4+ MDM Jobs in Hyderabad | MDM Job openings in Hyderabad

Role: MDM Data Specialist

Location: Bangalore/Hyderabad/Gurgaon/Mumbai

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Required Qualifications

• 3-7+ years of experience in master data management, data governance, data quality, data operations, revenue operations, sales operations, product operations, or a related data role.
• Hands-on experience with an MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or a comparable enterprise MDM solution.
• Experience in a SaaS, subscription, technology, or enterprise software environment.
• Working knowledge of CRM, CPQ, quote-to-cash, order-to-cash, billing, entitlement, subscription, contract, or revenue management processes.
• Experience with customer master, product master, product catalog, account hierarchy, entitlement, subscription, contract, billing, or revenue data.
• Understanding of MDM concepts such as golden record, match/merge, survivorship, reference data, hierarchy management, stewardship workflows, data quality rules, and cross-system synchronization.
• Strong analytical skills with the ability to investigate data issues across business processes and systems.
• Experience with data profiling, cleansing, standardization, deduplication, validation, reconciliation, and remediation.
• Strong documentation, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, or broader Salesforce ecosystem data models.
• Experience integrating MDM platforms with Salesforce, CPQ, billing, ERP, data warehouse, or lakehouse environments.
• Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, or Reltio Connected Data Platform / Reltio Data Cloud.
• Familiarity with APIs, batch integrations, event-driven integrations, data pipelines, data lineage, metadata management, and access controls.
• Experience with CPQ product structures, bundles, pricing rules, discounting, quote lines, contracts, assets, subscriptions, and renewals.
• Familiarity with revenue management concepts such as ASC 606, IFRS 15, performance obligations, revenue recognition, and SOX controls.
• Experience with SQL, Excel, BI tools, data profiling tools, data catalogs, or cloud data platforms.
• Experience supporting quote-to-cash transformation, M&A data onboarding, or enterprise data modernization.

Role Summary:

We are seeking an experienced Master Data Management Specialist to support an enterprise Oracle Fusion Transformation. This role will focus on master data readiness, data quality, governance, migration support, and boundary-system alignment across key business domains.

The ideal candidate has hands-on experience with ERP transformation programs, preferably Oracle Fusion Cloud, and understands master data in a food manufacturing, process manufacturing, CPG, or regulated supply chain environment.

Location: Hyderabad, Bangalore, Gurgaon and Mumbai.

Key Responsibilities

• Support master data readiness for Oracle Fusion design, build, mock loads, UAT, cutover, and hypercare.
• Perform data profiling, cleansing, deduplication, validation, and remediation tracking.
• Create and maintain source-to-target mappings from legacy systems to Oracle Fusion.
• Support data migration cycles, mock load validation, reconciliation, and data defect resolution.
• Partner with IT, business data owners, system integrators, and data stewards to define ownership, rules, and approval workflows.
• Support boundary-system data contracts, including field-level rules, ID crosswalks, downstream integration impacts, and reconciliation controls.
• Help establish sustainable data quality metrics, monitoring, lineage, and stewardship processes.
• Support reporting and analytics readiness by ensuring trusted master data dimensions and consistent reference data.
• Data domains scope:

o   Customer, supplier, contact, and trading partner master data.

o   Product, item, SKU, BOM, specification, category, and UOM data.

o   Location, site, plant, warehouse, address, and inventory location data.

o   Finance master data, including chart of accounts, legal entities, ledgers, cost centers, and hierarchies.

o   Workforce / HCM reference data, including workers, jobs, positions, departments, and organization structures.

o   Reference data such as tax codes, payment terms, value sets, shipping methods, and lookup values.

o   Quality, specification, traceability, asset, equipment, recipe, formula, routing data.

Required Experience

• 10+ years of experience in MDM, data governance, data quality, ERP data migration, or enterprise data management.
• Hands-on experience supporting ERP implementation or transformation programs.
• Strong knowledge of master data lifecycle management, data stewardship, and data quality controls.
• Experience with data profiling, cleansing, deduplication, validation, reconciliation, and defect management.
• Experience developing source-to-target mappings, transformation rules, and data load validation support.
• Ability to work across IT, business teams, system integrators, and data owners.
• Strong documentation, analytical, and issue-resolution skills.
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Preferred Experience

• Oracle Fusion Cloud ERP experience.
• Oracle Product Hub, Oracle SCM, Oracle Procurement, Oracle Financials, or Oracle MDM experience.
• Food manufacturing, CPG, process manufacturing, or regulated supply chain experience.
• Experience with product/item, supplier, customer, plant/location, quality, recipe/formula, BOM, routing, or traceability data.
• Experience with boundary systems such as PLM, QMS, EAM, CRM, procurement platforms, legacy ERP, data warehouse, or reporting tools.
• Experience supporting mock loads, UAT, cutover, hypercare, and post-go-live data operations.

• Technical expertise in the area of development of Master Data Management, data extraction, transformation, and load (ETL) applications, big data using existing and emerging technology platforms and cloud architecture

• Functions as lead developer• Support System Analysis, Technical/Data design, development, unit testing, and oversee end-to-end data solution.

• Technical SME in Master Data Management application, ETL, big data and cloud technologies                                                                                               

• Collaborate with IT teams to ensure technical designs and implementations account for requirements, standards, and best practices                                                                                           

• Performance tuning of end-to-end MDM, database, ETL, Big data processes or in the source/target database endpoints as needed.                                                               

• Mentor and advise junior members of team to provide guidance.                                                  

• Perform a technical lead and solution lead role for a team of onshore and offshore developers

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.