Hitachi Vantara has announced that the company’s channels leader Phil Teague will be exiting the company as a result of a business and go-to-market restructure, including channel program amendments.
The company says the amendments are designed to facilitate increased customer service - specifically regarding catering for evolving data needs with new solutions offerings - while allowing the vendor to work more closely with its partners.
The company says the new program is set to replace more than six existing programs, providing increased simplification and flexibility for all partners.
Hitachi Vantara says it regrets that the changes they are making, however, come at an impact to Teague's position, who departed at the end of March.
Teague served as the company’s A/NZ industry and alliances solutions director since June 2013, with previous roles as RSA’s general manager of channels and alliances as well as a variety of roles with EMC.
In an email to partners, Hitachi Vantara A/NZ VP Nathan McGregor says, “Phil has been dedicated to our channel market in support of the overall ANZ business objectives and I thank Phil enormously for his leadership over the past 5 years.
“I know the team will continue that dedication to our partner network.”
Hitachi Vantara says its updated partner program will provide partners choices in how they wish to engage with the vendor based on four different competencies - being Data Infrastructure, Data Governance & Intelligence, Cloud and Big Data Insights & IoT - and four business models (Resell, Create, Manage, Deliver).
It says additional benefits of the program will include;
- Alignment of training and certifications with competencies.
- Increased emphasis on joint business planning.
- More tools for greater efficiency and productivity.
- Increased empowerment and improved self-service and automation.
The vendor says as partners grow their business, embrace new skills and specializations and evolve delivery models, the program is designed to make it easier to add new competencies or business models.