Senior Partner Development Manager in India

Opportunity Overview: We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards.. This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment. What you’ll do: Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements. Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.). Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security. Ensure data consistency and quality in reports by working closely with the data management team. Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines. Perform data analysis and ad-hoc queries to support business decision-making. Stay current with industry best practices and emerging BI technologies. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of secu

Opportunity Overview: We are looking for a Senior Clinical Configuration Analyst to play a key role in the technical configuration of platform requirements for Cohere’s Platform-as-a-Service (PaaS) clients. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with client-facing team members to understand and deliver key clinical configurations that are integral to helping new and existing clients meet their prior authorization automation goals. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Ensure thorough understanding of client’s technical requirements to facilitate seamless configuration of platform requirements during new client implementations Test configurability of new product functionality, or enhanced existing functionality, built to accommodate custom client requirements Define test scenarios and success criteria for all new and existing client platform configurations Execute on configuration of platform requirements in accordance with project timelines and client expectations Triage and resolve technical issues, during end-to-end testing or post-implementation, in a timely manner to ensure client satisfaction Serve as a technical SME for client-facing analysts during each stage of the customer lifecycle: providing education and answers to questions around configurability of client platform requirements; occasionally interfacing directly with clients to address issues Collaborate with Product, Development, Design, and Engineering to scope, develop, and implement internal configuration management tools that will help scale configuration work Required Qualifications: Must-haves 3-6 years of professional experience in a Configuration Management role; Bachelor’s degree in Computer Science, Systems Engineering, or related field Problem-Solving

We are looking for an experienced Senior Manager - Data Loss Prevention (DLP) - to join us! As a Senior Manager, you will work as a part of our Cyber Security team, and you will collaborate with other IT professionals to ensure that sensitive data is protected from unauthorized access misuse, and breaches. Your role will also cover Data Security Posture Management (DSPM), disk encryption controls, discovery and classification technologies, and Database Activity Monitoring (DAM) solutions. Source: Adani Group | Job ID: 57062

The BU CISO is a senior leadership role responsible for overseeing the cybersecurity posture, strategy, and risk management within a specific business unit (BU) of the organization. This role will ensure that cybersecurity initiatives are aligned with the strategic goals of the business unit, while maintaining overall compliance with corporate security standards, policies, and regulatory requirements. The BU CISO will work closely with business unit leaders, IT, legal, and compliance teams to create and implement robust cybersecurity frameworks, address emerging risks, and safeguard the organization’s critical assets. Source: Adani Group | Job ID: 56131

We are seeking an experienced Senior Structural Engineer to lead the civil and structural design of RCC and structural steel projects across industrial and township developments. The role requires strong expertise in analysis, design review, tender engineering, multidisciplinary coordination, and site support, with a focus on safety, quality, compliance, and cost optimization Source: Adani Group | Job ID: 51874

Role Overview: The Procurement Manager / Senior Manager will be responsible for strategic sourcing, vendor management, contract negotiations, and procurement operations across Administration, Human Resources, and Insurance categories. The role is responsible for delivering cost efficiencies, ensuring service quality, managing supplier risks, and supporting business objectives through effective procurement practices and stakeholder engagement. Key Responsibilities: 1. Procurement & Category Management  Lead procurement for Admin, HR, offsite events, travel, Insurance etc.  Drive sourcing strategies, vendor selection, and commercial negotiations.  Ensure timely PR-to-PO cycle management and adherence to procurement policies. 2. E-Auction & Strategic Sourcing  Plan and execute e-auctions/RFQs to drive competitive pricing and transparency.  Identify suitable categories for e-auctions and maximize cost savings.  Analyze bid data and finalize vendors based on techno-commercial evaluation. 3. Vendor Management & Development  Identify, evaluate, and onboard new vendors.  Maintain strong vendor relationships and monitor performance (SLAs/KPIs).  Drive competitive bidding and cost benchmarking across categories. 4. Commercial & Contract Management  Lead commercial negotiations to achieve cost savings and value optimization.  Draft, review, and finalize contracts/agreements in coordination with legal teams.  Ensure compliance with organizational policies and audit requirements. 5. Stakeholder Management  Collaborate with internal teams (Admin, HR, Business, Finance) to understand requirements.  Provide procurement advisory and ensure alignment with business objectives. 6. Process, ERP & Governance  Manage end-to-end procurement lifecycle on ERP platforms (PR creation, PO issuance etc).  Monitor PR/PO aging and drive timely closures.  Drive process improvements and automation initiatives. Key Requirements:  8–12+ years of relevant e

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

Opportunity Overview: We are seeking a proactive and detail-oriented Senior Executive - Procurement & Vendor Management to oversee the smooth day-to-day functioning of our office. This role will be responsible for procurement request details gathering and confirmation, market research on requested items, sourcing and evaluation of vendors, Negotiations, Terms and conditions validation, vendor management and coordination. The ideal candidate will be highly organized, resourceful, and comfortable working in a fast-paced environment with minimal supervision. What you’ll do: Manage the complete procurement cycle, including purchase requisitions, RFQs, quotations, purchase orders, and delivery follow-ups. Identify, evaluate, onboard, and maintain relationships with reliable vendors and suppliers. Obtain and compare vendor quotations based on price, quality, delivery timelines, and commercial terms. Negotiate pricing, payment terms, contracts, and service-level agreements with vendors. Monitor vendor performance, including quality, delivery, responsiveness, and adherence to agreed terms. Maintain an updated vendor database, contracts, pricing information, and procurement records. Coordinate with internal departments to understand procurement requirements and ensure timely availability of materials/services. Prepare and Track purchase orders, deliveries, invoices, and payment status in coordination with Finance and Accounts. Resolve vendor-related issues, including delivery delays, quality concerns, pricing discrepancies, and invoice disputes. Support vendor audits, compliance checks, and periodic supplier performance reviews. Identify cost-saving opportunities and alternative suppliers. Ensure procurement activities comply with company policies, approval processes, and applicable regulations. Prepare procurement reports, vendor performance reports, cost analyses, and management dashboards. Maintain proper documentation and records for audit and compliance purpos

Assistant Lead - Solution Architect will play a critical role in assisting senior architects in designing and implementing robust, scalable, and secure architecture solutions that meet the organization's business objectives. The individual will work closely with cross-functional teams, providing technical leadership, guiding the development of architecture strategies, and ensuring alignment with both business goals and best industry practices. Source: Adani Group | Job ID: 52365

Position Summary: We are seeking an experienced and dynamic Associate/Senior Associate – Vendor Onboarding to join our Procurement Operations team. The ideal candidate will have strong experience in Vendor Management, SAP MM, SaaS-based Procurement Platforms, MS Office, reporting, and stakeholder coordination. The role will be responsible for managing end-to-end vendor onboarding activities, coordinating with suppliers and internal stakeholders, ensuring compliance, and driving process efficiency through data analysis and reporting. Key Responsibilities: Vendor Onboarding & Management  Manage end-to-end vendor onboarding processes, including document collection, verification, due diligence, and system registration.  Coordinate with vendors through calls, emails, and meetings to ensure timely completion of onboarding requirements.  Ensure vendor master data accuracy and compliance with organizational policies.  Support vendor lifecycle management activities, including updates and maintenance of vendor records. SAP & Procurement Operations:  Work extensively on SAP MM and SaaS-based procurement platforms for vendor onboarding and master data management.  Coordinate between procurement, finance, compliance, and business teams to facilitate smooth onboarding.  Resolve onboarding-related issues and provide operational support to stakeholders. Dashboard & Reporting  Develop and maintain management dashboards, MIS reports, and performance trackers using MS Excel and other reporting tools.  Analyze onboarding metrics and generate actionable insights for management.  Monitor onboarding turnaround times and identify opportunities for process improvement. Stakeholder Management  Collaborate with internal business stakeholders to understand onboarding requirements and provide timely support.  Maintain strong relationships with vendors and internal teams.  Ensure effective communication and follow-up with all stakeholders to achieve onboarding targets. Require

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

Lead Revenue Assurance lead and oversee the end-to-end revenue assurance process across multiple business entities by ensuring seamless coordination with senior stakeholders, driving adherence to KPIs, SLAs, and KRAs, resolving systemic issues, and leading continuous process improvement across teams. The role requires strategic oversight of revenue assurance activities, team performance monitoring through team leads, and high-level stakeholder engagement with operations and finance leadership. Source: Adani Group | Job ID: 41519

DR ASHWANI KUMAR VIJ : Have been retained by a Growing, Reputed and professionally managed Real Estate Group ( For Their Affordable Housing Project ) to select 1 : General Manager / AGM / Head - Sales - Gurgaon ( Real Estate only). Job Location: Gurgaon Job Description: Hiring and training sales staff Ensuring that department meets its sales targets Plan and assign daily workload to sales team Developing a departmental strategic plan Ensuring customer's expectations are fulfilled Respond to escalated customer complaints in a timely manner Overseeing the budget Represent company brand in sales conference and trade shows Evaluate current sales processes and recommend improvements Identify selling strategies and opportunities to increase revenue Desired Candidate Profile : Candidates must be from Real Estate background, with a minimum experience of 4-5 years in selling affordable housing in gurgaon region. Experienced Professionals having less than 10 years of experience From Real Estate Sector would be considered for the Position of AGM / Head / Senior Manager / Manager - Sales Age Desired : 32-35 Years. MBA / PGDM in Marketing having 10-12 years of relevant experience Preferred. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete/Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at: