Manager jobs in India

Seeking a seasoned and strategic HR leader to serve as the General Manager HR, responsible to establish and overseeing the Global HR life cycle management from the client's Mumbai Shared Services Centre.

The Deputy CFO will play a critical role in overseeing the financial strategy and operations. This position requires expertise in Accounting & Finance and a strategic approach to ensure the financial health of the organization.

Reporting to the APAC Senior Manager of Internal Audit, the Internal Audit Manager will be responsible for partnering with the Internal Audit management team. This is a hands-on role that will actively lead and/or participate in a variety of audits which includes all phases of audit planning, execution and communication of results to management.

We are looking for a Field Marketing Manager to lead regional marketing initiatives and drive brand awareness through impactful, on-ground programs. The ideal candidate will have a strong background in B2B marketing, event management, and partnership activation - with a passion for creating experiences that connect brands with their audiences in meaningful ways.

This role leads the creation and scaling of new revenue lines across API-led and affinity partnership models, driving growth through strategic alliances with BFSI, health, and consumer partners. It combines ownership of strategy, GTM, and P&L with cross-functional collaboration to build high-impact, scalable business verticals.

The Senior Procurement Manager will oversee procurement operations, ensuring cost-effective sourcing strategies and vendor management in the Data Center industry. This role requires experience in leading procurement strategy, managing supplier relationships, and delivering measurable cost savings.

A leading global manager of alternative investments is looking to hire an Analyst/Associate for its GIFT City office.

The GPMO role focuses on overseeing and managing global project management operations, ensuring alignment with business strategies. This position in Chennai requires expertise in project management methodologies, strong leadership skills, and certifications in SAP Activate and PMP.

This role involves leading a team that builds and maintains Python-based infrastructure critical to data analytics, storage, and services across the organization, with a strong focus on performance optimization using low-level programming and compilation techniques. The position also requires close collaboration with business teams to enhance workflows, along with responsibilities in people and project management.

The Manager / Sr. Manager R&D role involves spearheading research and development initiatives in the plastic industry, focusing on innovative solutions and product enhancement. This position, based in Mumbai, requires a strong technical background in engineering and manufacturing.

The PMO-Ops Excellence role focuses on driving operational excellence within the semi-conductor industry by managing projects, streamlining processes, and ensuring efficient execution. The position requires a detail-oriented professional with expertise in project management.

As the Pricing Lead for L&H India, you will work closely with primary insurers to understand and assist in the appropriate pricing of their reinsurance arrangements. The role is to ensure that we build a sustainable, profitable portfolio of Life & Health business by bringing the global expertise to the Indian market.

The Regional Business Manager (RBM) will oversee sales operations, drive revenue growth, and manage client relationships in Andhra Pradesh, Telangana, and Karnataka. This role is ideal for a sales professional with experience in the petfood / FMCG / pharma industries, looking to advance their career in a leadership position.

Our client is looking to hire a senior Construction Project Manager for a upcoming unique mixed-use development projects in the Delhi NCR region of over a 1 Mn sq. ft.

Senior Manager - SAP MM to oversee the SAP Materials Management (MM) function, with a strong focus on SAP S/4HANA. This is a hands-on role ideal for someone with in-depth knowledge of SAP MM, as well as cross-module experience with Quality Management (QM) and Production Planning (PP), particularly in the integration of these areas. The role requires managing a small team of 5-6 consultants while also coordinating with a larger SAP team of 40 members, both internal and external. Worked on BTP, CPI to build custom solutions & interfaces;

The position is a leadership role responsible for end to end management of all finance activities including and not limited to Business Planning and Analysis,Financial Reporting, Direct / Indirect Tax, Consolidation, Statutory, Internal Audits and Business Commercials. The ideal candidate will bring strong leadership, financial expertise, and business acumen to oversee the company's financial health, compliance, reporting, and planning.

The role of MT & Institutional Sales involves spearheading sales strategies and managing key accounts in the retail and health & beauty industry. This position will be based in Gurugram and requires a results-driven professional to enhance market presence and drive revenue growth.

• Collaborate closely with UI/UX designers and product managers
• Drive code reviews, best practices, and maintain high-quality standards
• Oversee CI/CD processes and DevOps integration

The role of GM Operations in the manufacturing industry involves overseeing the operational functions to ensure the efficient running of processes and optimal use of resources. This position is based in Mumbai and requires a strategic mindset to drive improvements and achieve business objectives.

The role is responsible for strategizing, designing, and executing digital onboarding solutions for partners and distributors, ensuring timely delivery of scalable tech functionalities aligned with business goals. The role demands strong leadership in agile project management, stakeholder collaboration, and digital product ownership within the financial services ecosystem.

The Assistant Manager - Tax will manage end-to-end direct tax compliance and audits for 25+ SPVs and holding companies engaged in the energy infrastructure sector. This role involves close coordination with consultants, internal teams, and senior leadership to ensure timely and accurate tax reporting and compliance.

Job Requirements
Education Bachelor's degree in business or related field is preferred
Relevant Experience * 2 years+ of experience in inventory demand planning * Proven track record in setting and achieving inventory short, medium and long-range inventory plans * Exceptional ability to communicate complex analytics in a clear, actionable manner to influence decision-making * Strong interpersonal skills to effectively collaborate with internal teams and external parties * Skilled in monitoring and measuring inventory demand planning performance against goals, with the ability to provide insights and make timely adjustments * Results-driven mindset with the ability to balance strategic planning and tactical execution Behavioural Skills * Delivery Excellence * Business Disposition * Social Intelligence * Innovation & Agility * Purposeful Leadership Technical Skills * Strong analytical skills with proficiency in inventory management software and tools (e.g., PDI, Relex) * Advanced proficiency in Excel and other data analysis tools; experience with visualization tools e.g., Power BI, Tableau etc. Knowledge * Data Analytics * Good knowledge in Power BI, MS Excel and Tableau

As a senior L4-Deputy General Manager for AI for Automotive Design, you will be a technical leader responsible for pioneering and deploying state-of-the-art generative AI and deep learning solutions that transform our automotive design processes. You will leverage your deep technical expertise to build systems that can convert 2D sketches into high-fidelity 3D models, generate realistic surfaces, and automate creative tasks.

Qualifications & Required Skills: Full-Time

bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.

 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.

 8+ years of experience in data engineering development and support.

 3+ years of experience in leading technical team of data engineers and BI engineers  Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.

 Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.

 Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.

 Strong communication, interpersonal, collaboration skills along with leadership capabilities.

 Ability to work effectively in a fast-paced, dynamic environment as cloud SME.

 Act as single point of contact for all kinds of data management related queries to make data decisions.

 Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.

 Conduct continuous audits of data management system performance and refine where necessary.

 Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.

 Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.

 Ensure data privacy measures comply with regulatory standards.Preferred

* Azure Data Factory (ADF), Databricks certification is a plus.

* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake

Job Requirements Education

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience

*3 - 4 years for Data Scientist

* Relevant working experience in a data science/advanced analytics role Behavioural Skills

*Delivery Excellence

*Business disposition

*Social intelligence

*Innovation and agility Knowledge

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

*Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

*Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

*Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

*Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

*Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

*Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)

Location- Gurgaon

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops