PSDO Operations and Transformation Manager

PSDO Operations and Transformation Manager

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

   

Key Responsibilities:

Strategy & Leadership: Support and execute the organization’s automation and operations roadmap with alignment to business priorities. Identify targeted opportunities for automation and process improvement across operations. Collaborate with executives to align initiatives with business goals and operational excellence.

Implementation & Management: Oversee deployment of automation tools (including RPA and selective AI solutions) within existing operational workflows. Collaborate with digital and transformation teams to evaluate relevant technologies. Ensure smooth integration with enterprise systems and operational processes.

Optimization & Monitoring: Track operational metrics, including efficiency, quality, and ROI from automation initiatives. Continuously refine workflows using Lean and continuous improvement approaches to enhance speed and cost-effectiveness. Establish governance frameworks aligned with compliance and enterprise standards.

Team & Collaboration: Lead cross-functional teams including operations, engineering, and data resources. Provide training and support for adoption of new tools and process improvements. Foster a culture of accountability, continuous improvement, and pragmatic innovation.

Provides overall people-care management for direct reports, including hiring, performance management, coaching, and career development; strengthens organizational capability, fosters continuous learning, and supports adaptability to evolving business needs and technologies.

Communicates strategy, operational priorities, and roadmap updates to executive staff and stakeholders; leverages strong business and technical expertise to influence decisions, drive alignment, and support evolving organizational priorities. Manages headcount, deliverables, schedules, and costs across multiple programs, ensuring effective resource allocation and delivery against goals, timelines, and budgets while adapting to changing business priorities and managing ambiguity effectively.

Education and Experience Required:

• Bachelor's or Master's degree in Manufacturing / Computer Science, Data Science or related field.
• Requires at least 15+ years of relevant professional experience.
• Minimum 5 years of experience in automation, AI implementation, or digital transformation initiatives.
• At least 5 years of leadership or management or leadership experience.

Knowledge and Skills:

• Strong people leader experience in leading operations, strategic initiatives, global transformation programs, AI tools and automations etc.
• Strong background in AI, machine learning, and automation technologies.
• Core PLM Competency skills with SAP S4 HANA, PTC Windchill, Oracle Agile etc.
• PLM Process Knowledge: Extensive experience with PLM processes, methods, and tools, including CAD integration, Part, BOM, Document, and Change Management.
• Advanced leadership skills, including coaching, teambuilding, conflict resolution, and management.
• Superior business acumen, technical knowledge of multiple business units, and extensive knowledge in applications and technologies

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#unitedstates#operations

Job:

Engineering

Job Level:

Manager_2

    

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 135,000 - 310,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.