📍 Job Overview

Job Title: IN-Senior Associate - Informatica Cloud MDM - Data & Analytics - Advisory - Bangalore
Company: PwC
Location: Bengaluru Millenia, India
Job Type: Full-Time
Category: Data & Analytics - Advisory
Date Posted: 2025-06-26
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Lead the development and implementation of Master Data Management (MDM) solutions using Informatica's Intelligent Data Management Cloud (IDMC) platform.
Collaborate with data architects and business stakeholders to gather requirements and design effective MDM solutions.
Configure and maintain various IDMC components, such as Customer 360 (C360), Product 360 (P360), Business 360 (B360), and Reference 360 (R360).
Implement match/merge logic, survivorship rules, and business validations to ensure data accuracy and consistency.
Utilize Cloud Application Integration (CAI) to build and orchestrate workflows for MDM processes.
Perform data profiling and configure Data Quality (DQ) services to support cleansing and validation processes.
Integrate MDM solutions with systems such as ERP, CRM, and data warehouses using IDMC connectors, APIs, and real-time integration patterns.
Participate in solution design reviews, troubleshooting, performance tuning, and provide production support.

📝 Enhancement Note: This role requires a strong background in MDM development, with a focus on the Informatica IDMC platform. Candidates should be comfortable working in a collaborative environment and have experience integrating MDM solutions with various enterprise systems.

💻 Primary Responsibilities

MDM Solution Development: Develop and implement MDM solutions on the Informatica IDMC platform, configuring and maintaining various IDMC components.
Collaboration: Work with data architects and business stakeholders to gather requirements and translate them into effective MDM solutions.
Data Governance: Establish and maintain policies and procedures to optimize the quality, integrity, and security of data, mitigating risks associated with data usage.
Data Integration: Integrate MDM solutions with enterprise systems such as ERP, CRM, and data warehouses using IDMC connectors, APIs, and real-time integration patterns.
Workflow Orchestration: Build and orchestrate workflows using Cloud Application Integration (CAI) to automate MDM processes.
Data Quality: Perform data profiling and configure Data Quality (DQ) services to support cleansing and validation processes, ensuring data accuracy and consistency.
Troubleshooting & Support: Participate in solution design reviews, troubleshooting, performance tuning, and provide production support for MDM solutions.

📝 Enhancement Note: This role requires a combination of technical expertise in MDM development and strong collaboration skills to work effectively with data architects and business stakeholders. Candidates should be comfortable working in a dynamic environment and have experience with real-time REST APIs for MDM operations.

🎓 Skills & Qualifications

Education:

Master of Engineering (ME) or Bachelor of Engineering (BE) in a relevant field of study

Experience:

4-7 years of experience in MDM development, with at least 1 year on the Informatica IDMC platform

Required Skills:

Proficiency in configuring and maintaining Informatica IDMC components (C360, P360, B360, R360)
Strong knowledge of match/merge logic, survivorship rules, and business validations
Experience with Cloud Application Integration (CAI) for workflow orchestration
Expertise in data profiling and Data Quality (DQ) services
Experience in integrating MDM solutions with ERP, CRM, and data warehouses using APIs and connectors
Hands-on experience with real-time REST APIs for MDM operations

Preferred Skills:

Experience with other MDM tools like Ataccama, Profisee, TIBCO, Semarchy, Stibo, SAP, and MDM tool integration with AWS, Azure, or GCP environments
Certifications in MDM or Data Governance (e.g., Informatica MDM Certification, DAMA-CDMP, DCAM, CDMC Certification)

📝 Enhancement Note: Candidates with certifications in MDM or Data Governance and experience with other MDM tools will have a competitive advantage. Additionally, experience with cloud environments (AWS, Azure, or GCP) can further enhance the candidate's profile.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A portfolio showcasing MDM projects developed using the Informatica IDMC platform, demonstrating proficiency in configuring and maintaining various IDMC components
Case studies highlighting successful MDM solution implementations, including data integration, workflow orchestration, and data quality processes
Examples of real-time REST API usage for MDM operations, such as search, create, update, and delete

Technical Documentation:

Documentation of MDM solution design, including data modeling, match/merge logic, survivorship rules, and business validations
Workflow diagrams illustrating CAI-based automation for MDM processes
Data quality assessment reports and improvement plans (DQIP) demonstrating data cleansing and validation efforts

📝 Enhancement Note: Candidates should focus on showcasing their technical expertise in MDM development and data governance. Including examples of successful MDM implementations and real-time API usage will strengthen the portfolio.

💵 Compensation & Benefits

Salary Range:

INR 1,200,000 - 1,800,000 per annum (Estimated based on industry standards for senior associates with 4-7 years of experience in data and analytics roles)

Benefits:

Competitive salary and benefits package
Opportunities for professional development and career growth within PwC
A dynamic and inclusive work environment that values diversity and fosters collaboration
The chance to work on high-impact projects for leading clients across various industries

Working Hours:

Full-time position with standard working hours (Monday to Friday, 9:00 AM to 6:00 PM IST)
Occasional overtime may be required to meet project deadlines or troubleshoot issues

📝 Enhancement Note: The estimated salary range is based on industry standards for senior associates with 4-7 years of experience in data and analytics roles in the Bengaluru area. Benefits may vary based on the candidate's qualifications and PwC's internal policies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Professional Services - Management Consulting and Advisory Services Company Size: Large (Over 10,000 employees) Founded: 1854 (Global), 1947 (India)

Team Structure:

The Data & Analytics team consists of experienced professionals with expertise in data management, data governance, data quality, and data integration
The team works collaboratively with other PwC teams, such as Consulting, Tax, and Assurance, to provide comprehensive solutions to clients
The team follows a matrix structure, with members reporting to both a practice leader and a client engagement manager

Development Methodology:

PwC follows Agile methodologies for project management, with a focus on iterative development and continuous improvement
The team uses a combination of waterfall and Agile approaches, depending on the project's nature and client requirements
PwC emphasizes knowledge sharing, mentoring, and professional development opportunities to help team members grow and advance in their careers

Company Website: PwC India

📝 Enhancement Note: PwC's global presence and extensive experience in management consulting and advisory services provide a strong foundation for the Data & Analytics team. The team's collaborative nature and focus on continuous learning make it an ideal environment for professionals seeking to grow their careers in data and analytics.

📈 Career & Growth Analysis

Web Technology Career Level:

Senior Associate - Experienced professional with 4-7 years of relevant experience in data and analytics roles, responsible for leading MDM projects and mentoring junior team members

Reporting Structure:

Reports to the Data & Analytics practice leader and the client engagement manager for specific projects
Collaborates with data architects, business stakeholders, and other PwC teams to deliver comprehensive solutions to clients

Technical Impact:

Leads the development and implementation of MDM solutions, ensuring data accuracy, consistency, and reliability across enterprise systems
Works with business stakeholders to understand their data needs and translates them into effective MDM solutions
Participates in solution design reviews, troubleshooting, and performance tuning to optimize MDM solutions and improve overall data quality

Growth Opportunities:

Technical Specialization: Deepen expertise in MDM development and data governance, with opportunities to specialize in specific domains, such as customer data management, product data management, or reference data management
Leadership Roles: Develop leadership skills by mentoring junior team members and taking on more significant project responsibilities
Cross-functional Collaboration: Expand knowledge and skills by working with other PwC teams, such as Consulting, Tax, and Assurance, on joint client engagements
Global Opportunities: Explore international assignments and secondment opportunities with PwC's global network of firms to gain exposure to different markets and cultures

📝 Enhancement Note: PwC's global presence and extensive experience in management consulting and advisory services provide numerous growth opportunities for senior associates in data and analytics roles. By developing technical expertise, honing leadership skills, and expanding knowledge through cross-functional collaboration, senior associates can advance their careers and take on more significant responsibilities within the organization.

🌐 Work Environment

Office Type: Modern, collaborative workspace with open-plan offices, dedicated meeting rooms, and breakout spaces Office Location(s): Bengaluru Millenia, India

Workspace Context:

Collaborative Environment: Open-plan offices encourage teamwork and knowledge sharing among data and analytics professionals
Technical Infrastructure: Access to cutting-edge technology, tools, and software to support MDM development and data analysis
Cross-functional Collaboration: Opportunities to work with other PwC teams, such as Consulting, Tax, and Assurance, on joint client engagements
Professional Development: Access to training programs, workshops, and webinars to enhance skills and stay current with industry trends

Work Schedule:

Standard working hours: Monday to Friday, 9:00 AM to 6:00 PM IST
Occasional overtime may be required to meet project deadlines or troubleshoot issues
Flexible work arrangements, such as remote work or flexible hours, may be available depending on the project and team requirements

📝 Enhancement Note: PwC's modern and collaborative work environment fosters teamwork and knowledge sharing among data and analytics professionals. The organization's commitment to professional development and cross-functional collaboration provides numerous opportunities for growth and career advancement.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate technical skills and problem-solving abilities
Phone Screen: A brief phone call to discuss the candidate's background, experience, and career goals
Technical Deep Dive: A detailed technical interview focusing on MDM development, data governance, and data integration, with a case study or coding challenge
Behavioral Interview: An in-depth discussion of the candidate's experience, skills, and cultural fit with the PwC team
Final Review: A meeting with the hiring manager and other senior team members to assess the candidate's overall fit for the role

Portfolio Review Tips:

Highlight MDM projects developed using the Informatica IDMC platform, demonstrating proficiency in configuring and maintaining various IDMC components
Include case studies showcasing successful MDM solution implementations, including data integration, workflow orchestration, and data quality processes
Emphasize real-time REST API usage for MDM operations, such as search, create, update, and delete
Tailor the portfolio to the specific role and company, highlighting relevant projects and achievements that showcase the candidate's technical expertise and problem-solving skills

Technical Challenge Preparation:

Brush up on MDM development concepts, data governance principles, and data integration best practices
Familiarize yourself with the Informatica IDMC platform, including its various components, workflow orchestration, and data quality services
Practice solving MDM-related case studies and coding challenges to demonstrate your technical proficiency and problem-solving skills

ATS Keywords: Informatica, IDMC, MDM, Data Governance, Data Quality, Cloud Application Integration, APIs, Data Integration, Workflow Orchestration, Match/Merge Logic, Survivorship Rules, Business Validations, Data Profiling, ERP, CRM, Data Warehouses, REST APIs, Agile, Professional Services, Management Consulting, Advisory Services

📝 Enhancement Note: PwC's interview process focuses on evaluating the candidate's technical expertise, problem-solving skills, and cultural fit with the organization. By preparing thoroughly and tailoring the portfolio to the specific role and company, candidates can demonstrate their qualifications and increase their chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

MDM Platform:

Informatica Intelligent Data Management Cloud (IDMC) - The core MDM platform used for developing and implementing MDM solutions
Informatica Customer 360 (C360), Product 360 (P360), Business 360 (B360), and Reference 360 (R360) - IDMC components used for managing customer, product, business, and reference data, respectively
Cloud Application Integration (CAI) - A cloud-based integration platform used for building and orchestrating workflows for MDM processes

Data Governance & Quality:

Data Quality (DQ) services - A suite of tools for data cleansing, validation, and enrichment to ensure data accuracy, consistency, and completeness
Data profiling tools - Software solutions for analyzing and assessing data quality, identifying trends, and making data-driven decisions

Enterprise Systems Integration:

ERP, CRM, and data warehouses - Enterprise systems integrated with MDM solutions using IDMC connectors, APIs, and real-time integration patterns

📝 Enhancement Note: PwC's technology stack focuses on the Informatica IDMC platform for MDM development and data governance. Candidates should be proficient in using the IDMC platform and its various components, as well as other relevant tools and technologies for data integration, workflow orchestration, and data quality.

👥 Team Culture & Values

Data & Analytics Values:

Integrity: Uphold the highest ethical standards and maintain the confidentiality, accuracy, and reliability of data
Collaboration: Work together to deliver innovative solutions that drive business value and exceed client expectations
Expertise: Continuously develop and share knowledge to enhance our skills and stay current with industry trends and best practices
Innovation: Embrace a culture of continuous improvement, always seeking new and better ways to solve problems and deliver results

Collaboration Style:

Cross-functional Teamwork: Work closely with other PwC teams, such as Consulting, Tax, and Assurance, to provide comprehensive solutions to clients
Knowledge Sharing: Regularly share insights, best practices, and lessons learned with team members to foster a culture of continuous learning and improvement
Mentoring: Provide guidance and support to junior team members to help them develop their skills and advance in their careers

📝 Enhancement Note: PwC's data and analytics team values collaboration, expertise, and innovation. By working together and sharing knowledge, team members can deliver high-quality solutions that drive business value and exceed client expectations.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Complexity: Manage and integrate complex data from various sources, ensuring data accuracy, consistency, and reliability across enterprise systems
Data Governance: Establish and maintain data governance policies and procedures to optimize data quality, mitigate risks, and ensure compliance with regulatory requirements
Data Integration: Integrate MDM solutions with enterprise systems, such as ERP, CRM, and data warehouses, using APIs, connectors, and real-time integration patterns
Data Quality: Ensure data accuracy, consistency, and completeness by implementing data cleansing, validation, and enrichment processes

Learning & Development Opportunities:

Technical Skills: Deepen expertise in MDM development, data governance, and data integration by participating in training programs, workshops, and webinars
Leadership Skills: Develop leadership skills by mentoring junior team members, taking on more significant project responsibilities, and participating in leadership development programs
Cross-functional Collaboration: Expand knowledge and skills by working with other PwC teams, such as Consulting, Tax, and Assurance, on joint client engagements
Industry Trends: Stay current with industry trends and best practices by attending conferences, participating in online forums, and networking with other professionals in the field

📝 Enhancement Note: PwC's data and analytics team faces various technical challenges, including data complexity, data governance, data integration, and data quality. By embracing a culture of continuous learning and improvement, team members can develop the skills and expertise needed to overcome these challenges and drive business value.

💡 Interview Preparation

Technical Questions:

MDM Development: Describe your experience with MDM development using the Informatica IDMC platform, including configuring and maintaining various IDMC components
Data Governance: Explain your approach to data governance, including establishing and maintaining data governance policies and procedures to optimize data quality and mitigate risks
Data Integration: Discuss your experience integrating MDM solutions with enterprise systems, such as ERP, CRM, and data warehouses, using APIs, connectors, and real-time integration patterns
Data Quality: Describe your experience with data quality tools and processes, including data cleansing, validation, and enrichment

Company & Culture Questions:

PwC Values: Explain how you have demonstrated PwC's core values, such as integrity, collaboration, expertise, and innovation, in your previous roles
Client Focus: Describe your experience working with clients and delivering solutions that meet their unique needs and expectations
Teamwork: Share an example of a successful team project and your role in driving the team's success
Adaptability: Explain how you have adapted to changes in technology, processes, or client requirements in previous roles

Portfolio Presentation Strategy:

MDM Projects: Highlight MDM projects developed using the Informatica IDMC platform, demonstrating proficiency in configuring and maintaining various IDMC components
Case Studies: Include case studies showcasing successful MDM solution implementations, including data integration, workflow orchestration, and data quality processes
Technical Deep Dive: Prepare to discuss the technical aspects of your portfolio in detail, including data modeling, match/merge logic, survivorship rules, and business validations
Client Impact: Emphasize the business impact of your MDM projects, including improvements in data accuracy, consistency, and reliability, as well as cost savings and operational efficiencies

📝 Enhancement Note: PwC's interview process focuses on evaluating the candidate's technical expertise, problem-solving skills, and cultural fit with the organization. By preparing thoroughly and tailoring the portfolio to the specific role and company, candidates can demonstrate their qualifications and increase their chances of success in the interview process.

📌 Application Steps

To apply for this Senior Associate - Informatica Cloud MDM - Data & Analytics - Advisory - Bangalore position at PwC:

Tailor Your Resume: Highlight your relevant experience in MDM development, data governance, and data integration, using keywords such as Informatica, IDMC, MDM, Data Governance, Data Quality, Cloud Application Integration, APIs, Data Integration, Workflow Orchestration, Match/Merge Logic, Survivorship Rules, Business Validations, Data Profiling, ERP, CRM, Data Warehouses, REST APIs, Agile, Professional Services, Management Consulting, and Advisory Services.
Customize Your Portfolio: Showcase your MDM projects developed using the Informatica IDMC platform, including case studies demonstrating successful MDM solution implementations, data integration, workflow orchestration, and data quality processes.
Prepare for Technical Challenges: Brush up on MDM development concepts, data governance principles, and data integration best practices. Practice solving MDM-related case studies and coding challenges to demonstrate your technical proficiency and problem-solving skills.
Research PwC: Familiarize yourself with PwC's global presence, extensive experience in management consulting and advisory services, and commitment to professional development and cross-functional collaboration.
Prepare for Behavioral Interviews: Reflect on your experience working in collaborative environments, delivering client-focused solutions, and adapting to changes in technology, processes, or client requirements. Be prepared to discuss your approach to data governance, data integration, and data quality, as well as your alignment with PwC's core values.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to data and analytics roles, with a focus on MDM development, data governance, and data integration
Include web technology methodologies, data modeling principles, and real-time API usage relevant to MDM development
Emphasize data quality, data cleansing, and data validation processes in the context of MDM solutions
Address data governance policies, procedures, and best practices specific to MDM development and data integration
Highlight the importance of collaboration, cross-functional teamwork, and client-focused solutions in data and analytics roles

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information
Only include Enhancement Notes when making significant inferences about technical responsibilities, with specific reasoning based on role level and web technology industry practices
Be comprehensive but concise, prioritizing actionable information over descriptive text
Strategically distribute web technology and data analytics-related keywords throughout all sections naturally
Provide realistic salary ranges based on location, experience level, and data and analytics specialization

Industry Expertise:

Include specific MDM tools, data governance frameworks, and data integration technologies relevant to the role
Address data and analytics career progression paths and technical leadership opportunities in data and analytics teams
Provide tactical advice for MDM portfolio development, live demonstrations, and project case studies
Include data and analytics-specific interview preparation and coding challenge guidance
Emphasize data modeling, data quality, and data integration best practices in the context of MDM development

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout
Use web technology and data analytics industry terminology appropriately and accurately
Include comprehensive benefits and growth opportunities relevant to data and analytics professionals
Provide actionable insights that give data and analytics candidates a competitive advantage
Focus on data and analytics team culture, cross-functional collaboration, and user impact measurement

Technical Focus & Portfolio Emphasis:

Emphasize MDM development best practices, data governance principles, and data integration methodologies
Include specific portfolio requirements tailored to the data and analytics discipline and role level
Address data modeling, data quality, and data integration case studies with a focus on user experience and technical implementation
Focus on problem-solving methods, performance optimization, and scalable data architecture
Include technical presentation skills and stakeholder communication for data and analytics projects

Avoid:

Generic business jargon not relevant to data and analytics roles
Placeholder text or incomplete sections
Repetitive content across different sections
Non-technical terminology unless relevant to the specific data and analytics role
Marketing language unrelated to data and analytics, MDM development, or data integration

IN-Senior Associate_ Informatica Cloud MDM _ Data & Analytics_ Advisory_ Bangalore