Senior Enterprise Search Business & Data Analyst (Contractor)

Senior Enterprise Search Business & Data Analyst (Contractor)

Senior‐level individual contributor contractor

Business‐facing, delivery‐oriented, governance‐critical role

• 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

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.

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

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”