IN_Senior Associate_Data Management_GCC_Advisory_Kolkata

Pwc India

Kolkata

On-site

INR 1,200,000 - 2,400,000

Full time

2 days ago
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Job summary

PwC India is seeking a motivated Master Data Management (MDM) Consultant/Senior Consultant to drive enterprise MDM initiatives across multiple domains. The role requires hands-on experience with platforms such as Informatica, Semarchy, Reltio, or Stibo Systems and a solid foundation in data governance, data quality, and lifecycle management.

You will work with business stakeholders, data stewards, and technical teams to implement MDM solutions, ensure data integrity, and contribute to governance

Qualifications

  • Hands-on with more than one MDM platform (Informatica, Semarchy, Reltio or Stibo Systems).
  • Strong understanding of core MDM concepts including data governance, quality and lifecycle management.
  • At least one professional MDM certification from Informatica, Semarchy, Reltio, Stibo Systems or Profisee.

Responsibilities

  • Participate in design, configuration and implementation of multiple MDM solutions.
  • Support master data modeling, hierarchy management, matching and survivorship rules.
  • Collaborate with stakeholders to document master data requirements.
  • Support data quality initiatives through profiling, cleansing and standardization.
  • Integrate MDM platforms with upstream/downstream systems via APIs and ETL.
  • Contribute to data governance policies and stewardship processes.
  • Troubleshoot data issues and resolve domain inconsistencies.
  • Develop technical documentation and operational procedures.
  • Support testing activities (unit testing, SIT, UAT) for MDM implementations.
  • Stay updated on MDM trends and platform enhancements.

Skills

MDM concepts
Data governance
Data quality
Data modeling
Hierarchy management
Matching & merging
ETL concepts
SQL basics
Agile
Stakeholder mgmt
Documentation
Communication

Education

MBA (IT/Systems)
BE / B.Tech / MCA / M.Tech

Tools

Informatica MDM
Semarchy
Reltio
Stibo Systems
Profisee

Job description

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led andvalues-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibilityprogrammesand mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn moreabout us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary:

PwC India is seeking a motivated and technically proficient Master Data Management (MDM) Consultant/Senior Consultant with hands-on experience in one or more leading MDM platforms such as Semarchy, Informatica, Reltio, or Stibo Systems. The role requires a strong understanding of MDM fundamentals, data governance principles, and master data lifecycle management. The ideal candidate will support enterprise-wide MDM initiatives, data quality improvement programs, and data governance implementations across multiple domains.

Responsibilities:
  • Participate in the design, configuration, and implementation of more than one MDM solution using platforms such as Informatica, Semarchy, Reltio, or Stibo Systems.
  • Support master data modeling, hierarchy management, matching and merging, survivorship rules, and workflow configurations.
  • Collaborate with business stakeholders, data stewards, and technical teams to understand and document master data requirements.
  • Support data quality initiatives through data profiling, validation, cleansing, and standardization activities.
  • Assist in integrating MDM platforms with upstream and downstream systems through APIs, ETL tools, and data services.
  • Contribute to the implementation of data governance policies, stewardship processes, and business rules.
  • Troubleshoot data issues and support resolution of master data inconsistencies across domains.
  • Develop and maintain technical documentation, design artifacts, and operational procedures.
  • Support testing activities including unit testing, SIT, and UAT for MDM implementations.
  • Stay updated on MDM industry trends, platform enhancements, and best practices.
Mandatory skill sets:
  • Hands-on experience with more than one MDM platform, including Informatica, Semarchy, Reltio, or Stibo Systems.
  • Strong understanding of core MDM concepts including Master Data Domains such as Customer, Product, Supplier, and Location; Data Governance; Data Stewardship; Data Quality; Matching and Merging; Survivorship Rules; and Data Lifecycle Management.
  • At least one professional MDM certification from Informatica, Semarchy, Reltio, Stibo Systems, or Profisee.
  • Experience in data modeling, hierarchy management, and business rule configuration.
  • Knowledge of data integration concepts and ETL processes.
  • Strong analytical and problem-solving skills.
  • Basic SQL knowledge for data analysis and troubleshooting.
  • Experience working in Agile project environments.
  • Good communication and stakeholder management skills.
Preferred skill sets:
  • Exposure to multiple MDM tools such as Informatica, Semarchy, Reltio, Stibo Systems, Profisee, or similar platforms.
  • MDM platform certification in Informatica, Semarchy, Reltio, Stibo Systems, or Profisee preferred.
  • Knowledge of Data Quality and Data Governance tools and frameworks.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP.
  • Experience with REST APIs, JSON, and data integration technologies.
  • Exposure to enterprise data management and digital transformation programs.
  • Understanding of reference data management and metadata management concepts.
Years of experience required:

3–8 years

Experience in multi-domain MDM implementations.

  • Exposure to Banking, Financial Services, Insurance (BFSI), Retail, Manufacturing, or Healthcare data domains.

BE / B.Tech / MCA / M.Tech / MBA (IT/Systems) or equivalent

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Product Management Strategy, Product Roadmap

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more}

Desired Languages

(If blank, desired languages not specified)

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