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IN_Senior Associate_Data Management, Data Governance_ Data and Analytics_Advisory_Pan India

PwC is hiring an IN_Senior Associate_Data Management, Data Governance_ Data and Analytics_Advisory_Pan India. Level rates it ; you can apply on PwC.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • The posting mentions SAP, data management and data governance among its tools and skills.
  • PwC has 3,700+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Provide consulting services for data management and analytics solutions using SAP technologies at PwC.

SAP
data-managementdata-governancedata-analyticssap-analytics

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-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, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about 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 highly skilled Data Governance Consultant with hands-on experience in designing, configuring, and implementing Data Governance, Data Catalog and Data Quality solutions. This is a technical role focused on leveraging the market leading data governance and catalog tools to support enterprise data governance, data quality, and data catalog processes.


Responsibilities:

  • Build, configure, and deploy data governance solutions leveraging the DG platform tailored to complex enterprise requirements.
  • Configure data domains, org units, business glossaries, workflows, data classification, technical and semantic lineage to enforce data governance frameworks and policies.
  • Develop and customize DG integrations with enterprise systems through APIs, connectors, and data integration tools.
  • Perform data profiling, data quality validations, and data quality rules and scorecard build using best practices.
  • Troubleshoot, debug, and optimize DG workflows and integrations ensuring data accuracy, consistency, and process efficiency.
  • Onboarding of data sources into DG and DQ platform including ETL/ELT pipelines setup and metadata ingestion.

Mandatory skill sets:

  • Hands-on experience configuring and implementing Data Governance and Data Catalog features including domains, lineage, workflows, and data quality rules.
  • Strong knowledge of data governance concepts such as metadata management, data stewardship, policy management, and data quality.
  • Experience integrating DG tool with various enterprise data sources and external systems using APIs, web services, or ETL tools.
  • Proficient in data profiling, data quality validations, and metadata ingestion.
  • Hands-on experience in one or more of DG/DQ tools like Collibra/Informatica/Alation/Purview or related tools

Preferred skill sets/certification:

  • Professional certification in market leading DG/DQ tools like Informatica, Collibra, Alation, Purview, Talend etc.
  • Experience with SQL, python, or other scripting languages relevant to workflow customization and integrations.
  • Familiarity with ETL tools such as Azure Data Factory, SSIS, Informatica, or Talend to support data integration.
  • Knowledge of cloud environments like Azure or AWS where DG platform is deployed.
  • Understanding of overall data management ecosystem including Data Quality, Master Data Management (MDM), and Data Governance frameworks.

Years of experience required: 3 -8 years


Education qualification: BE, B.Tech, MCA, MBA, M.Tech

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP BW/4HANA

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 13 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

April 15, 2026

How we rate this

IN_Senior Associate_Data Management, Data Governance_ Data and Analytics_Advisory_Pan India at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ManagementData GovernanceData AnalyticsSAP AnalyticsSAP

Questions you could be asked

  1. Tell me about a project where data management was part of your work. What did you do?
  2. Tell me about a project where data governance was part of your work. What did you do?
  3. Tell me about a project where data analytics was part of your work. What did you do?
  4. Tell me about a project where sap analytics was part of your work. What did you do?
  5. Walk me through how you've used SAP in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Management, Data Governance, Data Analytics, SAP Analytics, and SAP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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