Senior Lead Business & Data Analyst

This senior contractor serves as the primary business and data lead for the Enterprise Search platform, operating alongside and in support of the Product Owner. The role owns requirements integrity, data quality, stakeholder alignment, and SDLC execution, ensuring Enterprise Search enhancements are accurate, governed, testable, and audit ready. This role is expected to operate with senior judgment, independence, and accountability in a regulated credit risk environment.

Required Skills:

• Senior level individual contributor contractor
• Business facing, delivery oriented, governance critical role
• His group is in SQL all day long, not a lot of external reporting, just data analysis and remediation
• They are Agile, SCRUM oriented, ideally JIRA experience
• Software is SQL query analyzer, they can use Aquadata, SQLassistant, etc. whatever is needed.
• Oracle, Teradata, SQL Server are part of the tech stack
• They are stakeholder facing soliciting requirements or enhancements, this person will be fully engaged with the Product Owner
• They will be working on the whole SDLC
• background knowledge in credit risk isn't needed but he does want someone who knows financial data, and data lineage and what a loan is and how it moves from Hop A to Hop B.
• Mike focuses on 9 different Scrum teams, this role focuses the data for all of those
• working on moving to the private data cloud, they are using Drimeo as the interface so they do not need specific cloud experience with Google Cloud Platform, etc.
• This person will be a "Senior Lead" they will need to run independently with limited direction

• Senior contractor acting as business lead supporting the Product Owner for Enterprise Search
• Owns requirements, data analysis, testing, and stakeholder alignment end to end
• Deep focus on data lineage, sourcing, remediation, and auditability
• Operates independently with minimal oversight
• Drives backlog quality, SDLC execution, and release readiness
• Accountable for business clarity and data correctness, not just documentation

Business Lead Support to Product Owner

• Act as the day to day business execution lead supporting the Product Owner.
• Drive functional clarity, scope definition, and prioritization decisions.
• Translate ambiguous business needs into precise, testable requirements.
• Proactively identify risks, data issues, and governance gaps before delivery.

Requirements & Backlog Ownership

• Own end to end requirements development for Enterprise Search enhancements.
• Create high quality JIRA epics, features, stories, and acceptance criteria.
• Ensure backlog readiness and alignment with delivery and governance expectations.
• Maintain traceability from business requirement through implementation and testing.

Data Analysis, Lineage & Remediation

• Perform senior level data analysis across Enterprise Search data sources.
• Identify data defects, lineage gaps, sourcing issues, and transformation risks.
• Lead or support data remediation efforts, including root cause analysis.
• Maintain working knowledge of Enterprise Search data model, hierarchies, and feeds.

Testing, Validation & Release Readiness

• Define and execute functional testing, regression testing, and UAT.
• Validate data accuracy, aggregation logic, and business interpretation.
• Ensure releases meet data quality, governance, and audit standards.
• Produce or support test evidence required for SDLC approvals.

Stakeholder Engagement

• Lead working sessions with Credit Risk, Finance, Data Office, and Technology teams.
• Serve as the primary business contact for Enterprise Search questions and clarifications.
• Communicate impacts, dependencies, and risks clearly and concisely.

UX & Functional Design Support

• Create or review mockups and wireframes to support requirement clarity.
• Ensure UX reflects correct data semantics and business workflows.
• Partner with UX and engineering to avoid misinterpretation of data behavior.

Governance & SDLC Discipline

• Ensure all work aligns to enterprise SDLC, data governance, and risk controls.
• Support auditability through documentation, lineage, and evidence generation.
• Enforce “done means done” standards for requirements and testing.

• Financial services experience preferably in the commercial space
• Senior level experience as a Business Analyst and Data Analyst in complex platforms.
• Demonstrated ability to act as a business lead supporting a Product Owner.
• Proven delivery experience in regulated, audit sensitive environments.
• Strong SDLC and agile execution experience.

Core Skills

• Advanced requirements elicitation and documentation
• JIRA backlog creation and management
• Data analysis, sourcing, lineage, and remediation
• Functional testing, regression testing, and UAT
• Stakeholder facilitation and communication
• Ability to operate independently with senior judgment

Domain Familiarity (Preferred)

• Reporting, analytics, or data discovery platforms
• Credit risk, finance, or enterprise data domains
• Hierarchies, aggregation logic, and data governance concepts

Success Measures

• Requirements are clear, complete, and delivered without rework
• Data defects are identified early and remediated effectively
• Releases meet governance and audit expectations
• Product Owner is supported with strong business leadership and execution
• Stakeholders trust Enterprise Search outputs