IN_Associate_ERP Techno-Functional_Data and Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

In data strategy at PwC, you will focus on developing and implementing strategic plans to effectively manage and utilise data within the organisation. You will analyse business requirements, identify data needs, and define data governance frameworks. Your work will involve collaborating with stakeholders to align data initiatives with organisational goals, supporting the use of data to drive informed decision-making and support business growth.

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:  

Seeking a highly skilled Techno-Functional Lead to serve as the bridge between legacy IFS environment and new SAP S/4HANA digital core. Who will be the primary technical architect for the IFS data extraction workstream, responsible for translating legacy business logic into optimized SAP-ready data. 

This role requires a rare blend of deep IFS functional & technical proficiency (PL/SQL/Oracle), ensuring that data is not just moved, but cleansed, validated, and aligned with global best practices. 

Responsibilities: 

1. Data Migration Leadership & Strategy 

• Workstream Ownership: Manage the end-to-end business data migration lifecycle, from initial extraction in IFS to providing a validated load file for the SAP team. 

• Stakeholder Coordination: Identify and manage Data Owners and Reconcilers across functional units (Finance, SCM, Manufacturing) ensure they understand their roles in the validation process. 

• Gap & Dependency Analysis: Map dependencies between data objects (e.g., ensuring Vendor migration precedes Purchase Order migration) and lead deep-dive sessions to resolve mapping conflicts. 

• Governance: Ensure all data migration activities comply with regulatory, security, and audit requirements. Manage the sign-off of Data Object Migration Specifications documents for all stndard & custom objects. 

2. Technical Execution (IFS & Extraction) 

• Legacy Extraction: Write and optimize complex SQL/PL-SQL queries to extract master and transactional data from IFS Oracle back-end tables. 

• Logic Translation: Document and reimagine complex custom logic, events, and IFS Lobbies that need to be transitioned or retired in the SAP environment. 

• ETL Management: Oversee the Extraction, Transformation, and Validation (ETL) of data objects, ensuring zero loss of integrity during the move from Oracle to the SAP HANA in-memory database. 

3. Functional Alignment & Testing 

• Data Cleansing: Partner with business stakeholders to identify issues in legacy data and drive cleansing activities to prevent migrating technical debt. 

• UAT Support: Support User Acceptance Testing (UAT), assisting users in reconciling IFS legacy data. 

• Documentation: Maintain a rigorous Data Object Register and detailed mapping logic for future reference. 

Mandatory skill sets: 

 Required Qualifications 

Technical Requirements 

• IFS Expertise: 6+ years of experience with IFS (Apps 9, 10, or Cloud). Expert-level knowledge of IFS Solution Manager and underlying Oracle table structures. 

• SQL Mastery: Advanced proficiency in SQL and PL-SQL is mandatory for high-volume data extraction. 

• Data Migration Background: Proven track record of leading at least one major ERP migration project (ideally IFS to SAP). 

• Tooling: Familiarity with ETL tools and data validation frameworks. (Experience with Syniti, SAP Migration Cockpit/LTMC is a major plus, though the primary focus is the IFS side). 

Soft Skills & Leadership 

• Change Management: Ability to coach legacy users through the transition from IFS Aurena/IEE interfaces. 

• Analytical Mindset: A "quality-first" approach—the ability to identify data anomalies before they impact the target system. 

• Project Management: Proven ability to manage risks, identify constraints, and hit milestones in a fast-paced. 

Preferred skill sets: 

Preferred Certifications 

• IFS Certified Practitioner or Developer.  (Must Have) 

• Good to have exposure on SAP Activate Methodology or S/4HANA Conversion 

Years of experience required: 

6+ years 

Education qualification: 

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) 

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

Degrees/Field of Study required: Master Degree, Bachelor Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Enterprise Resource Planning (ERP)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Automation, Communication, Creative Solutions Development, Data Governance Training, Data Infrastructure, Data Integrity, Data Management Plan (DMP), Data Monetization, Data Quality Improvement Plans (DQIP), Data Stewardship Frameworks, Data Strategy, Data Warehouse Governance, Emotional Regulation, Empathy, Inclusion, Information Security, Intellectual Curiosity, Knowledge Management, Management Information System (MIS), Operating Model, Optimism, Process Governance {+ 5 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

September 5, 2025