Lead Business Analyst

Key ResponsibilitiesExecute Bank Data Governance deliverables aligned to leadership strategy/roadmap.Drive hands-on execution across Data Quality, Data Dictionary/Definitions, Data Lineage, and DG tooling enablement (e.g., IDMC DQ or similar platforms).Ensure BAU stability and on-time delivery through strong planning, dependency management, and proactive risk escalation.Coordinate with Business, Tech, and Risk stakeholders and support required governance artifacts/documentation.Data QualityDesign and implement advanced data quality rules including: Completeness, validity, accuracy, timeliness, uniqueness, consistency checks, Cross-field/cross-table validations (e.g., conditional integrity, dependent attribute checks), Threshold-based controls with exceptions handling and breach tracking, Pattern/format validation (regex, code set validation, reference/master data checks), Reconciliation checks (source-to-target, aggregation totals, balancing checks).Execute DQ monitoring runs, analyze failures, identify trends, and produce DQ scorecards and exception summaries for stakeholders.Support DQ remediation execution by documenting issues, driving ownership, tracking action closure, and maintaining evidence.Data LineageBuild, validate, and maintain end-to-end lineage for critical data elements across systems: Capture lineage from source ? transformations ? target ? reports/consumption. Document transformation logic at a practical level (filters, joins, derivations, aggregations). Validate lineage with Tech/Engineering and align to governance standards.Support lineage tooling updates (where applicable), ensure lineage is audit-defensible, and keep it current during change cycles.Data DictionaryDrive the end-to-end dictionary lifecycleIntake, standardization, review coordination, approvals, publishing, and change controlCreate/maintain dictionary attributes such as: Business definition, technical definition, allowed values, format, datatype, owner/steward, system of record, data sensitivity/classification tagging (as required). Map definitions to DQ rules and lineage (traceability).Partner with Business/Tech stakeholders to resolve definition conflicts and ensure consistency across products.Delivery Management / BAU OwnershipRun recurring governance BAUs/cadences (refresh cycles, reporting routines, attestations/process-based governance work) with SLA discipline and zero surprisesOwn delivery tracking through estimates, plans, RAID logs, and strong dependency/stakeholder management; elevate risks early (24–48 hrs.) with options/recovery plan.Produce and maintain required governance artifacts (templates, evidence packs, operational docs, status updates/committee support materials as needed).Required Qualifications6–8 years total professional experience.Prior experience in banking/financial services environment.5+ years experience supporting or operationalizing Data Governance (framework/process execution).Hands-on experience in at least two of the following: Data QualityData Dictionary/Business GlossaryData LineageExperience creating/supporting Data Governance artifacts (e.g., standards, procedures, templates, evidence packs, operating materials).Strong execution skills: ability to manage deliverables, dependencies, and stakeholders; communicate status clearly and escalate risks earlyPreferred Qualifications5–8 years direct experience operationalizing Data Governance frameworks end-to-end in a regulated banking context.Hands-on experience across all threeData QualityData Dictionary, and Data LineageExperience building advanced Data Quality rules (cross-field/table checks, reconciliation/balancing checks, thresholds, exception workflows).Experience with IDMC Data Quality (preferred) or similar enterprise DQ tooling (Informatica, Collibra DQ, Ataccama, Talend, etc.).Good to have experience supporting multi-product banking domains such as Cards, Mortgage, Deposits, or Pledge (functional/strategy execution exposure).Strong delivery management (EPM): estimation, planning, RAID management, and strong track record of on-time deliveryExperience with governance tooling enablement / metadata platforms (catalog, glossary workflow, lineage tooling) and driving adoption.In-Office CollaborationWorking together, in-person, is foundational to how we achieve results. We foster a culture of face-to-face collaboration, idea sharing, productivity and personal connection, delivering for our stakeholders — clients, advisors, employees and shareholders. Employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different expectations, discussed during the hiring process.Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.J-18808-Ljbffr