Information Technology jobs in India

This role requires SAP AMS strategy and delivery across South India, overseeing client acquisition, operations, and transformational initiatives like automation and offshoring. It requires a seasoned person with deep regional insight, strong communication skills, and a proven ability to optimize shared service models in a dynamic enterprise environment.

The role involves managing a global end-to-end collections portfolio across industries. It is a highly strategic position, working closely with senior commercial leadership and executive sponsors at the CFO/COO level, leading a 30-40 member global team to drive B2B collections, process improvements, and dispute resolution, using S4 HANA and in-house reporting tools. This requires strong senior stakeholder engagement, and the ability to influence.

The incumbent will be responsible for leading the overall strategy, development, and management of the P&C product portfolio, ensuring they meet both customer needs and the company's financial goals. This will require a strategic approach who can work cross-functionally with sales, underwriting, marketing, actuarial, claims, and IT teams to create innovative and competitive insurance products.

The Head of R2R (Record-to-report) at the client, a leading global automotive giant, is responsible for overseeing the end-to-end Record to Report function, including activities across its subsidiaries. This strategic role sits within the Shared Services Centre of Excellence and operates under a hub-and-spoke model to ensure standardized, efficient, and compliant financial reporting and accounting services.

This role will be responsible for building up a greenfield GBS (global business services) organisation for a company in the logistics space. You will be involved in the scoping of the strategy along with management consultants, making key property decisions, evolving operating models, managing transfer pricing and transitioning processes in Finance, Procurement, HR, Supply Chain, Customer Support and IT

As the ASM - South, you will lead the sales team to achieve regional targets for innovative waterless cleaning solutions by developing and implementing strategic sales plans, managing key accounts, and driving revenue growth across the South India region. Your leadership and sales management techniques will be pivotal in expanding the company's market presence for its specialized cleaning products and overall regional sales performance.

This role leads end-to-end talent acquisition for the Financial Research Business Unit of a global investment-focused MNC, managing a team of 5-8 recruiters and partnering closely with front-office aligned business leaders. It requires deep expertise in hiring for financial research, strong stakeholder management, and a background in high-skill, analytical or investment-driven environments.

Our client is seeking a strategic, systems-driven CHRO to lead a cultural and capability transformation across the organization. This is not a traditional HR leadership role - it requires an architect's mindset, a psychologist's understanding, and an operator's discipline. The CHRO will own the design and execution of advanced HR systems that define hiring and shape the organisation into a high performer. CHRO's mandate: create a measurable, evolving human infrastructure aligned to character, culture, and business imperatives.

Location- GurgaonExternal Interfaces Internal Interfaces

* Contractor(s) - BPO Partners - Global CoE Data & Analytics team

* Vendors - Digital tools (SAP Ariba, Coupa, etc.)

* Vendors - Supplier Relation Management (SRM)

* Global Procurement GNFR

* Finance, accounting and Legal

* GNFR Stakeholders

* Global CoE - Data & AnalyticsJob Requirements Education

* Bachelor's degree in Supply Chain, Business Administration, Engineering, or a related field.

* MBA or relevant Master's degree preferred.Relevant Experience

* 10+ years of total experience in procurement, with a strong focus on process optimization, tools implementation, and transformation.

* Proven success in leading or supporting largescale S2P initiatives.

* Experience with procurement platforms such as SAP Ariba, Coupa, Oracle, and ERP systems like SAP.Behavioural Skills

* Strong analytical and problem-solving abilities.

* Excellent communication and stakeholder engagement skills.

* Proactive, organized, and adaptable in a fastpaced, global environment.

* Willingness to work flexible hours to collaborate across time zones.

* Strong project management mindset.Knowledge

* Strong understanding of end-to-end procurement processes, with a focus on Sourceto-Pay (S2P) transformation.

* Hands-on knowledge of procurement platforms such as SAP Ariba, Coupa, or other similar tools (e.g., Oracle, Ivalua).

* Experience in integrating procurement systems with ERP platforms such as SAP or Oracle * Familiarity with contract lifecycle management (CLM), supplier management, e-sourcing, and invoice automation.

* Working knowledge of data governance, compliance frameworks, and internal controls in a procurement context.

* Proficiency in Power BI or other business intelligence tools (e.g., Tableau, Qlik, Spotfire) for creating dashboards and data-driven insights.

* Strong command of Microsoft Excel (pivot tables, advanced formulas, data modeling) and PowerPoint for executive reporting.

* Basic understanding of cloud platforms (e.g., Azure, AWS, or GCP) for analytics is a plus. Roles & Responsibilities Analytics (Data & Insights)

* Drive implementation, optimization, and adoption of procurement platforms such as SAP Ariba, Coupa, Oracle (including CLM, e-Sourcing, and invoice automation).

* Collaborate with IT and cross-functional teams for seamless ERP integration.

* Monitor tool adoption and identify opportunities for automation and enhancement. Operational Excellence

* Lead and execute end-to-end procurement transformation initiatives, spanning S2P and P2P workstreams.

* Design and deliver standardized, automated, and scalable procurement processes aligned with global strategy.

* Define and implement procurement transformation roadmaps and process excellence frameworks.Stakeholder Management

* Engage and align with global stakeholders including Procurement, Finance, Legal, IT, and Business Units.

* Act as a change agent for procurement transformation, building awareness and ownership among stakeholders.

* Define KPIs and provide actionable insights to leadership through dashboards and reports.Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to businessData Governance & Quality Assurance

* Use data-driven analysis to identify trends, optimize procurement spend, and enable strategic sourcing.

* Build interactive dashboards (preferably in PowerBI) and ensure high data integrity and governance

Data Scientist (IT)Position:

Data ScientistJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:



§ 5+ years in developing and implementing forecasting models

§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)

§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques

§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)

§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.

§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages

§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud

§ [Mandatory] Proficiency in version control systems such as GitHub

§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team

§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience

§ Experience in Beauty or Retail/FMCG industry is preferred

§ Experience in handling large volume of data (>100 GB)

§ Experience in delivering AI-ML projects using Agile methodologies is preferred

§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:

Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria

§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators

§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions

§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed

§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios

§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities

§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations

§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement

§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility

§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions