Staples - Framingham, MA
posted 6 months ago
About the position
Join the Staples Enterprise Data and AI team as a Senior Manager - Technical Product Management and be part of our Transformative Leadership in Driving Business Success through Innovative Data Solutions. This key role is responsible for executing a comprehensive data strategy to drive business objectives. You will partner with key business stakeholders and all data teams including AI/ML, Analytics, Data Engineering, and Data Platform, plus other key partners like Application Engineering to ensure the organization leverages data effectively to make informed decisions. In this position, you will streamline and optimize data-related processes and workflows for efficiency. You will define key performance indicators (KPI's) and metrics to measure the effectiveness of the data strategy. Collaborating with executives, business leaders, and cross-functional teams to understand their data needs and strategic objectives is essential. Staying abreast of industry trends, emerging technologies, and best practices in data management and analytics will allow you to identify opportunities to leverage new technologies including Data Science, AI, ML, and Generative AI to enhance the organization's data capabilities. You will spend significant time with customers, homing in on successful patterns and trends to drive new product design and development. Partnering closely with engineers and scientists, you will build models, APIs, services, and complex systems at scale. Additionally, you will assist with sprint planning and backlog curation, serve as the primary liaison to business stakeholders, and translate business requirements into action roadmaps and plans for the science and engineering teams. You will also design and lead the technical delivery of analytical products consumed internally by the business, including self-service analytics, ad-hoc analytics, internal algorithms, and self-service event instrumentation.
Responsibilities
- Streamline and optimize data-related processes and workflows for efficiency.
- Define key performance indicators (KPI's) and metrics to measure the effectiveness of the data strategy.
- Collaborate with executives, business leaders, and cross-functional teams to understand their data needs and strategic objectives.
- Stay abreast of industry trends, emerging technologies, and best practices in data management and analytics.
- Identify opportunities to leverage new technologies including Data Science, AI, ML, and Generative AI to enhance the organization's data capabilities.
- Spend significant time with customers to identify successful patterns and trends for new product design and development.
- Partner closely with engineers and scientists to build models, APIs, services, and complex systems at scale.
- Assist with sprint planning and backlog curation with science and engineering teams.
- Serve as the primary liaison to business stakeholders, acting as their voice to the science and engineering teams.
- Translate business requirements into action roadmaps and plans for execution by the science and engineering teams.
- Design and lead technical delivery of analytical products consumed internally by the business.
Requirements
- Bachelor's Degree or equivalent in Data Science, Computer Science, Business Analytics, or related field.
- 10 or more years in leading analytics, machine learning, and AI initiatives, with a track record of successful project delivery.
- Proven experience in a leadership role focused on data strategy, AI, and ML practices.
- Hands-on experience in developing and leading large data and data science organizations across multiple business domains.
- In-depth knowledge of data governance, analytics frameworks, and emerging technologies.
- Demonstrated ability to lead and inspire high-performing teams.
- Exceptional strategic planning and communication skills.
Nice-to-haves
- Previous retail and eCommerce industry experience is a plus.
Benefits
- Health insurance
- 401k
- Paid holidays
- Flexible scheduling
- Professional development opportunities
- Employee discount programs
