ERP Senior Specialist

Req ID: 381653 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a ERP Senior Specialist to join our team in Bengaluru, Hyderabad, PAN India, Karnātaka (IN-KA), India (IN).

Role purpose

Lead the extraction, transformation, loading, and reconciliation of HCM, Core HR, and Payroll data for the divested business unit, ensuring that active workers, assignments, payroll relationships, element entries, balances, payment methods, work structures, and payroll-related conversion data are migrated accurately and securely into the target Fusion instance.

Key responsibilities

• Own HCM, Core HR, and Payroll data conversion execution for in-scope workforce populations.
• Profile source HCM data to identify active employees, contingent workers, pending workers, assignments, work relationships, managers, departments, jobs, grades, positions, locations, legal employers, payroll relationships, and payroll eligibility.
• Prepare source-to-target mapping for person numbers, worker types, legal entities, payrolls, departments, jobs, positions, grades, locations, supervisors, costing, banks, payment methods, and payroll balances.
• Develop or coordinate extraction logic using HCM Extracts, BI Publisher, REST APIs, HDL exports where appropriate, and staged transformation logic.
• Prepare HDL/HSDL/load-ready files for person, work relationship, assignment, salary, element entries, payment methods, payroll relationships, costing, balances, and related HCM objects as applicable.
• Coordinate with functional leads to apply data privacy, masking, security, and regulatory controls during migration.
• Support payroll conversion design including opening balances, year-to-date balances, arrears, deductions, element entries, retro items, tax details, and bank/payment data.
• Support OTL and Projects dependencies by ensuring time reporters, project resources, assignments, schedules, and eligibility are available for downstream processes.
• Execute mock conversions, analyze HDL/import errors, correct transformation defects, and manage retest cycles.
• Build reconciliation reports for worker counts, assignments, payroll relationships, element entries, balances, payment methods, and payroll parallel comparison results.
• Support final cutover, post-load validation, payroll parallel, and hypercare issue resolution.

Required skills and experience

• Hands-on experience migrating Oracle Fusion HCM and Payroll data using HDL, HSDL, HCM Extracts, BI Publisher, REST APIs, or related loaders.
• Strong understanding of Core HR object models, date-effective records, work relationships, assignments, payroll relationships, element entries, balances, costing, and payment methods.
• Experience with payroll conversion, balance loading, payroll reconciliation, and payroll parallel testing support.
• Strong SQL/data transformation skills and ability to work with complex date-effective and hierarchical data.
• Understanding of data privacy, security, sensitive personal data, and controlled handling of payroll/HR data.
• Ability to troubleshoot HDL errors, dependency issues, object sequencing, and validation failures.
• Experience coordinating with OTL, Projects, Finance, integrations, and reporting teams for downstream workforce dependencies.
• Strong documentation skills for mapping, transformation rules, load files, reconciliation reports, and cutover steps.

Key deliverables

• HCM/Core HR/Payroll data inventory and source-to-target mapping workbook.
• HCM extract specifications, transformation logic, and load sequencing plan.
• HDL/HSDL/load-ready files for in-scope workers, assignments, payroll objects, balances, and related data.
• HCM and payroll data quality reports and cleansing issue log.
• Mock conversion logs, HDL error analysis, and remediation tracker.
• Worker, assignment, payroll relationship, element, balance, and payment reconciliation pack.
• Cutover load runbook and hypercare data support guide.

Success measures

• In-scope workforce population is migrated accurately with correct work structures, assignments, payroll relationships, and security dependencies.
• Payroll balances and parallel results reconcile to agreed thresholds.
• HDL/HSDL loads are repeatable, controlled, and executable within cutover timelines.
• HR and payroll business owners approve migration results before go-live.

Typical collaboration points

Works closely with HCM/Payroll Functional Specialists, OTL teams, Projects, Finance, Security, Integration Developers, Reporting/EPM, and HR/payroll operations.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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