Manager, Government Savings Operational Support
职位总结:运营支持经理负责领导政府储蓄行动 (529/ABLE/SFRP) 的质量监测,报告和分析的战术执行。该角色通过确保准确的报告,可操作见解和高品质的运营性能的一致交付来支持运营支持主任。管理员将监督一个专业化的小组分析师,专注于报告,数据质量,运营见解和解决服务团队。该角色负责执行运营报告策略,包括开发,维护和不断改进复发性和必要的报告和见解。管理员将利用 Power BI 和内部系统等工具以及人工智能支持的能力来减少手动数据准备,提高数据精度并增加整个报告流程中的自动化。管理员会在监测生产力,质量,SLA 遵守和运营效率等关键性能指标 (KPIs) 方面的绩效趋势方面发挥关键作用。这包括识别数据异常,突出风险和提供可行的建议以提高性能并减少手动效率。该职位还将重点关注通过建立反循环,确定错误的根本原因以及推动改善,从而提高准确性和降低对手动数据输入流程的依赖。第二节:工作功能,基本任务和责任 ·管理日常执行运营报告,包括每天,周刊和月度交付产能,质量,SLA 和绩效指标 ·监督负责报告,分析和数据质量支持的小组分析师;·确保领导层和业务合作伙伴提供的所有报告输出的准确性,一致性和及时性;·执行并不断改进使用 Power BI,内部工具和人工智能功能自动化报告解决方案;·通过确定和实施机械化的机会减少依赖于手动数据汇集;·监测关键绩效指标,识别趋势,风险和运营改善的机会;·向董事和高级利益相关者提供明确,基于数据的见解和建议;
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Section 1: Position Summary
The Manager of Operational Support is responsible for leading the tactical execution of quality monitoring, reporting, and analytics for Government Savings Operations (529/ABLE/SFRP). This role supports the Director of Operational Support by ensuring the consistent delivery of accurate reporting, actionable insights, and high-quality operational performance. The Manager will oversee a small, specialized team of analysts focused on reporting, data quality, operational insights and resolution services team.
This role is responsible for executing the operational reporting strategy, including the development, maintenance, and continuous improvement of recurring and as needed reports and insights. The Manager will leverage tools such as Power BI and internal systems, along with AI-enabled capabilities, to reduce manual data preparation, improve data accuracy, and increase automation across reporting processes.
The Manager will play a key role in monitoring performance trends across key performance indicators (KPIs) such as productivity, quality, SLA adherence, and operational effectiveness. This includes identifying data anomalies, highlighting risks, and delivering actionable recommendations to improve performance and reduce manual inefficiencies.
This position will also focus heavily on quality and control oversight and continuous improvement by establishing feedback loops, identifying root causes of errors, and driving improvements that enhance accuracy and reduce reliance on manual data entry processes.
Section 2: Job Functions, Essential Duties and Responsibilities
- Manage the day-to-day execution of operational reporting, including daily, weekly, and monthly deliverables across productivity, quality, SLA, and performance metrics
- Oversee a small team of analysts responsible for reporting, analytics, and data quality support functions
- Ensure accuracy, consistency, and timeliness of all reporting outputs provided to leadership and business partners
- Execute and continuously improve automated reporting solutions using Power BI, internal tools, and AI-enabled capabilities
- Reduce reliance on manual data aggregation by identifying and implementing automation opportunities
- Monitor key performance indicators and identify trends, risks, and opportunities for operational improvement
- Provide clear, data-driven insights and recommendations to the Director and senior stakeholders
- Establish and maintain quality monitoring processes to ensure data accuracy and integrity across reporting
- Develop and maintain feedback loops to communicate performance results, quality issues, and improvement opportunities
- Identify and analyze root causes of data quality issues and partner with operations and technology teams to implement solutions
- Support SLA reporting and ensure accurate tracking and communication of performance
- Collaborate with cross-functional partners to enhance reporting capabilities, data quality, and system functionality
- Assist in forecasting, capacity planning, and analysis through accurate and timely reporting support
- Maintain documentation of reporting processes, methodologies, and controls
- Ensure adherence to policies, procedures, and controls and maintain compliance with regulatory requirements
- Communicate insights, trends, and recommendations in a clear and actionable manner
- Support continuous improvement initiatives focused on reducing manual data entry and improving efficiency
- Responsible for protecting, securing, and proper handling of all confidential data
- Demonstrate organizational values including I-Client Service philosophy and Core Values of People Matter, Quality First and Integrity Always®
- Performs other duties as assigned
Supervision
- Performance management of a small team of analysts
- Provide direction, coaching, and development to team members
- Foster a culture of accountability, data quality, and continuous improvement
- Ensure team adherence to reporting standards, processes, and controls
- Participate in hiring and onboarding of team members
- Partner with leadership to prioritize work and manage team capacity
Section 3: Experience, Skills, Knowledge Requirements
- Bachelor’s Degree
- 5+ years of experience in operations, reporting, analytics, or financial services
- 2+ years of leadership or supervisory experience
- Experience with reporting tools such as Power BI or similar platforms preferred
- Experience with data analysis, reporting automation, and process improvement
- Exposure to AI-enabled tools or advanced analytics capabilities preferred
- Strong analytical, problem-solving, and critical thinking skills
- Experience working with operational KPIs such as productivity, quality, and SLA performance
- Ability to identify trends and translate data into actionable insights
- Strong organizational, communication, and stakeholder management skills
- Ability to operate in a fast-paced environment with multiple priorities
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Originally posted on Himalayas