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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