
Role Summary:
We are seeking an experienced Master Data Management Specialist to support an enterprise Oracle Fusion Transformation. This role will focus on master data readiness, data quality, governance, migration support, and boundary-system alignment across key business domains.
The ideal candidate has hands-on experience with ERP transformation programs, preferably Oracle Fusion Cloud, and understands master data in a food manufacturing, process manufacturing, CPG, or regulated supply chain environment.
Location: Hyderabad, Bangalore, Gurgaon and Mumbai.
Key Responsibilities
- Support master data readiness for Oracle Fusion design, build, mock loads, UAT, cutover, and hypercare.
- Perform data profiling, cleansing, deduplication, validation, and remediation tracking.
- Create and maintain source-to-target mappings from legacy systems to Oracle Fusion.
- Support data migration cycles, mock load validation, reconciliation, and data defect resolution.
- Partner with IT, business data owners, system integrators, and data stewards to define ownership, rules, and approval workflows.
- Support boundary-system data contracts, including field-level rules, ID crosswalks, downstream integration impacts, and reconciliation controls.
- Help establish sustainable data quality metrics, monitoring, lineage, and stewardship processes.
- Support reporting and analytics readiness by ensuring trusted master data dimensions and consistent reference data.
- Data domains scope:
o Customer, supplier, contact, and trading partner master data.
o Product, item, SKU, BOM, specification, category, and UOM data.
o Location, site, plant, warehouse, address, and inventory location data.
o Finance master data, including chart of accounts, legal entities, ledgers, cost centers, and hierarchies.
o Workforce / HCM reference data, including workers, jobs, positions, departments, and organization structures.
o Reference data such as tax codes, payment terms, value sets, shipping methods, and lookup values.
o Quality, specification, traceability, asset, equipment, recipe, formula, routing data.
Required Experience
- 10+ years of experience in MDM, data governance, data quality, ERP data migration, or enterprise data management.
- Hands-on experience supporting ERP implementation or transformation programs.
- Strong knowledge of master data lifecycle management, data stewardship, and data quality controls.
- Experience with data profiling, cleansing, deduplication, validation, reconciliation, and defect management.
- Experience developing source-to-target mappings, transformation rules, and data load validation support.
- Ability to work across IT, business teams, system integrators, and data owners.
- Strong documentation, analytical, and issue-resolution skills.
Preferred Experience
- Oracle Fusion Cloud ERP experience.
- Oracle Product Hub, Oracle SCM, Oracle Procurement, Oracle Financials, or Oracle MDM experience.
- Food manufacturing, CPG, process manufacturing, or regulated supply chain experience.
- Experience with product/item, supplier, customer, plant/location, quality, recipe/formula, BOM, routing, or traceability data.
- Experience with boundary systems such as PLM, QMS, EAM, CRM, procurement platforms, legacy ERP, data warehouse, or reporting tools.
- Experience supporting mock loads, UAT, cutover, hypercare, and post-go-live data operations.

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Experience : 2+ Years
Location : Mumbai (Onsite)
Employment Type : Full-Time
Reports To : AI Architect
About the Role :
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Mandatory Skills :
Python, Large Language Models (LLMs), Generative AI, AI Agents/Agentic Workflows, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs (or equivalent), Vector Databases, REST APIs, AI Workflow Orchestration, Client-Facing Experience, and Strong Analytical & Problem-Solving Skills.
Key Responsibilities :
- Analyze and improve existing AI workflows, LLM implementations, and AI agents.
- Design AI solutions and agent workflows aligned with business objectives.
- Define and implement AI guardrails, governance practices, and risk controls.
- Build evaluation frameworks to measure accuracy, reliability, latency, and cost efficiency.
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Required Skills & Qualifications :
- 2+ years of experience in AI/ML Engineering, Generative AI, Machine Learning, or related domains.
- Strong analytical thinking and problem-solving skills with a systems-oriented mindset.
Hands-on experience with :
- Large Language Models (LLMs)
- AI Agents and Agentic workflows
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI workflow orchestration
Strong proficiency in :
- Python
- REST APIs
- Data structures and algorithms
- Experience working with:
- LangChain or similar frameworks
- OpenAI APIs or equivalent AI platforms
- Vector databases
- Embedding models
Understanding of :
- AI governance
- Model evaluation techniques
- Responsible AI principles
- Strong written and verbal communication skills.
Preferred Skills :
- Experience in client-facing or consulting environments.
- Exposure to enterprise AI implementations and production deployments.
Experience with :
- Cloud platforms (AWS, Azure, or GCP)
- Docker and containerized deployments
- MLOps practices
- AI monitoring and observability tools
- Exposure to regulated or high-risk industries is a plus.
Educational Qualification :
- Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field.
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Identify, report, and track bugs using tools such as Click Up
Execute functional, regression, integration, and system testing
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Job Role: Senior Sales Executive/ Sales Executive
Job Responsibilities
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- Achieve growth and hit sales targets.
- Implement a business plan that expands the company’s customer base and ensures its strong presence
- Leverage sales tools and resources to identify new sales leads and nurture prospect relationships
- Collaborate with sales leaders
Job Specifications:
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- Successful previous experience as a sales representative or sales Executive, consistently meeting or exceeding targets.
- Strong business sense and industry expertise
- Ready to Travel
Experience: 1-4below-required Years of Field Sales experience preferably in the Edtech industry
If interested, revert with your updated resume at with the below required details:
Relevant Work Experience:
Current Salary:
Expected Salary:
Notice Period:
Thanks & Regards
Mayanka
Senior HR Recruitment
Responsibilities:
• Counselling for prospective applicants and their parents in-Person during the admission processing
• Helping students to choose the right courses according to their interests and education.
• Comparison of course benefits and career opportunities.
• Managing complete admission processing Regular follow-up with leads
• Converting students and Enquiries to admission
• Regular activities to convert negative leads into positive leads.
• Dedicated to work.
Requirements:
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• Must have basic knowledge in IT (software)
Job Responsibilities:
- Collaborate with other senior engineers, and management, to achieve optimal application architecture and design
- Develop efficient, secure applications, peer-review code, and document solutions within an agile-blended software environment
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Skills:
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Knowledge of .Net 2.0, 3.5 and 4.0 coding using C#.
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PLEASE READ THE REQUIREMENTS AND APPLY
Outbound Lead Generation Campaign(No Sales)
Complete Voice Based Job covering US and Canada
Night Shift job with fixed Sat and Sunday Off
At Alyve Health, we are building an AI powered digital health ecosystem which helps our members achieve outcomes. This is an opportunity to be a part of the founding team and work with senior founders who come from excellent professional pedigree. More importantly, this is an opportunity to significantly impact our members’ lives.
Work @ Alyve Health
In our prospective hires, we not only look for technical skills but also a culture fit. Everything we do is targeted at improving health outcomes of our customers – we are obsessed with this one thing and it guides all our decision making. We have no “pryamids” – if you join us, you will be trusted with the same information and degree of freedom that our founders have. We are a team of do-ers and creators. Finally, we take a lot of pride in having the courage to do things which perhaps nobody else would have done in the past; we look to innovate every minute of every day and decide boldly as well as quickly.
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