We are looking for a Tail Spend Management Consultant to establish and operationalize a centralized procurement capability across multiple business units. The role will focus on improving tail spend visibility, supplier governance, sourcing effectiveness, compliance, cost savings, and procurement process efficiency.
The ideal candidate should have strong experience in Procurement Operations, Strategic Sourcing/S2C, Tail Spend Management, Supplier Management, Spend Analytics, and Procurement Technology.
Key Responsibilities
Define and govern Tail Spend Management frameworks across multiple business units.
Perform spend analysis, classification, segmentation, and data cleansing to identify tail spend opportunities.
Develop supplier segmentation and drive supplier rationalization, consolidation, and optimization.
Manage RFI/RFQ/RFP, tactical sourcing, spot buying, and e-auction activities.
Ensure compliance with procurement policies, approved supplier base, commercial terms, and PR-to-PO approval controls.
Identify procurement risks, compliance exceptions, unusual spend patterns, and supplier risk areas.
Develop and maintain spend, supplier, compliance, and savings dashboards for leadership.
Leverage Excel, Power BI/Tableau, and procurement analytics to provide actionable insights.
Support catalog adoption, guided buying, and reduction of maverick/one-off purchases.
Identify opportunities for automation, touchless sourcing, and AI-enabled procurement processes.
Collaborate with global stakeholders, business units, procurement teams, and leadership to drive standardized processes.
Establish governance, reporting cadence, SOPs, and continuous improvement mechanisms.
Required Skills
5+ years of relevant Procurement / Strategic Sourcing experience.
Strong understanding of Tail Spend Management and Procurement Operations.
Hands-on experience in S2C / Source-to-Contract and Strategic Sourcing.
Experience with supplier management, supplier rationalization/consolidation, and sourcing governance.
Strong knowledge of RFI, RFQ, RFP, tactical sourcing, spot buying, and e-auctions.
Experience with procurement platforms such as SAP, SAP Ariba, Coupa, Ivalua, or Oracle Procurement.
Strong Spend Analysis / Spend Classification / Spend Analytics experience.
Proficiency in Advanced Excel; Power BI/Tableau exposure preferred.
Understanding of PR-PO processes, procurement controls, compliance, and financial governance.
Strong stakeholder management and communication skills with experience working across global teams / multiple business units.
Ability to convert procurement data into actionable business insights and cost-saving opportunities.
Good to Have
Experience in Pharmaceutical, MedTech, FMCG/CPG, or other large global organizations.
GCC / Procurement CoE experience.
Exposure to AI/ML, NLP, predictive spend analytics, guided buying, or procurement automation.
Experience with supplier financial, ESG, compliance, and geopolitical risk assessment.
MBA/M.Com or equivalent qualification.
Education
B.Com / BBA / BMS / Engineering or equivalent graduate degree.
MBA/M.Com or equivalent postgraduate qualification preferred.
Key Outcomes
Centralized and standardized Tail Spend governance.
Improved supplier visibility, compliance, and consolidation.
Increased procurement savings and reduced spend leakage/maverick buying.
Data-driven supplier and spend risk management.
Scalable procurement processes across multiple business units.
Improved leadership visibility through analytics and reporting.
Responsibilities
We are looking for a Tail Spend Management Consultant to establish and operationalize a centralized procurement capability across multiple business units. The role will focus on improving tail spend visibility, supplier governance, sourcing effectiveness, compliance, cost savings, and procurement process efficiency.
The ideal candidate should have strong experience in Procurement Operations, Strategic Sourcing/S2C, Tail Spend Management, Supplier Management, Spend Analytics, and Procurement Technology.
Key Responsibilities
Define and govern Tail Spend Management frameworks across multiple business units.
Perform spend analysis, classification, segmentation, and data cleansing to identify tail spend opportunities.
Develop supplier segmentation and drive supplier rationalization, consolidation, and optimization.
Manage RFI/RFQ/RFP, tactical sourcing, spot buying, and e-auction activities.
Ensure compliance with procurement policies, approved supplier base, commercial terms, and PR-to-PO approval controls.
Identify procurement risks, compliance exceptions, unusual spend patterns, and supplier risk areas.
Develop and maintain spend, supplier, compliance, and savings dashboards for leadership.
Leverage Excel, Power BI/Tableau, and procurement analytics to provide actionable insights.
Support catalog adoption, guided buying, and reduction of maverick/one-off purchases.
Identify opportunities for automation, touchless sourcing, and AI-enabled procurement processes.
Collaborate with global stakeholders, business units, procurement teams, and leadership to drive standardized processes.
Establish governance, reporting cadence, SOPs, and continuous improvement mechanisms.
Required Skills
5+ years of relevant Procurement / Strategic Sourcing experience.
Strong understanding of Tail Spend Management and Procurement Operations.
Hands-on experience in S2C / Source-to-Contract and Strategic Sourcing.
Experience with supplier management, supplier rationalization/consolidation, and sourcing governance.
Strong knowledge of RFI, RFQ, RFP, tactical sourcing, spot buying, and e-auctions.
Experience with procurement platforms such as SAP, SAP Ariba, Coupa, Ivalua, or Oracle Procurement.
Strong Spend Analysis / Spend Classification / Spend Analytics experience.
Proficiency in Advanced Excel; Power BI/Tableau exposure preferred.
Understanding of PR-PO processes, procurement controls, compliance, and financial governance.
Strong stakeholder management and communication skills with experience working across global teams / multiple business units.
Ability to convert procurement data into actionable business insights and cost-saving opportunities.
Good to Have
Experience in Pharmaceutical, MedTech, FMCG/CPG, or other large global organizations.
GCC / Procurement CoE experience.
Exposure to AI/ML, NLP, predictive spend analytics, guided buying, or procurement automation.
Experience with supplier financial, ESG, compliance, and geopolitical risk assessment.
MBA/M.Com or equivalent qualification.
Education
B.Com / BBA / BMS / Engineering or equivalent graduate degree.
MBA/M.Com or equivalent postgraduate qualification preferred.
Key Outcomes
Centralized and standardized Tail Spend governance.
Improved supplier visibility, compliance, and consolidation.
Increased procurement savings and reduced spend leakage/maverick buying.
Data-driven supplier and spend risk management.
Scalable procurement processes across multiple business units.
Improved leadership visibility through analytics and reporting.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Senior Applied GenAI Engineer – Multimodal / VLM (Automotive & ADAS)
We are looking for a Senior Applied GenAI Engineer to own the full lifecycle of Large Language Models (LLMs) and Vision-Language Models (VLMs) for an automotive and ADAS program.
The candidate will be responsible for adapting, fine-tuning, evaluating, optimizing, deploying, and continuously improving production-grade multimodal AI solutions for automotive use cases.
The role involves working on GenAI/VLM applications including scene and perception visual question answering, cabin and driver understanding, natural-language and multimodal interfaces, and VLM-assisted data annotation.
The candidate will work in a small agile team of 5–6 members and will serve as the technical lead for the GenAI/VLM workstream, driving technical threads end-to-end with minimal hand-holding.
Key requirements include strong hands-on experience with Python, PyTorch, Hugging Face, LoRA/QLoRA, production inference, MLOps, Docker, model evaluation, inference optimization, and multimodal/VLM technologies.
Automotive/ADAS experience and exposure to autonomous-driving datasets such as NuScenes, DriveLM or NuScenes-QA, as well as edge/embedded deployment, are preferred.
Responsibilities
* Adapt, fine-tune, evaluate, and deploy LLMs and Vision-Language Models for automotive and ADAS use cases.
* Develop multimodal AI solutions for scene/perception VQA, cabin and driver understanding, natural-language interfaces, and VLM-assisted data annotation.
* Benchmark pretrained VLMs and improve them using parameter-efficient fine-tuning techniques such as LoRA and QLoRA.
* Own the complete model lifecycle covering data pipelines, training, evaluation, inference, serving, monitoring, and continuous improvement.
* Build and optimize production inference services using technologies such as vLLM, TGI, TensorRT-LLM, or Triton.
* Develop Dockerized deployment solutions and REST/inference APIs.
* Optimize model latency, throughput, memory utilization, and cost using quantization, continuous batching, and KV-cache management.
* Build evaluation harnesses and rigorously analyze failure modes including hallucination, weak visual grounding, and robustness issues.
* Optimize models for automotive constraints including latency, memory, edge, and embedded targets.
* Work with perception, platform, embedded, safety, and release teams to integrate GenAI/VLM solutions.
* Maintain data privacy, governance, evaluation, and traceability suitable for automotive validation and release processes.
* Mentor team members and provide technical direction for the GenAI/VLM workstream.
* Stay current with emerging LLM/VLM techniques and apply relevant approaches pragmatically.
* Clearly communicate accuracy, latency, and cost trade-offs to technical and non-technical stakeholders.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
