S & OE Manager

SAP Basis Engineer

ERP Solution Architect- D365

Manager, Data Engineering

Manager I – Continuous Improvement

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Principal AWS Network Infrastructure Engineer

Senior Data Scientist - Machine Learning

VP, AI Automation

Responsibilities: Factory S&amp;OE Execution Ownership: <ul><li>Own S&amp;OE execution across 4 manufacturing sites, ensuring alignment between demand, supply, and production plans</li><li>Drive short-term execution decisions to protect customer service and delivery performance</li><li>Lead plant-level weekly S&amp;OE cadences focused on exception management and recovery actions</li><li>Ensure adherence to global S&amp;OE standards, governance, and processes&nbsp;</li></ul> Operational Excellence &amp; KPI Delivery: <ul><li>Deliver against key metrics: On-Time -Delivery, Past Due, Lead Time Accuracy, Response Time, and Inventory Health</li><li>Drive root cause analysis and corrective actions for service gaps and supply constraints</li><li>Implement continuous improvement initiatives to enhance reliability, responsiveness, and efficiency</li><li>Standardize ways of working across factories to improve consistency and execution rigor</li></ul> Customer &amp; Commercial Alignment: <ul><li>Partner closely with Customer Care and Sales teams to ensure clear prioritization and fast response to demand changes</li><li>Support escalation management with structured, data-driven solutions</li><li>Translate commercial priorities into executable supply actions at plant level</li></ul> Managing Complexity, NPI &amp; Migrations: <ul><li>Ensure operational readiness for new product introductions and product migrations</li><li>Coordinate with planning, manufacturing, and supply teams to mitigate risks during transitions</li><li>Manage demand volatility and supply constraints with agility and structured decision-making</li></ul> Financial &amp; Service Performance: <ul><li>Balance service, cost-to-serve, and inventory objectives in daily execution decisions</li><li>Support achievement of working capital and cost targets through disciplined planning and execution</li><li>Use data and analytics to optimize trade-offs between service and cost</li></ul> People Leadership &amp; Capability Building: <ul><li>Lead and develop a team of ~10 S&amp;OE planners/analysts</li><li>Coach team on problem-solving, prioritization, and decision-making</li><li>Establish clear roles, accountability, and performance expectations</li><li>Build a high-performance, accountable, and collaborative team culture</li></ul> S&amp;OE Process Adoption &amp; Maturity: <ul><li>Drive adoption of global S&amp;OE processes, tools, and KPIs</li><li>Ensure high-quality data, system discipline, and process compliance (SAP, S4 Hana, IBP Response)</li><li>Support S&amp;OE maturity roadmap deployment at factory level</li></ul> Requirements: <ul><li>Bachelor’s degree in business administration, Supply Chain Management, Logistics, Industrial Engineering or a related field.&nbsp;</li><li>An MBA or master’s degree is preferred.</li><li>10+ years of experience in supply chain planning, or operations in a multinational environment.&nbsp;</li><li>Exposure to high-growth environments, NPI, and product migrations preferred.</li><li>Minimum of 4 years of experience in people management, leading diverse teams in a global environment.</li><li>Proven experience in Sales and Operations Execution (S&amp;OE) or related roles.&nbsp;</li><li>Experience in managing operational processes related to demand planning, supply chain management, and inventory optimization.</li><li>Excellent communication and interpersonal skills to engage effectively with cross-functional teams and stakeholders.</li><li>Strong analytical skills with the ability to interpret complex data and drive actionable insights.</li><li>Highly Competent with supply chain management software (SAP Must, IBP Response is a plus) and analytics tools.</li><li>Demonstrated leadership skills with the ability to lead and inspire diverse teams across different locations.</li><li>Understand business drivers and able to balance between short- and long-term objectives.</li></ul>

Responsibilities: <ul><li>Designs, builds, and supports SAP platform solutions by applying sound engineering practices to ensure system stability, performance, and scalability.</li><li>Utilizes enterprise tools and methodologies to automate system deployments, transport, and administrative activities, enabling reliable and repeatable releases.</li><li>Collaborate with cross‑functional partners to translate moderately complex business and technical requirements into effective SAP Basis solutions.</li><li>Performs system validation, technical testing, monitoring, and troubleshooting to maintain the quality and availability of SAP systems.</li><li>Contributes to continuous improvement initiatives by identifying opportunities to enhance SAP Basis processes, automation, and operational efficiency.</li><li>Creates and maintains clear technical documentation for SAP landscapes, configurations, and operational procedures.</li><li>Provides technical support for moderately complex SAP Basis issues, ensuring timely resolution and minimal impact to business operations.</li><li>Drives automation and quality through the use of enterprise testing and deployment tools, including Tosca for test automation and qTest for test management, execution, and traceability.</li><li>Develops, executes, and maintains manual and automated test assets for SAP systems, ensuring end‑to‑end coverage across SIT, UAT, regression, and integration testing cycles.</li><li>Performs system validation, monitoring, defect analysis, and troubleshooting in partnership with development, security, and infrastructure teams to ensure reliability and performance.</li></ul> Requirements: <ul><li>Minimum requirement of 5 years of relevant work experience with SAP Basis.&nbsp;</li><li>Demonstrated expertise in SAP Basis engineering, with strong knowledge of SAP system architecture, technical landscape design, system administration, upgrades, transport, performance monitoring, and operational support across multiple SAP environments.</li><li>Experience managing and supporting SAP technical operations, including system availability, batch processing, interfaces, background jobs, monitoring, troubleshooting, and incident resolution in alignment with enterprise service expectations.</li><li>Proven ability to support SAP Fiori and UI technical components from a Basis perspective, including configuration, activation, performance support, and coordination with security and application teams.</li><li>Experience leveraging scripting and technical tools (such as SQL and automation utilities) to improve operational efficiency, support system analysis, and standardize SAP Basis activities.</li><li>Working knowledge of cloud‑hosted and hybrid SAP landscapes, including experience supporting SAP systems on platforms such as Microsoft Azure, AWS, or Google Cloud, with an understanding of infrastructure, connectivity, and platform operations.</li></ul>

Responsibilities: Design Authority Responsibilities <ul><li>Validate solution designs and ensure architectural consistency across modules and projects.</li><li>Conduct detailed design reviews for GAPs, FDDs, and technical specifications before Design Authority approval.</li><li>Identify integration and performance risks early in the design phase and guide mitigation strategies.</li><li>Support the Design Authority in ensuring end-to-end solution coherence, especially across Finance, SCM, Project Ops, and Sales.</li><li>Work closely with the Domain Architect ERP to ensure:</li><li>Alignment with our client ERP domain architecture and roadmap.</li><li>Adherence to Microsoft’s D365 best practices and upgrade paths.</li><li>System-critical modifications are designed and implemented with risk awareness.</li><li>Data migration and interface designs follow architectural standards.</li><li>Collaborate with Lead Consultants and Developers to ensure designs are feasible, efficient, and maintainable.</li></ul> Solution Delivery Responsibilities <ul><li>Provide hands-on architecture support to delivery teams during all project phases (Blueprint, Build, Test, Deploy).</li><li>Define and communicate solution patterns and reusable components to increase delivery efficiency.</li><li>Oversee the technical integrity of ERP solutions and their alignment with the target architecture.</li><li>Support complex problem-solving, performance optimization, and integration design.</li><li>Ensure compliance with our client ERP governance, documentation, and security standards.</li><li>Act as the quality gate for designs entering the Design Authority approval process.</li></ul> Requirements: <ul><li>Minimum 8 years of experience in Microsoft D365 ERP solution design and implementation, with deep knowledge across multiple modules (Finance, SCM, or Project Operations).</li><li>Proven experience as a Solution Architect or Senior Consultant in large-scale international ERP programs.</li><li>Strong understanding of D365 data models, integrations (Data Management Framework, Dual Write, APIs), and reporting (SSRS, Power BI).</li><li>Experience in solution governance, design validation, and architecture documentation.</li><li>Familiarity with Azure integration services, Power Platform, and lifecycle management tools (LCS).</li><li>Agile mindset, excellent problem-solving skills, and strong delivery orientation.</li><li>Ability to collaborate across functional and technical teams, ensuring alignment between design, build, and deployment.</li><li>Excellent communication skills and fluency in English (both written and verbal).</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: Lean Deployment &amp; Strategy <ul><li>Develop and execute site-level continuous improvement and our client deployment plans aligned with business and operational goals.</li><li>Lead implementation of Lean Six Sigma tools and methodologies (5S, Value Stream Mapping, Kaizen, SMED, Standard Work, Visual Factory, etc.).</li><li>Drive a culture of continuous improvement across the plant through structured initiatives and training.</li></ul>&nbsp;Leadership &amp; Capability Building <ul><li>Mentor and support our client practitioners and Kaizen facilitators.</li><li>Train employees, leadership, and staff on Lean tools and methodologies.</li><li>Promote lean thinking, operational excellence, and problem-solving capabilities across teams.</li></ul>&nbsp;Project &amp; Performance Management <ul><li>Lead continuous improvement projects and cross-functional teams.</li><li>Monitor project progress, track performance metrics, and ensure achievement of operational targets.</li><li>Manage deployment plans at both site and functional levels.</li><li>Track, validate, and report cost savings and operational improvements.</li></ul>&nbsp;Operational Excellence <ul><li>Develop value stream maps and implement improvement strategies.</li><li>Facilitate Kaizen events and ensure sustainability of improvements.</li><li>Identify opportunities to reduce waste, improve quality, and optimize processes.</li><li>Ensure visibility and accountability of improvement actions across stakeholders.</li></ul> Stakeholder Collaboration <ul><li>Partner with site leadership to meet operational and financial goals.</li><li>Communicate progress, performance metrics, and improvement initiatives effectively.</li><li>Replicate best practices and share success stories across the organization.</li></ul>&nbsp;Requirements: Education <ul><li>Bachelor’s degree in Engineering or a related field (required)</li><li>Master’s degree (preferred)</li></ul>&nbsp;Experience <ul><li>5–7 years of experience in operations, manufacturing, logistics, or industrial engineering</li><li>3–5 years of hands-on Lean/Continuous Improvement experience</li><li>Proven track record of driving successful Lean transformations and delivering measurable results</li><li>Experience leading value stream-level improvement initiatives</li></ul>&nbsp;Technical &amp; Functional Skills <ul><li>Strong expertise in Lean tools: 5S, Value Stream Mapping, Kaizen, SMED, Standard Work, TPM, Visual Factory</li><li>Knowledge of Six Sigma methodologies (DMAIC)</li><li>Experience in process improvement and operational excellence programs</li><li>Understanding of Theory of Constraints (preferred)</li><li>Strong analytical and data-driven decision-making skills</li><li>Project management and change management expertise</li></ul> Certifications (Preferred) <ul><li>Six Sigma Black Belt / Master Black Belt (strongly preferred)</li><li>Lean certifications&nbsp;</li></ul>

Responsibilities: Automation &amp; Process Development <ul><li>Lead end-to-end development of automation systems, including concept design, hardware/software selection, prototyping, testing, validation, and full-scale implementation.</li><li>Conduct hands-on experimental trials to validate manufacturing processes and gather performance data.</li><li>Collaborate with Product Development teams to ensure designs align with automation and manufacturability standards.</li><li>Develop engineering specifications, preliminary designs, and support pre-production builds and testing.</li></ul> Process Optimization &amp; Problem Solving <ul><li>Apply data-driven methodologies such as Six Sigma, DMAIC, and 8D to identify root causes and improve process capability.</li><li>Analyze yield and process data to develop optimization strategies and enhance efficiency.</li><li>Research and implement new technologies and manufacturing techniques to improve quality and reduce costs.</li></ul> Project &amp; Stakeholder Management <ul><li>Manage multiple engineering projects simultaneously in a fast-paced environment.</li><li>Collaborate with vendors and cross-functional teams to support automation and process development initiatives.</li><li>Provide technical leadership and communicate complex concepts effectively to stakeholders.</li></ul> Documentation &amp; Innovation <ul><li>Prepare detailed technical documentation, design drawings, and process implementation requirements.</li><li>Support submission of invention disclosures for innovative concepts.</li><li>Contribute to the development and deployment of next-generation manufacturing technologies, including AI-driven solutions.</li></ul> Requirements: Education <ul><li>Bachelor’s degree in Electrical, Mechanical, Robotics, Mechatronics, or Electro-Mechanical Engineering (minimum).</li></ul> Experience <ul><li>5–7 years of experience in automation systems and manufacturing engineering.</li><li>Proven experience leading automation projects from concept to implementation.</li></ul> Technical Skills <ul><li>Automation systems: PLCs, HMIs, VFDs, servo motors, sensors, and actuators</li><li>PLC programming: Omron, Siemens, Allen-Bradley</li><li>Industrial robotics troubleshooting: KUKA, ABB, EPSON</li><li>Vision systems: Keyence, Cognex</li><li>CAD tools: Creo, SolidWorks, AutoCAD (2D &amp; 3D)</li><li>Strong electrical and electronic troubleshooting skills</li><li>Experience with Six Sigma / DMAIC / 8D methodologies</li><li>Exposure to Artificial Intelligence (preferred)</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities: Design and Implementation:&nbsp; <ul><li>Architect and deploy scalable, secure, and highly available network infrastructure solutions in AWS</li></ul> Network Management:&nbsp; <ul><li>Manage and optimize AWS networking services such as VPC, Direct Connect, Route 53, CloudWAN, and Transit Gateway</li></ul> Security:&nbsp; <ul><li>Implement and maintain network security best practices, including firewalls, VPNs, and security groups</li></ul> Automation:&nbsp; <ul><li>Develop and maintain automation scripts using tools like Terraform, CloudFormation, and Python</li></ul> Monitoring and Troubleshooting:&nbsp; <ul><li>Monitor network performance and troubleshoot issues to ensure optimal performance and reliability</li></ul> Collaboration:&nbsp; <ul><li>Work with cross-functional teams to support application development and deployment</li></ul> Documentation:&nbsp; <ul><li>Create and maintain detailed network documentation and diagrams</li></ul> Cost Management:&nbsp; <ul><li>Monitor and optimize cloud costs, implementing cost-saving measures where possible</li></ul> Compliance and Governance:&nbsp; <ul><li>Ensure that all cloud network solutions comply with our client standards</li></ul> Performance Tuning:&nbsp; <ul><li>Continuously improve the performance and reliability of network systems</li></ul> Incident Response:&nbsp; <ul><li>Lead incident response efforts for network-related issues and outages</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide training and mentorship to junior network engineers and other team members</li></ul> Innovation/Continuous Learning:&nbsp; <ul><li>Stay updated with the latest cloud networking technologies and propose innovative solutions to improve the infrastructure</li></ul> Business Competencies: <ul><li class="ql-indent-1">Adaptable to work effectively within a variety of situations and with various individuals, groups or independently</li><li class="ql-indent-1">Ability to document and communicate effectively, explaining technical concepts and network initiatives in business terms in both individual and group settings</li><li class="ql-indent-1">Must be tenacious, overcoming obstacles and identifying risks</li><li class="ql-indent-1">Attention to detail will be critical to assist with the successful implementation of initiatives</li></ul> Requirements: <ul><li class="ql-indent-1">10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li class="ql-indent-1">Strong understanding of AWS network infrastructure and service integration, including VPC, IAM, Transit Gateway, and CloudFormation, and how AWS services such as EC2, EKS, RDS, S3, and Lambda operate within those network architectures.</li><li class="ql-indent-1">Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).</li><li class="ql-indent-1">Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).</li></ul> Technical Skills: <ul><li class="ql-indent-1">In-depth knowledge of AWS networking services and best practices, such as VPC, AWS Firewall, Transit Gateway, WAF, Security Groups, CloudWAN, NACLS, Shield Advance, and Direct Connect</li><li class="ql-indent-1">Advanced understanding of networking protocols and services such as BGP, OSPF, TCP/IP, DNS, DHCP, and VPNs</li><li class="ql-indent-1">Proficiency in network security principles and tools</li><li class="ql-indent-1">Skilled in network automation and scripting</li><li class="ql-indent-1">Experience in developing IaC with advanced skills in tools such as Terraform, AWS CloudFormation, and Ansible for automating infrastructure deployment and management</li><li class="ql-indent-1">Familiar with DevOps practices / CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment</li></ul>&nbsp;

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>Define and execute the enterprise AI automation strategy aligned with the institution’s broader digital transformation goals.</li><li>Build and scale a robust automation platform that supports Agentic AI systems, RPA, and enterprise agent development.</li><li>Lead and grow a high-performing multidisciplinary team of AI engineers, developers, and automation specialists.</li><li>Build and maintain a scalable, secure, and flexible AI automation platform that integrates with existing enterprise systems and data architectures.</li><li>Stay abreast of emerging AI technologies and automation trends to continually evolve the platform and leverage state-of-the-art solutions.</li><li>Oversee the design, development, and deployment of intelligent agent systems that drive operational efficiency and enhance customer experiences.</li><li>Innovate on autonomous and semi-autonomous agents to support both front-office and back-office operations.</li><li>Foster collaboration across business units to identify automation use cases and deploy enterprise-grade agent solutions.</li><li>Lead the RPA strategy and implementation, focusing on end-to-end automation of complex workflows and processes.</li><li>Ensure best practices in governance, security, and compliance are maintained in all automation initiatives.</li><li>Collaborate closely with commercial, product, and technology teams on Agentic Commerce projects, leveraging AI agents to enhance client engagement, product recommendations, and transactional workflows.</li><li>Drive innovations that integrate automation capabilities into commerce platforms, improving speed and personalization.</li><li>Partner with senior leadership and key stakeholders across the institution to advocate for AI automation initiatives and secure buy-in.</li><li>Drive a culture of innovation and continuous improvement in automation adoption.</li><li>Work with multiple co-located and distributed teams (off-shore and on-shore)</li><li>Perform other duties and/or special projects as assigned</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Business, or related field, with a minimum of 8 years of experience in Information Technology or, in lieu of the Bachelors degree, a minimum of 10 years of experience in Information Technology .</li><li>Deep understanding of Agentic AI, Enterprise Agent Development, and Robotic Process Automation technologies.</li><li>Experience driving enterprise-scale automation platforms with a focus on scalability, security, and compliance.</li></ul>

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37 deployment Jobs found

S & OE Manager

SAP Basis Engineer

ERP Solution Architect- D365

Manager, Data Engineering

Manager I – Continuous Improvement

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Principal AWS Network Infrastructure Engineer

Senior Data Scientist - Machine Learning

VP, AI Automation

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37 deployment Jobs found

S & OE Manager

SAP Basis Engineer

ERP Solution Architect- D365

Manager, Data Engineering

Manager I – Continuous Improvement

Sr. Manufacturing & Process Development Engineer

Senior Data Engineer

Principal AWS Network Infrastructure Engineer

Senior Data Scientist - Machine Learning

VP, AI Automation

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