#JR012649
casting. Define and develop processes to perform system and workload forecasting, modeling, and trending in support of the organizational global enterprise environment. Performance Analysis using internally developed and vendor tools to increase efficiency through automation and/or template utilization as appropriate. Identify and investigate cost reduction opportunities, efficiency improvements and methods to support technologies in our environments. Stays engaged with industry trends, products and service offerings, which are relevant to existing and emerging technologies.
Duties and Responsibilities
Proficient with Microsoft Office tools
Manage multiple projects with minimal support and continuing shifting priorities
Database and data warehouse/data lake concepts and experience
Strong knowledge and practical comprehension of corporate IT computing processes and methodologies
Working knowledge of IT platforms (compute, storage, network)
Brings prior experience to organize and define work for complex or ambiguous situations
Provides consultation, training, and knowledge sharing to associates
Actively contributes to domain body of knowledge
Provide mentoring to lower-level job roles as needed
Define technical strategies within the team and unit
Provide Support and technical expertise and guidance to other teams and towers
Lead and mentor high complexity assignments to other associates on the team
Establish strong relationships with teams and outsource partners through continuous dialogue and support
Enable team members to be successful by providing opportunities for continual learning and professional growth
Leadership and support to teams on platform agnostic strategies related to capacity methodologies
Define, engineer, and deploy automation solutions for capacity team supported processes
Perform Analytic Modeling tools used to right-size solutions
Provide support on designs for new client opportunities and technology refreshes
Principle transformation partner of enterprise and supported clients' IT processing technologies
Innovation thought leader on emerging technologies and automation solutions
Qualifications
Required - Typically requires a minimum of 12 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5-years' experience; or equivalent work experience
Preferred - Understands the competitive landscape from both a business and technical perspective
Travel % - 10%
Any reference to years of experience should be disregarded in the UK
JR012649