11+ Supervisory management Jobs in Chennai | Supervisory management Job openings in Chennai

Job Description:

We are looking for an experienced SAP SuccessFactors Consultant with strong functional and implementation expertise across SAP SuccessFactors modules. The ideal candidate will have hands-on experience in end-to-end implementations, integrations, and support projects, working closely with business stakeholders to deliver scalable and compliant HR solutions.

Roles & Responsibilities

Lead and support design, configuration, and implementation of SAP SuccessFactors solutions.

Work on end-to-end SuccessFactors implementations, rollouts, and support engagements.

Configure and support key SuccessFactors modules such as Employee Central,

Recruitment, Onboarding, Performance & Goals, Compensation, Learning, and

Succession (based on project needs).

Collaborate with business stakeholders to gather, analyze, and translate HR requirements into system solutions.

Support integration of SuccessFactors with SAP S/4HANA, ECC, and third-party systems using standard integration tools.

Manage data migration activities, including data validation and reconciliation.

Provide system testing support, including unit testing, UAT, and defect resolution.

Deliver end-user training, documentation, and post-go-live support.

Act as a customer-facing consultant, ensuring high-quality delivery and client satisfaction.

Ensure adherence to organizational processes, data security, and compliance standards.

Assist in reporting, monitoring, non-conformity management, and corrective actions related to ISO standards.

Qualification

Minimum of 6 years of overall experience in SAP SuccessFactors consulting and implementations.

Hands-on experience in at least one full-cycle SAP SuccessFactors implementation, with exposure to rollouts and support projects.

Strong functional expertise in one or more SuccessFactors modules (Employee Central mandatory; others preferred).

Experience with SuccessFactors integrations, including SAP standard integrations and third-party systems.

Solid understanding of HCM business processes, HR data models, and best practices.

Experience in data migration, system configuration, and testing activities.

Ability to work in Agile or hybrid project delivery models.

Strong analytical, problem-solving, and solution-design capabilities.

Excellent communication and stakeholder-management skills.

Ability to work independently as well as in a collaborative team environment.

Desirable / Nice to Have:

SAP SuccessFactors certification(s) in Employee Central or other modules.

Experience working in a consulting environment.

We are seeking a Partner Program Manager to join our global team, responsible for implementation and execution of NuoData's partner program initiatives. In this role, you will help manage key elements of our partner ecosystem to support revenue growth, enhance partner profitability, and ensure a positive partner experience with NuoData. You will report to Senior Director, Marketing, Partnerships, and GTM and collaborate with cross-functional teams across our global offices.

Responsibilities:

• Develop and manage global partner program that drives sales through acquisition and onboarding of solutions, software, services, hyperscalers, technology, system integrators, and vertical industry partners.
• Partner scouting, vetting, and determining product and services that compliments NuoData.
• Establish partner relationships through portal registration and alliance contacts.
• Ensure NuoData receives the optimum benefit from the partner relationship.
• Develop joint go-to-market programs delivering co-branded campaigns, sales enablement, and join sales efforts.
• Design and oversee partner reseller benefits and incentives that motivates top-performing partners.
• Mitigate partner conflict, competition with NuoData and other partner solution overlap, and product offerings.
• Help maintain program structure elements including partner tiering, rules of engagement, qualification processes, and training standards.
• Collaborate with regional teams to track partner performance against established metrics and support partner success initiatives.
• Assist with the implementation of training and certification programs that develop partner capabilities.
• Monitor program effectiveness through data collection and analysis to support continuous improvement efforts.
• Implement process improvements and enhance program scalability.
• Maintain documentation for program policies and processes.
• Setup regular business reviews (QBRs) to track KPIs, partner-sourced revenue, and product integration.
• Contribute to partner community-building initiatives, events and forums.
• Write copy for partner content on web, newsletters, and partner marketing materials.

Required Skills:

• 3-5 years of experience in partner programs, portals, relations, and successes, in similar roles in B2B SaaS companies.
• Has the technical knowledge and understanding of cloud infrastructure, data management and engineering, APIs, and industry technology stack.
• Strong understanding of partner operations, sales strategies, partner business models, and partner lifecycle management.
• Experience supporting partner onboarding, enablement, and development processes.
• Familiarity with partner engagement strategies for account management and growth.
• Solid organizational and project management skills
• Detail-oriented with an analytical approach to problem-solving
• Experience with channel sales motion (co-sell, resell, or distributor)
• Ability to work effectively in a hybrid environment and build relationships remotely
• Balanced approach to implementing immediate solutions while supporting long-term program optimization

IMP: Please read through before applying!

Nature of role: Full-time; On-site

Location: Thiruvanmiyur, Chennai

Responsibilities:

Build and manage automation workflows using n8n, Make (Integromat), Zapier, or custom APIs.

Integrate tools across JugaadX, WhatsApp, Shopify, Meta, Google Workspace, CRMs, and internal systems.

Develop and maintain scalable, modular automation systems with clear documentation.

Integrate and experiment with AI tools and APIs such as OpenAI, Gemini, Claude, HeyGen, Runway, etc.

Create intelligent workflows — from chatbots and lead scorers to content generators and auto-responders.

Manage cloud infrastructure (VPS, Docker, SSL, security) for automations and dashboards.

Identify repetitive tasks and convert them into reliable automated processes.

Build centralized dashboards and automated reports for teams and clients.

Stay up-to-date with the latest in AI, automation, and LLM technologies, and bring new ideas to life within Jugaad’s ecosystem.

Requirements:

Hands-on experience with n8n, Make, or Zapier (or similar tools).

Familiarity with OpenAI, Gemini, HuggingFace, ElevenLabs, HeyGen, and other AI platforms.

Working knowledge of JavaScript and basic Python for API scripting.

Strong understanding of REST APIs, webhooks, and authentication.

Experience with Docker, VPS (AWS/DigitalOcean), and server management.

Proficiency with Google Sheets, Airtable, JSON, and basic SQL.

Clear communication and documentation skills — able to explain technical systems simply.

Who You Are:

A self-starter who loves automation, optimization, and innovation.

Comfortable building end-to-end tech solutions independently.

Excited to collaborate across creative, marketing, and tech teams.

Always experimenting with new AI tools and smarter ways to work.

Obsessed with efficiency, scalability, and impact — you love saving time and getting more done with less.

What You Get:

A strategic and hands-on role at the intersection of AI, automation, and operations.

The chance to shape the tech backbone of Jugaad and influence how we work, scale, and innovate.

Freedom to experiment, build, and deploy your ideas fast.

A young, fast-moving team where your work directly drives impact and growth.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

• Expertise in Typescript, Nodejs and Golang. 
• Prior working experience in Hyperledger 2.x. 
• Strong understanding of blockchain, smart contracts, consensus mechanisms and cryptography. 
• Proficiency in developing Chain codes/Smart Contracts. 
• Experience building front end applications using Angular. 
• Proficient in MongoDB. 
• Experience with Relation databases like MySQL, MSSQL. 
• Write application code, smart contracts, and unit test cases according to the quality guidelines. 
• Work across multiple teams, mentor junior developers and actively participate in code reviews. 
• Co-ordinate with architects to produce technical designs.  
• Skilled in Docker, Kubernetes, Nginx, Git. 
• Knowledge of design patterns and best practices. 
• Document the development process, architecture, and standard components. 
• Awareness of CI/CD pipelines.