Enterprise Technology/Telecom is looking for an individual with accomplished professional experience to manage a Telecom Business team consisting of eight hourly Cast Members.  In this role, you will lead a team that consists of procurement, financial and mobility operations. 

This position requires a candidate who has a positive attitude and is passionate about service, support, and developing a talented team. The ideal candidate is a thought partner who is highly motivated and a self-starter. The Telecom Business Manager must have a strong background in accounting and finance to address operational and financial risk associated with technology Managed Service Providers (MSP).

The Telecom Business Manager reports to the Senior Manager of Telecom & Network Services.

Responsibilities:

• Grow and develop a talented team of hourly Cast Members in Telecom

• Partnering with executives, stakeholders, and technical team members to shape project reporting and forecasting, and provide perspective on the economic benefits

• Financial Management (LTP, AOP, ACP) - review, analyze and present to Management and Executives through partnership with senior leaders and finance

• Responsible for analysis, facilitation, reporting and providing recommendations for process improvement, improving quality, optimizing costs, and establishing appropriate process metrics and process controls thus driving outcomes and decisions.

• Prepare dynamic messages for different audiences including management and other high-level executives

• Identifies and interprets trends and patterns in datasets to locate influences and drive process improvements

• Works with process owners and stakeholders to design a future-state business process that is better suited to the goals of the program or initiative

• Engages leadership and other departments to obtain support and buy-in for changes

• Ensure Service Now (SNOW) metrics and operations support of mobility users are monitored and responded to

Qualifications:

• 5+ years’ experience as a Sr Analyst with 3+ years demonstrated experience in finance, data analysis or business processes

• Must possess strong quantitative and analytical skills combined with solid business and financial acumen

• Advanced Excel abilities (Nested statements, pivot tables, charting, combining functions like Index, Match, Offset, and Indirect)

• Oversees the building of analyses, data visualizations, and multi-functional reporting that provides critical support to the operations and decision-making

• Strong relationship building skills and a highly professional “client service orientation”

• Charismatic, dynamic, and effective communicator, able to leverage influence without authority to meet high profile and dynamic objectives

• Must be an excellent team player who possesses solid interpersonal and organizational skills

• Flexible, special-projects orientation coupled with solid multi-tasking abilities

• High energy level, strong work ethic, self-driven, independent thinker who is results-oriented and decisive

• Accustomed to managing large scale, multi-million, multi-year, highly matrixed projects

• Strong written and verbal communication skills to convey data and analysis to internal and external customers; effectively able to extract and explain the “story” from the data

• Intermediate knowledge of the features, functions, and transaction processes in SAP

• Intermediate knowledge of SQL, R and or SAS to business analysis

• Proven success collaborating with a range of partners while understanding multiple perspectives

• Ability to participates in and lead change management activities associated with process improvement.

• Engages leadership and other departments to obtain support and buy-in for changes. 

• Partners with management, project champions, and process owners to align process improvement initiatives with business objectives.

Required Education:

• Bachelor’s Degree from a 4-year college in Accounting, Finance, Data Analysis; professional certification desired but not required (ITIL, PMO and or IIBA) or equivalent work experience

Preferred Education:

• Graduate degree in Data Analytics, Technology, Finance, or related field (MBA, MSA, etc.)

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