Work with business stakeholders to understand specific problem areas. Use data to validate and quantify the problem sizing
Frame business problems and use cases as product features enhancements. Drive alignment on above with business, data science, and engineering teams
Drive execution of product features with engineering, data Science and business partners from creating PRDs to validating the final deliverable before go-live to minimize adverse outcomes for business
Builds quantitative metrics and qualitative mechanisms to define and monitor the success of the product/deliverable. Identifies inefficiencies and drives resolutions by analyzing data.
Model compliance with company policies and procedures and support company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
What you'll bring:
You come with 5+ years of product management experience.
Experience with eCommerce or internet-based products or support services is a plus.
Experience with Supply Chain domain specifically Forecasting is preferred.
Ability to drive insights from data to influence business process and product features.
Excellent communication and stakeholder management.
Uncompromising commitment to the customer.
Ability to drive teams toward a shared vision with velocity and possess an indomitable bias toward action in the face of ambiguity.
Willingness to be bold - be undeterred by organizational obstacles and with a High tolerance for risk / low fear of failure.
Strong presentation and influencing skills and the ability to interact with executive level business and technical partners.
Excellent written and verbal communication skills with ability to champion product solutions throughout the organization.
Advanced/ masters degree in engineering or management is preferred.
Ability to pull, analyze and draw insights from data using any of the data analytics tools/software - SQL, Python, Power BI etc
Keyskills: Supply chain Business process Product management Networking Agile Support services Stakeholder management Forecasting SQL