Manager - HR Projects - Mumbai - Lodha I-Think Techno Campus

Tata Capital

Thane

On-site

INR 1,200,000 - 1,800,000

Full time

6 days ago
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Job summary

Tata Capital is seeking an experienced HR Technology and Integration Lead to own the HR technology landscape, including HRMS, recruitment and payroll systems, and to drive AI-enabled automation and integrations across multiple platforms.

You will partner with HR, IT and vendors to design robust solutions, manage data governance, and deliver seamless user experience while ensuring data security and compliance. 4–5 years’ experience in HR technology is preferred.

Qualifications

  • 4–5 years of overall experience in HR technology and HRIS domains.
  • Strong exposure to HRMS and multiple integrated business applications.
  • Proven experience with API and SFTP-based integrations and data mappings.

Responsibilities

  • Own and manage HR technology ecosystem including HRMS, Talent, Recruitment, Payroll and other HR applications.
  • Design, implement and manage integrations across multiple HR systems using APIs, SFTP and data exchange formats.
  • Identify AI/GenAI use cases within HR to improve efficiency and employee experience.
  • Manage and enhance HR RPA bots and automation initiatives.
  • Lead HRMS transformation, data migration, testing and production cutover.
  • Define data governance, data ownership and compliance for HR data across systems.

Skills

HR Technology
HRMS
APIs
RPA & Automation
GenAI
Data Governance
Integration Monitoring
Stakeholder Mgmt

Tools

Oracle HCM
PeopleStrong
Happay
Quest2Travel
Disperz

Job description

Key Responsibilities
1. HR Technology & Application Management
  • Own and manage the organizations HR technology ecosystem, including HRMS, Talent, Recruitment, Payroll, Travel, Expense, Learning and other HR applications.
  • Manage applications such as Oracle HCM, PeopleStrong, Happay, Quest2Travel, Disperz and other connected business applications.
  • Act as the primary technology SPOC between HR, IT, Business Application teams, vendors and implementation partners.
  • Drive application enhancements, configuration changes, upgrades, releases and new technology implementations.
  • Ensure application availability, performance, security and seamless user experience.
  • Manage application incidents, defects, change requests and escalations through defined SLAs.
  • Identify opportunities to simplify, consolidate and optimize the HR application landscape.
2. Integration Management – Core Responsibility
  • Own the end-to-end HR technology integration landscape across multiple applications.
  • Design, implement and manage integrations using:
    • REST/SOAP APIs
    • SFTP/file-based integrations
    • JSON/XML/CSV data exchange
    • Other integration mechanisms, wherever applicable.
  • Understand source-to-target data flows, integration architecture, transformation logic, validations and error handling.
  • Work closely with IT integration teams and vendors to design robust integration solutions.
  • Monitor integration failures, perform root-cause analysis and drive permanent resolution.
  • Establish appropriate monitoring, alerting, reconciliation and exception-handling mechanisms.
  • Ensure data integrity across upstream and downstream applications.
  • Maintain integration documentation, data mappings, interface specifications and dependency matrices.
  • Review and validate integration designs proposed by vendors/implementation partners.
  • Drive automation of integration monitoring and reduce manual intervention.
  • Manage integration changes during HRMS implementations, mergers, organizational restructuring and application changes.
3. AI & HR Technology Automation
  • Identify and implement AI/GenAI use cases within HR to improve efficiency, employee experience and decision-making.
  • Evaluate emerging AI capabilities and assess their applicability to HR processes.
  • Design and deliver practical AI-led solutions rather than limiting AI adoption to experimentation.
  • Work with HR stakeholders to identify processes suitable for AI automation.
  • Partner with internal technology teams and vendors to implement AI solutions while ensuring appropriate data privacy, security and governance.
4. RPA / HR Bots
  • Manage and enhance existing HR RPA bots supporting day-to-day HR operations.
  • Monitor scheduled bot runs and ensure timely completion of critical HR automations.
  • Troubleshoot bot failures and coordinate with RPA/technology partners for resolution.
  • Identify repetitive HR processes suitable for automation and develop the business case for automation.
  • Drive transition from manual/repetitive activities to automated workflows.
  • Ensure appropriate logging, exception handling, audit trails and monitoring for bots.
  • Continuously evaluate whether existing RPA solutions can be replaced or enhanced using APIs, workflow automation or AI.
5. HRMS Transformation & Implementation
  • Support implementation, migration and transformation of HRMS platforms.
  • Lead technology workstreams covering Core HR, Recruitment, Onboarding, Performance, Compensation, Payroll, Leave & Attendance and other HR modules.
  • Define business requirements, HLD/LLD, integration requirements, data migration requirements and test scenarios.
  • Work with implementation partners to ensure solutions meet business requirements.
  • Lead data migration activities including data extraction, transformation, validation and reconciliation.
  • Manage integration testing, UAT, parallel runs and production cutover.
  • Ensure appropriate documentation and knowledge transfer from implementation partners to the internal team.
6. Data, Reporting & Governance
  • Ensure data consistency and integrity across HR applications.
  • Define data ownership, source-of-truth and data flow across systems.
  • Develop and maintain data dictionaries and integration mappings.
  • Support HR reporting, dashboards and analytics requirements.
  • Ensure appropriate controls around employee data access and data exchange.
  • Work with Information Security, IT and HR stakeholders on data privacy and compliance requirements.
Core Technical Skills

The candidate should have strong practical knowledge of:

Integration
  • REST APIs/ SOAP APIs/ SFTP integrations
  • API Integrations
  • Data transformation and mapping
  • Integration monitoring and error handling
  • Understanding of middleware/integration platforms
  • Strong understanding of Generative AI and LLM capabilities
  • RPA & Automation
Experience
  • 4–5 years of overall experience, with significant experience in HR Technology / HRIS / Enterprise Applications.
  • Strong experience managing HRMS and multiple integrated business applications.
  • Proven experience managing API and SFTP-based integrations.
  • Experience in HR technology transformation / HRMS implementation or migration.
  • Hands-on exposure to AI/GenAI and automation is strongly preferred.
  • Experience managing RPA bots and automation initiatives will be an advantage.
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