
- Own the end-to-end product lifecycle of transforming what promotions will be planned and run in 7000+ CVS stores
- Lead product development from ideation to technical development to full-scale release
- Work within a cross-functional team of business stakeholders, data scientists, designers, analysts, data engineers and developers to align on product priorities
- Develop a short and long-term roadmap for our products by leveraging user feedback, market analysis and strategic understanding
- Distill a myriad set of strategic priorities and complex algorithmic insights, and then simplify them into user-centric product requirements
- Communicate progress and roadmap across share progress and/or to gain acceptance of new or enhanced technology / business solutions
Preferred Qualifications
- Experience in the retail merchandising domain expertise including areas such as price optimization, category management, assortment optimization, product clustering, product price sensitivity and promotion affinity evaluation, localization
- Experience with data science/ analytic processes and techniques such as development of measurement methodologies, statistical significance testing, rules-based and machine learning modeling, and data visualizations
