Process Manager - Master Data Management (Informatica / SQL / MDM)
svb · Bangalore, India ·
- Category
- Management
svb · Bangalore, India ·
FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company’s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients’ greatest ambitions.
Value Preposition:
Shaping the Future of Enterprise Master Data Management within Enterprise Data & Analytics. Lead and strengthen MDM data consumption, quality, validation, and downstream reporting processes. Drive data integrity across Customer 360 / Reference 360 ecosystems while enabling high-quality, governed, and analytics-ready data for enterprise and regulatory consumption.
Shaping the Future of Enterprise Data & Analytics. Lead end-to-end Master Data Management (MDM) product delivery by driving requirements, governance, and data consumption frameworks. Enable trusted, high-quality data across Customer 360 and Reference 360 ecosystems, ensuring alignment with business objectives, regulatory needs, and enterprise reporting standards.
Job Details
Position Title: Process Manager – Enterprise Data & Analytics
Career Level: P4
Job Category: Assistant Vice President
Role Type: Hybrid
Job Location: Bangalore
Shift Timing: 2 pm - 11 pm
About the Team:
This role operates within the MDM Data Management – Customer 360 / Reference 360 Programme, supporting enterprise-wide data consumption and downstream reporting. The team ensures that MDM golden records are accurately propagated across APIs, batch pipelines, data warehouse /Snowflake, and reporting layers.
The Lead Analyst plays a critical role in bridging data producers and consumers, ensuring that MDM data is reliable, well-documented, and aligned with business and regulatory expectations. Working collaboratively with cross-functional pod members, the Business Analyst will drive efficient workflows, optimize data systems, and support iterative delivery in a fast-paced Agile environment.
Impact:
The Senior MDM Analyst – MDM acts as the product-centric bridge between business stakeholders and technical delivery teams across the full MDM ecosystem. Drawing on expertise spanning data ingestion quality, MDM core configuration, and downstream data consumption, this role owns the end-to-end product requirements lifecycle — from source system data discovery through to financial reporting and UI consumption.
Rather than executing technical tasks, this role shapes what gets built and why — ensuring MDM products (Customer 360, Reference 360) deliver trusted, governed, and business-ready master data. The Senior MDM Analyst acts as a product advocate for data quality, driving outcomes aligned with business value, regulatory needs, and stakeholder expectations.
End-to-end ownership spans:
Source Systems → Data Ingestion & Quality → MDM Core (C360 / R360) → APIs & Batch → Snowflake → Financial Reporting & UI.
Core Capability Areas
This role consolidates responsibilities spanning three functional domains, acting as a unified product and business analysis function across the MDM programme:
Data Ingestion & Quality
MDM Core Configuration
Data Consumption & Reporting
Governance & Stewardship
Product Requirements
Stakeholder Engagement
Data Reconciliation
UAT & Acceptance
Financial Reporting Alignment
Key Deliverables (Duties & Responsibilities):
1. Product Requirements & Backlog Ownership
Own end-to-end requirements for MDM product features across ingestion, core processing, and downstream consumption workstreams
Translate business needs into structured artefacts:
User stories, epics, and acceptance criteria
Data mapping and transformation specifications
Business rules documentation and data dictionaries
Prioritize and maintain the MDM product backlog in collaboration with the Product Owner and delivery leads
Drive sprint planning input, ensuring requirements are ready, clear, and testable before development begins
Manage change requests, impact assessments, and requirements traceability across the MDM programme
2. Stakeholder Engagement & Workshop Facilitation
Act as the primary point of contact between business stakeholders, data stewards, and offshore technical teams
Facilitate requirements workshops, data discovery sessions, and sign-off reviews with business owners
Communicate complex data and MDM concepts to non-technical audiences in clear, business-relevant language
Manage stakeholder expectations across competing priorities across ingestion, MDM core, and reporting workstreams
Produce executive-ready summaries, decision papers, and status updates for senior stakeholders
3. Data Ingestion & Quality – Business Analysis
Covering responsibilities consolidated from the P4 Ingestion Developer role:
Define business requirements for data ingestion pipelines from source systems into MDM (batch and near real-time)
Document and validate data quality rules across dimensions:
Completeness, accuracy, consistency, timeliness, and uniqueness
Lead data profiling reviews — interpret profiling outputs and translate findings into actionable quality requirements and remediation stories
Define acceptance criteria for:
Source-to-MDM data transformations
Match, merge, and deduplication logic
Reference data validation and standardization rules
Partner with data stewards and technical teams to drive remediation of data quality failures and track resolution
Establish and document data quality KPIs, thresholds, and monitoring requirements
4. MDM Core Configuration – Business Analysis
Covering responsibilities consolidated from the P3 Core Developer role:
Gather and document requirements for Informatica Customer 360 and Reference 360 configuration included:
Golden record survivorship rules and trust scoring logic
Match and duplicate detection rules and thresholds
Hierarchy management, relationship modelling, and entity structures
Reference data classifications and code table definitions
Validate MDM platform configurations against agreed business rules — raise and track defects where gaps are identified
Document data lineage from source systems through MDM processing to golden record output
Maintain master data entity definitions, attribute ownership, and business glossary entries
Support data stewardship workflows — define exception handling, escalation paths, and steward responsibilities
5. Data Consumption & Reporting – Business Analysis
Covering responsibilities consolidated from the P3 Consumption Developer role:
Define requirements for MDM data consumption across all downstream channels:
API-based integrations (REST/JSON) document payload structures, field mappings, and transformation logic
Batch pipelines — document scheduling, completeness rules, and failure handling requirements
Snowflake consumption and reporting layers — specify data models, aggregation logic, and reporting datasets
UI applications — validate that displayed data aligns with MDM golden records
Own requirements for financial and regulatory reporting data flows — define attribute-level business rules, hierarchies, and classification structures required for reporting accuracy
Lead reconciliation requirements definition across MDM → API → Snowflake → Reporting layers
Review and sign off on data lineage documentation from MDM source through to final reporting outputs
Validate alignment between MDM golden records and downstream outputs; raise discrepancies as formal defects
6. UAT Leadership & Acceptance Management
Define comprehensive test scenarios and acceptance criteria covering all three MDM workstreams:
Ingestion and data quality validation
MDM core processing, match/merge, and golden record accuracy
API, batch, Snowflake, and reporting consumption flows
Coordinate and lead UAT sessions with business stakeholders — manage scheduling, facilitation, and issue triage
Log, track, and prioritise UAT defects through to resolution; obtain formal business sign-off
Support production readiness reviews and post-go-live data validation activities
Produce UAT summary reports for delivery leads and senior stakeholders
7. Data Reconciliation & Validation Oversight
Define reconciliation requirements and frameworks across all MDM data layers
Review and interpret reconciliation outputs produced by technical teams — translate findings into business impact statements and prioritized remediation requirements
Drive root cause analysis for data discrepancies — document findings and ensure corrective requirements are formally captured
Monitor ongoing reconciliation metrics and escalate data integrity risks to the MDM Product Owner
Skills and Experience:
Business Analysis & Product Skills
Proven experience as a Business Analyst or Product Analyst in a data management or MDM programme
Strong skills in user story writing, acceptance criteria definition, and backlog management
Experience facilitating workshops and driving requirements consensus across business and technical teams
Ability to produce high-quality artefacts: functional specs, data maps, process flows, and decision papers
Familiarity with Agile/Scrum delivery — working within sprint cycles, planning sessions, and retrospectives
MDM & Data Governance Knowledge
Solid understanding of Master Data Management concepts:
Golden record creation and survivorship logic
Match and merge processing, de-duplication
Hierarchy management and reference data governance
Experience with Informatica Customer 360 / Reference 360 (strongly preferred)
Knowledge of data governance operating models, data stewardship, and data ownership frameworks
Familiarity with data quality dimensions and profiling techniques
Data & Technical Acumen
Working knowledge of SQL for data validation, profiling, and reconciliation review Understanding of API data flows (REST/JSON) from a requirements and data mapping perspective
Exposure to batch pipeline concepts and data movement patterns
Familiarity with Snowflake or cloud data platforms from a consumption and reporting requirements standpoint
Ability to interpret data models, entity-relationship diagrams, and data lineage documentation
Financial & Domain Knowledge
Experience with financial or regulatory reporting data flows and data dependencies
Understanding of financial data attributes, account hierarchies, and classification structures
Banking or financial services domain experience strongly preferred
Soft Skills
Exceptional analytical and structured thinking skills with strong attention to detail
Excellent written and verbal communication — able to adapt style for technical and non-technical audiences
Strong stakeholder management skills; able to influence and drive decisions without direct authority
Highly organized and able to manage concurrent workstreams across a complex programme
Collaborative team player, effective in an offshore delivery model working across time zones
Technical Skills:
Hands on experience in database connectivity, SQL Server / Dev, Oracle, Snowflake, Netezza, both on-prem and in cloud. And familiarity with ETL and data virtualization tools.
Experience in MDM/360, API
Good Knowledge or experience in Python, AI / ML , Data visualization tools like Power BI, Tableau
Preferred Qualifications
Bachelor’s degree in business, Information Systems, Data Management, or related field with overall 10 + years of experience
Professional certification in data management (DAMA CDMP) or business analysis (CBAP, PMI-PBA) is advantageous
Experience with Salesforce, CIS/core banking, or other downstream CRM/ERP systems
Exposure to cloud data platforms and data integration tooling
Experience working in regulated banking or financial services environments
Key Success Measures
Quality, completeness, and clarity of requirements, user stories, and acceptance criteria delivered to development teams
Stakeholder satisfaction with MDM product outcomes, business rules definition, and governance documentation
Reduction in data quality issues across ingestion, MDM core, and downstream consumption layers
Timely UAT coordination and sign-off with clearly documented acceptance outcomes
Accuracy of data lineage, mapping, and reconciliation documentation across all MDM workstreams
Effectiveness as the business-to-technical bridge — evidenced by fewer requirement misunderstandings, rework, and integration defects
Role Positioning at a Glance
Key Strength:
MDM domain expertise + product requirements ownership + stakeholder engagement + data governance
Acts As:
Business-to-technical bridge and product requirements owner for the end-to-end MDM programme
Collaborates With:
MDM Product Owner (P5) Integration & Data Engineering Leads · Data Stewards · Business Stakeholders
Differentiator:
Shapes what gets built and why — not how; translates data complexity into business-aligned outcomes
Relationships & Collaboration
Reports to: MDM Product Owner / Data Governance Lead/ Data Management Leadership
Partners: Data Engineering, Operational/Reporting Teams, Data Stewards, Business Stakeholders, Senior leaders and cross-functional teams.
Accessibility Needs
We are committed to providing an inclusive and accessible hiring process. If you require accommodation at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.
Equal Employment Opportunity
FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.