AVP, Digital Analytics

Document Controller

VP,  Senior Audit Manager

VP, IAM Assurance Leader

On & Off Trade Specialist

Distribution Resource Planner

Senior Data Scientist - Machine Learning

AVP AI Solutions Management

AVP – Model Ops Engineer

Product and Pricing Analyst

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Role Description : <ul><li>This role supports project teams by controlling documentation for EPC projects—identifying, uploading and distributing engineering deliverables and maintaining electronic and hardcopy repositories with accurate indexing, revision control, metadata and access permissions.</li><li>It operates EDMS (SharePoint, ProjectWise), manages the change control lifecycle (issue/revise/approve/distribute/archive) and reviews documents for completeness and contractual/QMS compliance.</li><li>The role maintains traceability, transmittals and audit trails, prepares reports, supports technical reviews and handovers, follows up on pending reviews, and safeguards data integrity and confidentiality.</li><li>Control all documentation activities: identify, upload and distribute engineering deliverables.</li></ul> Responsibilities: <ul><li>Maintain electronic and hardcopy repositories with accurate indexing, revision control and retrieval.</li><li>Operate and administer EDMS (SharePoint, ProjectWise, etc.): uploads, metadata, permissions and folder structures.</li><li>Review drawings, specifications, change orders, submittals and vendor documents for completeness, format and contractual/QMS compliance; resolve discrepancies.</li><li>Manage the change control lifecycle: issue, revise, approve, distribute, archive and retire controlled copies.</li><li>Ensure documents are correctly dated, versioned and authorized prior to release.</li><li>Maintain traceability registers, revision histories, distribution lists, transmittals and audit trails.</li><li>Prepare transmittals, distribution notices, status updates and ad?hoc project reports.</li><li>Support technical reviews, coordination meetings and project closeout / handover documentation packs.</li><li>Proactively follow up on pending actions, approvals and overdue reviews.</li><li>Develop and maintain document procedures, metadata standards and templates; identify and implement improvements.</li><li>Provide day to day support for document access, retrieval, formatting/numbering and stakeholder queries, while maintaining access controls, data integrity and compliance with internal/ISO/contractual requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree (any discipline) or equivalent.</li><li>2 to 6 years’ relevant document control experience, preferably in construction, engineering, manufacturing, oil &amp; gas or EPC project environments.</li><li>Experience supporting project QMS and contractual/client requirements is preferred.</li><li>Software Proficiency: Strong with MS Office (Word, Excel).</li><li>Experience with document management systems/EDMS such as Microsoft SharePoint, Bentley ProjectWise, DocuWare, or similar document control software. Familiarity with PDF tools and CAD/PDF handling.</li></ul>

Responsibilities: <ul><li>Engage with India Leadership to understand emerging risk while providing risk themes and trends that can inform and help improve governance and control awareness.</li><li>Provide IA leadership to the Internal Audit team based in India by motivating and developing individuals to elevate quality and expand capabilities.</li><li>Assist with continuous monitoring activities related to Technology.</li><li>Supervise, manage, and motivate Audit Managers on scheduled audits.</li><li>Oversee audit planning and execution of audits including audit scoping, setting audit objectives, defining audit test steps, performing audit fieldwork and drafting audit reports.</li><li>Review and provide feedback to Audit Managers on the documentation of detailed process walkthroughs performed with management, including the identification of process risks and controls.</li><li>Review and provide feedback on detailed audit work papers performed during fieldwork, including control design and effectiveness testing.</li><li>Ensure Audit Managers have developed and documented clear audit work papers that succinctly articulate the process, risks, controls, test work performed, and conclusions reached.</li><li>Ensure effective and efficient execution of audits in conformance with professional and department quality standards.</li><li>Identify and articulate control gaps or control deficiencies.</li><li>Ensure timeliness of audit work and ensure audit is performed within budget.</li><li>Present audit results to various levels of internal audit leadership, as well as the business organization.</li><li>Contribute to risk assessment process and ongoing business/industry monitoring.</li><li>Maintain internal audit competency through ongoing professional development.</li><li>Oversee career and professional development of direct reports.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors or advanced degree in technology, business, or finance, with a minimum of 10+ years of relevant experience working within audit or a risk management function or minimum 12+ years relevant experience in lieu of a degree</li><li>Bachelor’s degree in Accounting, Auditing, or a technology-related degree with 9+ years of audit experience</li><li>5+ years in technology audit, controls, operations, and/or compliance</li><li>2+ years recent experience managing, supervising, and mentoring individuals</li><li>2+ years recent experience in leading projects and motivating teams</li><li>CISA/CISM/CPA/CIA/CRISC/CISSP certifications</li><li>Ability and flexibility to travel for business as required</li></ul>

Responsibilities: <ul><li>Create and Maintain Strategic Roadmaps: Develop and execute multi-year roadmaps to drive innovation, strengthen security posture, meet regulatory requirements, and streamline IAM operations—specifically for IAM assurance capabilities, control monitoring, and evidence automation.</li><li>Stakeholder Engagement: Build and nurture strong relationships across Security Operations, Technology Teams, Governance, Operational Risk, and Internal Audit, ensuring program alignment, audit readiness, and the ability to clearly demonstrate IAM control effectiveness to stakeholders and regulators.</li><li>Risk and Progress Management: Identify, assess, and mitigate technical and organizational risks while regularly reporting blockers, corrective actions, and program milestones to executive leadership; ensure timely remediation of control gaps and recurring defects.</li><li>Solution Design &amp; Automation: Lead and contribute to designing technical solutions for complex automation use cases, driving operational efficiency and scalability—especially automation to detect, track, and remediate IAM control defects.</li><li>Program Integrity: Ensure standards, policies, and procedures are accurately documented and officially maintained for audit and compliance requirements; recommend updates to IAM standards based on security threats, regulatory expectations, and industry trends.</li><li>Performance Tracking: Define, implement, and monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to measure program maturity and overall effectiveness, including assurance coverage, control pass rates, remediation SLAs, defect recurrence, and reporting timeliness/accuracy.</li><li>Assurance Operations Leadership: Lead assurance activities to track, validate, and remediate key logical access and authentication controls across centralized IAM services (e.g., Active Directory, Oracle LDAP, Beyond Identity) and decentralized implementations as applicable.</li><li>Assurance Reporting Platform Ownership: Manage and evolve the IAM assurance reporting platform(s) used to monitor adherence to company standards, control design, and operational effectiveness; ensure reporting is accurate, resilient, and audit-ready.</li><li>Agile Partnership with Product Owners: Partner with IAM product owners and delivery teams using Agile methodologies to prioritize and implement control improvements, balancing risk reduction with service stability and customer impact.</li><li>Control Evidence &amp; Audit Support: Ensure the organization can efficiently produce high-quality evidence for SOX, PCI, and other examinations; proactively address audit issues with root-cause correction and sustainable control improvements.</li><li>Documentation &amp; Enablement: Oversee creation, maintenance, and review of operational process documentation and end-user/training materials needed to support consistent execution of IAM assurance activities.</li><li>Problem Resolution: Independently resolve technical challenges while escalating issues with clarity when necessary.</li><li>Perform other critical duties or special projects as assigned.</li></ul> Requirements: <ul><li>BS/BA in Computer Science, Information Technology, Cybersecurity, Business Management, or equivalent, plus 10+ years IT experience, OR in lieu of a degree with 12+ years IT experience demonstrating progressive responsibility.</li><li>Minimum 5 years of experience leading multiple IAM service products (e.g., authentication, privileged access, identity governance) and driving outcomes across both centralized and distributed service models.</li><li>Minimum 5 years of experience developing and improving IAM service processes and reporting on IAM service key controls (design and operating effectiveness).</li><li>Minimum 3 years leading operations or assurance teams, including continuous monitoring, issue management, and control remediation.</li><li>At least 2 years working with Agile methodologies in roles such as Product Owner, Scrum Master, or Technical Lead.</li><li>Minimum 2 years of people management experience, leading teams of 2+ engineers or contractors.</li></ul>

Responsibilities: <ul><li>Oversee distributor relationships, shipment delivery, depletion tracking, and overall operations</li><li>Manage all aspects of On and Off Trade execution</li><li>Ensure timely processing of purchase orders, A&amp;P budgets, and claim settlements for operational excellence</li><li>Ensuring brand availability, menu listing, and appropriate pricing in on premise outlets</li><li>Monitor outlet level inventory and plan stock replenishment aligned with sales opportunities</li><li>Ensure products are correctly priced, ticketed, and displayed across unpaid shelves and paid elements (wall bays, gondolas, shelf in shelf)</li><li>Execute in store visibility initiatives and build impactful displays as per annual plans</li><li>Manage visibility and activation calendars, ensuring flawless execution of brand experiences</li><li>Plan, execute, and review gift pack promotions to deliver pre aligned objectives</li><li>Deliver merchandising services tailored to diverse customer needs</li><li>Build and maintain strong relationships with counter salesmen, bar managers, restaurant managers, and general managers</li><li>Handle ad hoc administrative tasks as required</li></ul> Requirements: <ul><li>Self-motivator</li><li>Liquor Industry experience of 3+yrs</li><li>Ability to network and build relationships</li><li>Previous merchandising &amp;/or retail experience</li><li>Knowledge of retail activation planning/ management/ operation</li><li>High attention to detail</li><li>Excellent time management skills</li><li>Basic to intermediate MS Office (word, Excel, Outlook and PowerPoint)</li><li>Ability to work varied hours</li><li>Knowledge of the Liquor industry and regulatory environment, and communication guidelines</li></ul>

Role Description:&nbsp;&nbsp; <ul><li>The Distribution Resource Planner works alongside the Regional Distribution Planner in guaranteeing uninterrupted supply to customers and/or our client sites by balancing supply, demand and inventory.&nbsp;</li><li>The role serves in active partnership on all supply related questions from business partners (BO Management, Demand Manager, Product Quality, Sales, Logistics, Customers Service, Manufacturing and Supply Planner).&nbsp;</li><li>This person will work closely with Global planning and functionally reports to the Supply Chain Manager.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Inventory: Responsible for administration around inventory movements, manage inventory levels and replenishment orders,you manage aged &amp; blocked inventories, relabeling.&nbsp;</li><li>Furthermore, responsible for monthly reconciliations of inventory levels stored at 3rd party warehouses and consignment.&nbsp;&nbsp;</li></ul> <ul><li>Planning: Monitor the 6-month rolling supply plan for imported products as assigned aligned with the regional planner,understand and execute the key analytics in line with the supply processes to ensure optimal demand &amp; supply balance.&nbsp;</li><li>This includes for example coordination on the drumming schedule and vessel arrangements.&nbsp;&nbsp;</li></ul> <ul><li>Projects &amp; Coordination: Initiate improvement opportunities (processes, tools and knowledge) and support implementation of these pro-actively, including optimization of shipment modes, loads and packaging based on costs and inventory.&nbsp;</li></ul>&nbsp;<ul><li>Reporting: Assume responsibility for effective and timely Analysis and Reporting, analyze demand data and measure forecast accuracy, support in the evaluation and maintenance of Safety Stock and Target Inventory numbers for the region and ensures full compliance with Corporate Standard Operating Procedures and all Sarbanes Oxley required processes&nbsp;</li></ul> <ul><li>Safety - Comply with our client safety and wellness musts, complete required HSES trainings through TEDS.&nbsp;Actively engage and promote activities that will enhance safety culture&nbsp;&nbsp;</li></ul> <ul><li>Short Term Planning - Develop and maintain the 6-12 month rolling supply plan for assigned product lines and be an active partner on all supply questions for business partners (BU Management, Demand Managers, Sales, Logistics, Customer Service and Supply Planners)&nbsp;&nbsp;</li></ul> <ul><li>Long Term Planning - Actively supports the Supply Manager in developing the 24 month supply plan for assigned product lines.&nbsp;&nbsp;</li></ul> <ul><li>Demand Verification - Analyze (6 month) demand data, measure forecast accuracy, take appropriate actions, engage with commercial team on forecast changes and document/report out on those&nbsp;&nbsp;</li></ul> <ul><li>Analytics - Understand and execute the key analytics in line with the supply processes to achieve optimal demand &amp; supply balance (re-ordering strategy and execution, reacting to changes in demand)&nbsp;&nbsp;</li></ul> <ul><li>OPEX - Participate in regional (OpEx) meetings that are being held for the business planning for&nbsp;Metrics - Develop, maintain and review inventory measures and take appropriate actions (a.o. safety stock review, dead stock review, 60-100 day file, EEOA, DQO). Review, understand, and drive improvement in HOC metrics (Metric Pack)&nbsp;&nbsp;</li></ul> <ul><li>Master Data - Master data analysis and maintenance, reviewing the settings against ever changing environment and achieve right master data settings to enable best planning results&nbsp;&nbsp;</li></ul> <ul><li>Knowledge - Actively seeks to increase product and market knowledge, Understand business and product strategies for the product range covered&nbsp;&nbsp;</li></ul> <ul><li>Reconciliations - Responsible for monthly reconciliations of inventory levels stored at 3rd party warehouses and ensuring appropriate approvals for adjustments&nbsp;&nbsp;</li></ul> Requirements: Basic Qualifications:&nbsp; <ul><li>Bachelor or Master degree in Logistics, Supply Chain or Industrial Engineering or related business fields is required&nbsp;</li><li>APICS CPIM or comparable certification is a strong pre, demonstrated experience with planning &amp; inventories&nbsp;&nbsp;</li><li>Minimum of 3 years of Planning or Supply Chain experience in an International environment&nbsp;</li><li>Good analytical skills&nbsp;</li><li>Advanced Excel skills&nbsp;</li><li>Fluent in English is required, both verbal and written.</li><li>Additional languages are a plus Preferred Qualifications:&nbsp;&nbsp;</li><li>Experience with SAP / ERP system is a plus.&nbsp;&nbsp;</li><li>Work structured and methodologically in a constant changing environment&nbsp;</li><li>Self-starter, results orientated and independent thinker – always looking for improvement opportunities&nbsp;</li><li>Ability to assemble info to make a big picture, while also able to dive into the underlying details&nbsp;</li><li>Customer focused, pro-active&nbsp;</li><li>Adhere to health, safety and environmental policies and procedures to ensure the safety and wellbeing of self, other staff and visitors</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Support the AI use-case intake process, gather requirements, and rapidly assess strategic fit, value, complexity, and feasibility.</li><li>Maintain an AI use-case/solution inventory; identify duplication and promote reuse of existing platforms and components.</li><li>Evaluate alignment to the company’s AI strategy, enterprise architecture, data strategy, and target operating model.</li><li>Help establish guidelines for build/buy/hybrid and create recommendation artifacts for leadership and governance bodies.</li><li>Assess candidate architectures across cloud services, data platforms, model choices (LLMs, classical ML, CV, NLP), and integration patterns.</li><li>Compare third-party SaaS/managed services with in-house custom builds and hybrids; estimate TCO, scalability, maintainability, and time-to-value.</li><li>Support vendor evaluations and small proof-of-concept efforts, reviewing items like security practices, data handling, SLAs, integration needs, and roadmap alignment.</li><li>Partner with Procurement/Vendor Management on contracting, licensing, data processing, and exit strategies.</li><li>Partner with Engineering, Data Science, and DevOps/MLOps to scope pilots and define success metrics and guardrails.</li><li>Ensure handoffs include documentation, controls, and operational readiness</li><li>Develop playbooks, patterns, and templates to support AI solution reviews, and help enable business and tech teams through training sessions and office hours..</li><li>Track portfolio outcomes (benefits, risk findings, reuse rate) and continuously improve intake and evaluation processes.</li></ul> Requirements: <ul><li>Software engineering and cloud architecture knowledge across AWS/Azure; APIs; event/microservices; observability.</li><li>Good understanding of AI/ML and LLM stacks (vector databases, embeddings, RAG, prompt engineering, guardrails).</li><li>Understanding of privacy/security controls in financial services (data classification, encryption, DLP, IAM, segmentation) and third-party risk.</li><li>Proven ability to translate business objectives into technical evaluation criteria and clear decisions.</li><li>Excellent written and verbal communication for executive-level summaries and deep-dive technical reviews.</li><li>Critical thinker with structured problem-solving and sound judgment</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

Responsibilities:&nbsp; <ul><li>Maintain accurate pricing records in SAP, including updates for corrections, expirations, and new product entries.&nbsp;&nbsp;</li><li>Assign customers to price lists and ensure proper application of incoterms and shipping conditions.&nbsp;&nbsp;</li><li>Execute mass price changes and communicate updates to all relevant stakeholders.&nbsp;&nbsp;</li><li>Review and process commercial proposals and pricing requests in line with established guidelines.&nbsp;&nbsp;</li><li>Support the administration and execution of sales incentive programs.&nbsp;&nbsp;</li><li>Keep Decision Rights Matrix current and schedule refresher training for pricing-related roles.&nbsp;&nbsp;</li><li>Use profitability tools to generate reports and provide data for margin analysis.&nbsp;&nbsp;</li><li>Assist in building economic value models for new products and applications.&nbsp;&nbsp;</li><li>Monitor and report on market and competitive pricing activities to inform internal teams.&nbsp;</li><li>Support product changes by preparing documentation and ensuring proper communication to stakeholders.&nbsp;&nbsp;</li><li>Gather and organize customer feedback data for reporting and follow-up with relevant teams.&nbsp;&nbsp;</li><li>Provide data mining support for SAP, margin reports, and other tools to assist in pricing and product decisions.&nbsp;&nbsp;</li><li>Track and report progress on product-related projects; assist cross-functional teams in execution.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Bachelor’s Degree from an accredited college or university required.&nbsp;&nbsp;</li><li>1+ years’ prior work experience in an analytical role; preferably in sales, marketing, product management, pricing and/or supply chain&nbsp;</li><li>Strong computer skills and efficiency in SAP, SharePoint, and Microsoft Office, especially Excel&nbsp;</li><li>Good organization skills, ability to manage several key objectives at the same time.&nbsp;</li><li>Good written and oral presentation skills.</li></ul>

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12 hyderabad Jobs found

AVP, Digital Analytics

Document Controller

VP, Senior Audit Manager

VP, IAM Assurance Leader

On & Off Trade Specialist

Distribution Resource Planner

Senior Data Scientist - Machine Learning

AVP AI Solutions Management

AVP – Model Ops Engineer

Product and Pricing Analyst

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12 hyderabad Jobs found

AVP, Digital Analytics

Document Controller

VP, Senior Audit Manager

VP, IAM Assurance Leader

On & Off Trade Specialist

Distribution Resource Planner

Senior Data Scientist - Machine Learning

AVP AI Solutions Management

AVP – Model Ops Engineer

Product and Pricing Analyst

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