The Analyst, Business Strategy & Operations is a business process improvement role. It is part of the Operational Excellence & Execution (OE&E) team that is part of the Employee Enablement Solutions (EES) team within Corporate IT (CIT). This group champions the technology needs of Visa staff.

This team works with technology and other business partners to provide a center of excellence within the organization to drive efficiency, effectiveness, and an exceptional user experience. 

We are passionate about empowering our business users and supporting their success. We are looking for equally passionate people to lead a continuing journey of delivering world class technology, processes, services, support, and experience to our colleagues. 

Reporting to the Operational Excellence & Execution Director, this role will work with diverse teams across the Corporate IT Integration Management Office landscape to identify and implement process efficiencies, while contributing to efficient and successful integration of an acquired entities data and end users by driving process automation, improvement, and standardization across all functional areas and across all project lifecycle stages from inception to end-of-life. 

This position requires extensive Lean Six Sigma (DMAIC) experience analyzing and creating process flows within the context of cross-functional programs.  The successful applicant will also possess excellent leadership and interpersonal skills necessary to influence teams to deliver in a fast-paced and dynamic environment.  This position plays a pivotal role to ensure end users can conveniently and effectively execute their responsibilities in the Visa environment. 

In addition, this role requires demonstrated experience with process analysis, process design, process flow documentation, process improvement and target operating models. As the Business Process Improvement Analyst, you will actively lead continuous improvement projects using Lean Six Sigma (DMAIC) process improvement methodologies with the output being an optimal future state process and/or target operating model. 

We are seeking an experienced Business Process Improvement Analyst who has a mind for creating metrics, the ability to formulate strategy, and can lead critical continuous process improvement efforts, with the goal of improving both operating and financial performance.  This role requires the ability to understand an acquired entities processes and ways of working, operational and technical, to drive an optimal future state, that results in enhanced experiences during and post-acquisition integration. 

Essential Functions: 

1) Leverage Lean Six Sigma (DMAIC) and other process improvement methodologies to drive process improvement, transformation, and automation through cross-functional collaboration across all areas of the organization.

2) Cultivate trusted advisor relationships across the Corporate IT Integration Management Office organization and with their stakeholders and customers through demonstrated expertise and action-based leadership. 

3) Prepare and deliver status updates and presentations to internal stakeholders and executive leadership team. 

4) Conduct interviews and facilitate workshops with business stakeholders and acquired entities to formulate strategy, define customer needs, validate requirements and proposed changes to business processes and operating models. 

5) Develop process improvement procedures and monitoring and reporting on process performance and adoption across the organization.

6) Formulate strategic objectives and appropriate key measurements for initiatives. 

7) Analyze current process standards and metrics to provide solutions for improvements, updating and maintaining documentation on process improvements and performance. 

8) Perform data gathering, root cause analysis, demand analysis, and performance trending to develop appropriate process control changes. 

9) Analyze and document dependencies between new and existing processes and identify opportunities for improvements. 

10) Serve as a change agent for transitioning business stakeholders to new ways of working. 

11) Provide education and training on changes, updates, and improvements for guidelines, processes, and procedures to stakeholders and management. 

12) Serve as a contributor and advocate for global Lean Six Sigma initiatives and the fostering of a Lean Six Sigma culture. 

13) Identify potential roadblocks/obstacles and escalate issues as needed. 

14) Serves as a catalyst for continuous business process improvement, transformation, and innovation. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

The Business Systems Analyst II is responsible for collaborating with the digital product managers (DPM), business system owners, and users to capture the right business requests and accurately translating them to specifications that aid design, coding and testing of complex software and/or data warehouse applications within the organization.

The incumbent performs a liaison function between the DPM, business users, software engineers and QA analysts for implementing software solutions in order to accurately realize business goals.

• Work with the business users and DPM to accurately capture all stakeholder requests and translate them into system specifications which typically include functional, non-functional, user interface, reports and external interface specifications.
• Work with software engineers to ensure that the engineering realization is in accordance with the business specification.
• Work with the testers to ensure that all software components are tested adequately and Participates in Quality Assurance testing as the IT workload requires.
• Provides guidance to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
• Manages requirements risks by proactively tracking and communicating issues, and devising methods to mitigating them.
• Liaise with other project and program areas to coordinate interdependencies and resolve issues.
• Analyzes, maps and communicates current state and future state business processes.
• Supports business units in the resolution of in-depth user questions and issues.
• Maintains a working knowledge of new technology and business analysis standards & practices.
• Collaborates with IT management to define and develop documentation & business analysis artifact standards, guidelines, processes, and templates.

The Senior Internal Audit (IA) Data Analyst (DA) will primarily be responsible for leveraging data analytics and automation to enhance the efficiency and effectiveness of Arch’s internal audit / SOX work and continuous monitoring efforts. The candidate will also have responsibilities in addressing ad-hoc analytics requests, which may come from the IA Leadership Team. The candidate may also support and participate in audit / SOX work. This role reports to the Manager of Data Analytics in Internal Audit.

The ideal candidate will be located on the East Coast.

Responsibilities

Automation Initiatives: Identify opportunities and lead efforts to automate aspects of IT audit, business audit, and SOX work, reducing manual effort and enhancing coverage and accuracy.

Data Analytics & Insights:

• Utilize data analytic tools, programming languages, and big data technologies to identify, extract, transform, and analyze complex datasets for audit and SOX purposes.
• Identify trends, patterns, and anomalies, and translate these insights into actionable recommendations for the IA team and / or stakeholders.

Data Visualization: Design and create compelling data visualizations to facilitate decision-making and communicate findings effectively for both technical and non-technical audiences.

Collaborative Teamwork: Work closely with audit / SOX teams, IT professionals, and business stakeholders across the organization to understand their analytics needs and deliver tailored solutions.

Modeling & Forecasting: Apply statistical and machine learning techniques to build predictive models.

Training & Knowledge Sharing: Stay up-to-date with the latest analytics trends, tools, and industry best practices to ensure that the organization remains at the forefront of data-driven decision-making.

Ad-Hoc Analysis: Respond to requests for specific analyses from various departments as needed.

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