FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., S. financial institution, is a global capability center (GCC) based in Bengaluru. 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. 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.

Position Title: Process Manager – Enterprise Data & Analytics

Role Type: Hybrid

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.

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.

Source Systems → Data Ingestion & Quality → MDM Core (C360 / R360) → APIs & Batch → Snowflake → Financial Reporting & UI.

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

Data Reconciliation

UAT & Acceptance

Financial Reporting Alignment

Product Requirements & Backlog Ownership

Translate business needs into structured artefacts:

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

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 transparent, business-relevant language





Data Ingestion & Quality – Business Analysis

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:

Lead data profiling reviews — interpret profiling outputs and translate findings into actionable quality requirements and remediation stories

Source-to-MDM data transformations

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

MDM Core Configuration – Business Analysis

Gather and document requirements for Informatica Customer 360 and Reference 360 configuration included:

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

Data Consumption & Reporting – Business Analysis

Define requirements for MDM data consumption across all downstream channels:

API-based integrations (REST/JSON) document payload structures, field mappings, and transformation logic

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

UAT Leadership & Acceptance Management

Ingestion and data quality validation

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

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:

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

Excellent written and verbal communication — able to adapt style for technical and non-technical audiences

Collaborative team player, effective in an offshore delivery model working across time zones

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

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

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

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

translates data complexity into business-aligned outcomes

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.

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.

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. Our EEO policy ensures fairness throughout the employee life cycle.

📌 Process Improvement Manager - Hybrid (Bengaluru)
🏢 First Citizens India
📍 Bengaluru