Sr. Product Ops Specialist

Product Operations is responsible for the development and commercialization of an offering portfolio by improving execution and governance of strategy and process. The Product Operations team works closely with Offering Managers and cross-functional departments, such as engineering/R&D, manufacturing/sourcing or software development, internal sales and field sales, marketing, as well as Honeywell senior executives to maximize the growth, development and return on investment of the organization’s product portfolio today and in the future.

The Sr. Product Operations Specialist role supports the Product Operations Leader in successfully managing the product data, data analytics and reporting for New Product Development and Portfolio Management. This role is based in Aguadilla, Puerto Rico and reports to the Director of Product Operations based in Phoenix, Arizona.

Key Responsibilities

• As Sr. Product Operations Specialist, you will be a team-lead in providing meaningful data analysis and own product data integrity to support the overall Honeywell New Product Development (NPD) Global Design Model (GDM), which will enable standardized and digitized processes within our business models to accelerate Organic Growth
• Drives strong new product development (NPD) management operating systems (MOS) together with the Product Ops team and cross-functional teams to ensure quality product data is entered on-time and maintained in the systems of record, identifying continuous improvement opportunities.
• Owns product data end-to-end throughout entire portfolio lifecycle by managing the product hierarchy (PH), product information master (PIM), and digital asset management (DAM) for assigned product lines
• Analyzes data and creates insightful, data-driven report outs to leadership to outline where improvement is needed in order to achieve organic growth goals
• Define framework for Accelerator digital architecture, driving continuous improvement activities while managing the change control process for all GDMs, and achievement of superior performance across all KPIs (Key Performance Indicators).
• Partner with Honeywell Commercial Teams to digitize business roadmaps and financial tracking in Tableau, Accolade, and similar data management systems to accelerate Organic Growth
• Develop Portfolio roadmaps backed by customer insights to identify potential new offering via partnership with senior leadership and constructively challenging “where to play” and “how to win” choices

YOU MUST HAVE

• Senior Professional with 3+ years of experience in Product Management, Finance, R&D/Engineering and/or other applicable business roles in Data Analytics, with a track record of demonstrated, recognizable results:
• Exceptional Data and Analytics Skills
• Experience managing global portfolio of offerings and driving Change Management
• High-school Education or GED Required

WE VALUE

• Bachelor’s Degree
• Experience in working in diverse projects across a matrix organization structure
• Ability to structure and independently lead cross-functional data analytics projects, working collaboratively with stakeholders across the company
• Experience with project planning, scoping, and execution in a phase-gate and/or agile environment
• Proven experience on continuous improvement, with the ability to think creatively, to anticipate problems and opportunities, and to be an effective change agent
• An understanding of Honeywell portfolio, processes, and workflows
• Proven experience with creating and managing a strong MOS
• Storytelling skills; delivering presentations with ease, engaging audiences
• Proven capacity to be effective in a complex global business environment. Ability to forge solid relationships and manage across broad and geographically dispersed businesses
• Ability to integrate critical information and champion advanced strategies / concept through the organization, Drives development of advanced technologies, principles, and processes.
• Willingness to learn and build expertise in key portfolio and data analytics tools (Accolade, Alteryx, Tableau, SAP, etc.)

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