In this role, you will serve as a part of an IT Service Management (ITSM) team in a highly regulated environment supporting the this Chicago based Federal bank. The Sr. Business Analyst would lead and manage the IT Change Management and Problem Management practices of the organization and work across the IT landscape to perform change assessments, risk assessments, root-cause analysis, and impact analysis. Additionally, this position would work in a small agile team, using ServiceNow to deliver and maintain technology solutions that improve operational efficiency with a focus on process improvement and automation.
How youll make an impact:
Lead IT Change Management and Problem Management practices for the Bank
Work across the IT landscape to perform change assessments, risk assessments, and root-cause analysis to prevent potential impact to the Bank.
Institute governance to optimize IT processes and minimize long-term risk to the Bank.
Define metrics and analyze data to improve operational efficiency with a focus on automation opportunities for the Bank.
What you can expect:
Chair Change Management Advisory Board (CAB) meetings.
Perform change assessments, risk assessments, and impact analysis.
Define and measure success metrics to monitor the change and problem processes.
Analyze incident trend data and identify problem candidates.
Conduct root cause analysis on problems impacting the organization and proactively recognize where processes can be improved.
Work in an agile methodology and participate in agile ceremonies providing insight and expertise in level of effort, timeline, and status updates.
Lead and conduct business requirements/technical documentation review meetings.
Define, document, and understand business requirements from multiple stakeholders, propose solutions based on requirements, and prioritize them towards achieving long term goals.
Pull information from multiple sources from within the organization while analyzing and reporting the relevant data trends for informed decision making.
Determine the validity and reliability of data; implement new analytical techniques and methods to ensure data quality and integrity.
Partner with stakeholders to create and communicate process artifacts such as complex workflow diagrams.
Institute governance to optimize processes and minimize long-term risk.
Interpret policy and monitor policy compliance and regulations to ensure adherence or acceptance.

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