Senior Business Analyst

Job Posting Description - Data Loss Prevention (DLP)

Title: Senior Business Analyst

Summary:

We are seeking a highly motivated and experienced Senior Business Analyst to join our team and play a key role in our Data Loss Prevention (DLP) initiatives. The successful candidate will be responsible for leading business analysis efforts across two major streams of work, including gathering requirements, optimizing operational risk processes, and collaborating closely with stakeholders to ensure successful operationalization and rollout.

The ideal candidate will combine technical expertise, risk management skills, and exceptional abilities in process documentation, tool utilization (Jira and Google Workspace), and stakeholder engagement.

• Operational Documentation:
  Create comprehensive team‑supporting documentation (e.g., Standard Operating Procedures, Playbooks) for processes to manage ongoing data scans. This includes designing workflows for risk categorization (risk rating), prioritization, remediation (determining where action or inaction is required), and reporting (trending).
• Scan and Remediation Management:
  Actively manage scan outputs and track remediation work utilizing a Jira board. Collaborate with leadership to determine and transition responsibility to the long‑term operational team.
• Rollout Support:
  Support the next phase of data scan candidates and broader enterprise rollouts.
• Stakeholder Management:
  Work closely with stakeholders (such as Data Owners, Application Owners, and individuals) to define, clarify, and establish their ongoing roles and responsibilities.
• Organizational Change Management (OCM):
  Collaborate with OCM partners to draft and deploy enterprise‑wide communications and change management activities surrounding data loss prevention strategies and updates.

• Lead Business Analysis activities and collaborate with other BAs, Product, Risk, and technical teams to deliver complex data protection solutions.
• Gather and document business requirements through stakeholder interviews, workshops, and surveys.
• Conduct gap analysis to assess differences between current data states and desired protection baselines, highlighting opportunities for risk mitigation.
• Actively participate in and facilitate Agile ceremonies (sprint planning, daily stand‑ups, sprint reviews, and backlog refinement), ensuring user stories are well‑defined and prioritized in Jira.
• Translate business and risk requirements into detailed functional specifications, process maps, and data models.
• Guide and participate in User Acceptance Testing (UAT) to validate that risk tracking, policies, and reporting match business expectations.

• Risk Management
  
  Skills:
  
  Demonstrated proficiency in managing, maturing, and optimizing operational risk processes, metrics, and indicators (such as KRIs).
• Data Security and Risk:
  Familiarity with data risk assessment processes and knowledge of Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) concepts.
• Tools Proficiency:
  Strong hands‑on proficiency with Jira (for backlog management and tracking remediation work) and Google Workspace (for documentation, tracking, and collaboration).
• Platform Awareness:
  The candidate can be solution‑agnostic but must have an understanding of/experience dealing with data repositories such as or similar to SAP, Box, Docu Sign, and Google Cloud environments (GCS, Cloud SQL, Big Query).
• Core BA
  
  Competencies:
  
  Strong understanding of business analysis principles, methodologies, and best practices.
• Communication:
  Exceptional written and verbal communication skills, with a proven capability to explain complex risk and technical concepts to both technical teams and senior business leaders.
• Agile
  
  Experience:
  
  Strong experience working within Agile/Scrum development methodologies.
• Ability to work independently and manage multiple shifting priorities and timelines in a dynamic project environment.

• Experience or understanding of data‑scanning tools (e.g., Cyera) and cloud data environments (e.g., Big Query).
• Background in data governance, information security, or…