As a Senior Cloud Engineering Lead , you will be an individual contributor and subject matter expert who maintains and participates in the design and implementation of technology solutions. The engineer will collaborate within a team of technologists to produce enterprise scale solutions for our clients needs. This position will be working with the latest Amazon Web Services technologies around cloud architecture, infrastructure automation, and network security. What you'll Do: Identify, test prototype solution and proof of concepts on public clouds Help develop architectural standards and guidelines for scalability, performance, resilience, and efficient operations while adhering to necessary security and compliance standards Work with application development teams to select and automate repeatable tasks along with participating and assisting in root cause analysis activities Architect cloud solutions using industry-leading DevSecOps best practices and technologies Review software product designs to ensure consistency with architectural best practices; participate in regular implementation reviews to ensure consistent quality and adherence with internal standards Partner closely with cross-functional leaders (platform engineers / software development / product management / business leaders) to ensure a clear understanding of business and technical needs; jointly select the best strategy after evaluating the benefits and costs associated with different approaches Closely collaborate with implementation teams to ensure understanding and utilization of the most optimal approach What you'll Bring 6+ years in an Infrastructure Engineering / Software Engineering / DevOps role, deploying and maintaining SaaS applications 4+ years experience with AWS/Azure/GCP cloud technologies and at least one cloud proficiency certification is required 3+ years experience functioning as a senior member in an infrastructure/software team Hands-on experience with AWS services like Lambda, S3, RDS, EMR, CloudFormation (or Terraform), CodeBuild, Config, Systems Manager, ServiceCatalog, Lambda, etc Experience building automation using scripting languages like Bash/Python/PowerShell Experience working and contributing to software applications development / deployment / management processes Experience in architecting and implementing cloud-based solutions with robust Business Continuity and Disaster Recover requirements Experience working in agile teams with short release cycles Possess strong verbal, written and team presentation communication skills. ZS is a global firm; fluency in English is required This role requires healthy doses of initiative and the ability to remain flexible and responsive in a very dynamic environment Ability to work around unknowns and develop robust solutions. Experience of delivering quality work on defined tasks with limited oversight Ability to quickly learn new platforms, cloud technologies, languages, tools, and techniques as needed to meet project requirements.

Senior Associate - ITAM at ZS IT team will be responsible for providing supports to all global users on their software needs. Primarily handles software asset management activities like creating, updating, tracking, monitoring, and maintaining software licenses in software management database, as we'll as monitoring application usage, and reporting compliance of software usage. IT Program associate works with different vendor to get the quote, review them internally and post approval process them for procurement. Working on opportunities to target unused or restricted software for re-harvest/redeployment. Person is responsible for tracking, Maintaining, and auditing the software records on periodic basis. What you'll do : Review new software requests for accuracy and adherence to standards and policies Responsible for collecting the information from end users and coordinating with additional support team to review the software needs. Initial assessment, research, and resolution of basic incidents and requests regarding use of software and components. Work with requestors on alternative options, and ensure the necessary data is captured for compliance, procurement. Escalate compliance matters, standards or policy deviations, and other software related issues to internal escalation teams Compile and maintain inventory of company software and systems assets for the purpose of tracking their corresponding licenses. Administer license change management and license closure. Utilization of the Inventory Tools/ Central repository for optimized use of software licenses / re-harvest or redeployment Ensures the end-to-end user experience and acts as a single point-of-contact for the end user. Periodic review of SaaS / critical tools to ensure that they are compliant with terms of usages Assignation of licenses or removal for various tools. Supporting various IT functions for operational support. Prepare of various reporting ranging from software status to financial spends Responds to requests from managers, and team members, for specific Programs What you'll bring : Possess bachelors degree in information technology, computer science, or business administration, or in another related field 2 to 4 years of experience in software asset management Ability to translate licensing terms and conditions in License agreements Strong knowledge of contract, licensing, and data privacy regulations/laws and best practices Strong communication, interpersonal, team oriented, organizational, and service mindset. Proactively identify cost savings opportunities relating to software and software maintenance Strong end user service skills Self-motivated, goal oriented, and an innovative thinker Ability to work both independently and in a team-oriented, collaborative environment. Familiar with Microsoft O365 tools Able to prepare the reports in tools like excel. Must be able to handle multiple tasks and ensure proper follow up is maintained SAM certified professional will be a value add.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for scalability. Design, develop and deploy high volume ETL pipelines to manage complex and near-real time data collection. Develop and optimize SQL queries and stored procedures to meet business requirements. Design, implement, and maintain REST APIs for data interaction between systems. Ensure performance, security, and availability of databases. Handle common database procedures such as upgrade, backup, recovery, migration, etc Collaborate with other team members and stakeholders. Prepare documentations and specifications. What you'll bring: bachelors degree in computer science, Information Technology, or related field 1+ years of experience SQL, TSQL, Azure Data Factory or Synapse or relevant ETL technology. Prepare documentations and specifications. Strong analytical skills (impact/risk analysis, root cause analysis, etc) Proven ability to work in a team environment, creating partnerships across multiple levels. Demonstrated drive for results, with appropriate attention to detail and commitment. Hands-on experience with Azure SQL Database

Developing and implementing highly responsive user interface components using React and Dotnet concepts. Instill best practices for software development, ensure designs meet requirements, and deliver high-quality work on schedule. Writing application interface codes using JavaScript following React.js workflows. Troubleshooting interface software and debugging application codes. Developing and implementing front-end and backend architecture to support user interface/backend concepts. Optimizing components for maximum performance across a vast array of web-capable devices and browsers. Documenting application changes and developing updates. What you'll Bring : A masters or bachelors degree in computer science or related field from a top university. 3-4+ years overall experience; 2+ years experience in full stack development using ReactJS and Dotnet. 2+ years of experience in building and leading strong web development engineering team. Experience with full software lifecycle methodology, including coding standards, code reviews, source control management, build processes, testing, and operations. In-depth knowledge of JavaScript, CSS, HTML, Dotnet and front-end languages. Strong knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux. Strong analytical skills and the ability to develop processes and methodologies. Experience working with cross-functional teams, including UX, business (eg Marketing, Sales), product management and/or technology/IT/engineering) is a plus. Characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring: A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc ) . A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as we'll as higher level tests to handle expected edge cases and errors gracefully, as we'll as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What you'll Bring A masters or bachelors degree in Computer Science or related field from a top university. 4+ years hands-on experience in ML development. Good understanding of the fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DBs. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate we'll with teams with different backgrounds / expertise / functions

ZSs Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What you'll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc). A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions Deliver client impact by collaboratively implementing these solutions Provide thought leadership by developing the ZS Point of View in this space Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. What you'll Do: Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. Develop and implement data science strategies that align with the overall goals of the AI team and the organization. Drive business and strategy development through project delivery and client relationship management; Develop/sell new business opportunities Direct multiple projects simultaneously, honing analytic and project management skills; Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Motivate, coach and serve as a role model for project team members Provide thought leadership and innovation through research and publication. What you'll Bring: PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute. Experience with big data, claims analytics, advanced analytics concepts and algorithms (eg text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc); Relevant programming background (eg Python/R); Strong understanding of relevant tools/platforms (eg cloud platforms such AWS/Azure); Proven track record of business development Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare, pharma); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills;

Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What you'll Do: You will design & implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review & retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What you'll Bring bachelors degree Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in Business Analyst, Engineering or Science preferred. 5-10 years of experience working within Life Science Domain as solution architect / business analyst / data analys t is required. Experience of working in building solution around drug development - clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred.

We are seeking a detail-oriented and strategic HR Technology Business Analyst to analyze and support strategic transformational HR initiatives Individual will lead business process design with functional stakeholders and prepare functional and technical documentation, in partnership with HR technology team, IT teams, vendors and PMO to support implementation of HR systems to align with organization & talent strategies Your expertise in HR processes and systems will be essential to help us streamline operations, improve user experience, and align technology solutions with our business goals Our ideal candidate will have a proven track record of working with HR software and analytics, a strong analytical mindset, and excellent communication skills You will collaborate closely with cross-functional teams to gather business requirements, analyze data, and provide actionable insights that drive decision-making If you are passionate about leveraging technology to enhance HR functions and are excited to be part of a forward-thinking organization, we encourage you to apply and contribute towards transforming our HR landscape What you'll Do Prepare and document Functional and Technical Specifications for integration, reporting and data warehouse/middleware tasks. Analyze and document existing HR processes and identify opportunities for improvement through technology. Develop process flows, data models, and system configurations. Create and maintain documentation for HR technology systems, including user guides and technical specifications whilst control versions. Work closely with members of the project team(s) and various Business and Technology Enterprise Data Governance stakeholders to understand business problems and current processes specifically related to the onboarding, maintenance and utilization of data across multiple domains. Gather, analyze and document current and future state business process flows, lead the analysis of requirements. Partner with IT to translate functional requirements into technical specifications. Be the point person to ensure technical developments are meeting functional requirements. Ensure compliance with industry standards and best practices and stay updated with the latest HR technology trends. Ensure timely milestone achievement of Business Process, Data and Technology deliverables and Generate reports and analytics to provide insights into HR metrics, helping drive data-informed decision-making. Regularly update and communicate status to stakeholders including senior level leadership and steering committee members. Collaborate we'll with all levels of cross functional teams to proactively identify gaps and opportunities, and drive solutions that align stakeholder expectations and ensure timely, high-quality delivery. What you'll Bring BE, BS or BA Degree and 5+ years of experience working in business analysis and program management in a fast-paced environment. ECBA, IIBA, CCBA or CBAP certification is a plus. Proven ability to lead and deliver large strategic transformative initiatives and the ability to liaise with stakeholders in various levels and functions. Proven experience working with various HR technology platforms (eg, HRIS, ATS, LMS, Performance Management, Compensation & Benefits systems). eg, SuccessFactors, Workday, Oracle HCM Cloud is highly desirable Deep understanding of various HR processes throughout employee journey from hire to retire, especially strong understanding in interdependencies across HR COEs such as talent acquisition, payroll, total rewards, workforce administration, and separation. Knowledge of business process workflow tools such as Visio or Jira. Expert level of proficiency in Microsoft Excel, Visio, PowerPoint. Strong communication and presentation skills. Must be able to communicate complex ideas or gaps to different level of audience in order to gain alignment across functions.

Team Management activities: Manage PMO team to enable smooth delivery of the client engagements Coordinate regular cross-office team meetings between offshore and onshore team Plan for PMO team members individual goals and guide them in their learning Facilitate induction of new team members into the team by coordinating kick-off meetings and getting appropriate system accesses Coordinate and support administrative requirements for team events. PMO activities: Own PMO processes and tools (e. g, project charter, ticket management system, issue management, communication and reporting, knowledge management, etc) Ensures quality of deliverables sent out by the PMO team Manages utilization of the team members by ensuring regular task tracking Coordinate with team members to track the adherence on project processes and ensure 100% compliance on all the program SLAs Facilitate regular updating of project performance summaries (eg, financials, utilization , SLA metrics) Oversee Program Risk Management process to ensure timely and accurate reporting of risks Maintain SOP documents repository and ensure timely updates and version control Contribute to continuous improvement leveraging various internal or external assets in consensus with key stakeholders Manage onboarding/off boarding, training and team compliance Manage asset (client laptops/phones) record-keeping Manage PMO assets and be a single point of contact for the team on any queries on relevant topics Coordinate with key stakeholders for timely renewal of legal documents and flag upcoming billing milestones and preemptively communicate to program manager. Client Coordination: Collaborate with the client s admin/support group to set up meetings & seminars Follow-up with client s PMO team on any issues with the PMO tools/processes that are shared across ZS and client (eg, ticket management system, etc) Work directly with client s PMO team on updating and sharing performance summaries (financials, utilization , SLA metrics) with key stakeholders. What you'll Bring Graduate with 3 years plus of experience in Project Management, or a Post Graduate in MBA with years plus of experience in Project Management Organized and self- motivated Good knowledge of Project Management Processes and tools Proficient on MS Excel with working knowledge of PowerPoint and Word Good verbal and written communication, pleasing personality Customer focused Good interpersonal skills Extremely high on initiative, proactive Prior experience of running PMO for more than 50 people preferred

We are seeking an experienced professional to join our Pune, India office as a Senior Security Operations Analyst with a strong background in Security Information and Event Management (SIEM) platforms, specifically in Microsoft Sentinel and Wiz. The ideal candidate will be responsible for leading advanced threat detection, response, and monitoring activities. This role will be critical in enhancing our cybersecurity posture and ensuring the ZS environment remains secure against emerging threats. What you'll do: Manage the day-to-day operations of Microsoft Sentinel, including rule creation, log ingestion, data analytics, and alert triaging Develop and tune detection rules, use cases, and analytics within Sentinel to improve threat visibility and detection capabilities Leverage Wiz Defend to detect and respond to runtime threats across cloud workloads and Kubernetes environments in real-time Continuously monitor and investigate alerts generated by Wiz Defend to enhance threat detection, triage, and incident response capabilities Perform proactive threat hunting to identify and mitigate advanced threats Conduct in-depth incident investigations and coordinate response efforts to ensure swift remediation Collaborate with internal stakeholders and the Threat Intelligence team to identify and mitigate potential security threats Generate reports and dashboards to communicate SOC performance metrics and security posture to leadership Continuously improve SOC processes and playbooks to streamline operations and response efforts Mentor junior SOC analysts and provide guidance on security best practices This role requires participation in a rotational shift Flexibility and availability to respond to urgent incidents outside of assigned shifts, as needed What you'll bring: Strong analytical and problem-solving abilities Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams Proven ability to remain calm and efficient under a high-pressure environment Proficient in using SIEM tools, such as Microsoft Sentinel Experience with data migration strategies across SIEM platforms Experience on Cloud Security Operations and Incident Response platforms such as Wiz In-depth understanding of cyber threats, vulnerabilities, and attack vectors Proficient in creating KQL queries and custom alerts within Microsoft Sentinel Expertise in developing SIEM use cases and detection rules Skilled in incident response and management procedures Experienced in conducting deep-dive investigations and root cause analysis for incidents Adept at collaborating with stakeholders to resolve complex cybersecurity challenges Ability to automate routine SOC processes to enhance operational efficiency Experienced in mentoring and guiding junior analysts in security operations Knowledge of major cloud platforms (AWS, Azure, GCP), including their security models, IAM roles, virtual private cloud (VPC) configurations, and cloud-native security tools Good to have skills and abilities: Excellent interpersonal (self-motivational, organizational, personal project management) skills Knowledge of vulnerability management and scanning best practices such as CVE database and the CVS System Ability to analyze cyber threats to develop actionable intelligence Skill in using data visualization tools to convey complex security information Academic Qualifications: Bachelors degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience) 4+ years of experience in a Security Operations Center (SOC) environment, with a focus on SIEM management Strong hands-on experience with Microsoft Sentinel, including data connectors, KQL queries, analytics rules, and workbooks Experience with SIEM migration Expertise in incident response, threat detection, and security monitoring Solid understanding of Windows, Linux, and cloud security concepts Relevant certifications (eg, CompTIA Security+, Microsoft Certified: Security Operations Analyst, GCIA, GCIH, OSDA, GCFA) are preferred Preferred Security Cloud Certifications: AWS Security Specialty

ZSs Program Management Expertise Center provides planning, delivery, and governance expertise to a wide range of clients and internal stakeholders. Our global organization is comprised of team-oriented, pragmatic, and results-driven people who thrive on solving challenging problems and driving the implementation of critical solutions. Our people come from diverse backgrounds, but share a passion for ensuring successful delivery of planned outcomes for our customers - both external clients as we'll as internal practice areas and industry vertical. What you'll Do : Update project performance summaries (eg, financials, u tilization , SLA metrics) regularly ; Own PMO processes and tools (e. g, project charter, ticket management system, issue management, communication and reporting, knowledge management, etc) Prepare & Maintain Weekly Adhoc Tracking Reports ; Facilitate continuous improvements leveraging various internal assets in consensus with key stakeholders ; Maintain project documents repository and ensure timely updates and version control ; Coordinate with team members to track the adherence on project processes (eg, project status on ticket management system, etc) ; Follow-up with client s PMO team on any issues with the PMO tools/processes that are shared across ZS and client (eg, ticket management system, etc) and work with them on updating and sharing performance summaries with key stakeholders . What you'll Bring : Graduate/ post-graduate in any discipline with 1 to 3 years of experience in Project Management experience ; Prior experience with program and PMO activity for large business transformations, or implementation of Digital strategy; experience managing large PMO vertical and client accounts ; Any Life Science, Healthcare, Pharma or Consulting experience is a nice to have ; Insurance or Finance industry experience also a plus ; Strong understanding of project management phases, techniques, and tools & reporting ; Ability to work in Agile, Waterfall and hybrid methodologies ; Strong knowledge of PMI and Agile project management standards and terminologies . Additional Skills: PMI/PMP, Prince2, or Agile certification desired ; Ability to understand projects KPIs and SLAs ; Experience managing multiple projects at once and ensuring priority of issues and risks

ZSs CCoE (Cloud Center of Excellence) Team builds, maintains and helps architect the systems enabling ZS client-facing software solutions. we'define and implement best practices to ensure performant, resilient and secure cloud solutions. The CCoE team at ZS is comprised of analytical problem solvers coming from diverse backgrounds while sharing a passion for quality delivery whether our customer is a client or another ZS employee. The team has presence in ZS s Evanston, Illinois and Pune, India offices We are currently seeking applicants for a Senior Cloud Solutions Engineer (Azure DevOps) position to join our Pune office. Qualified candidates will possess the skills detailed below and relevant work experience. What you'll Do: Create and manage Azure virtual machines, ensuring their availability, performance, and security. Configure and manage storage accounts, including blob storage, queues, and file storage to support various applications and workloads. Knowledge of service principal, RBAC System & Managed Identities. Working on Azure DevOps to setup CICD pipelines, repositories etc Implement and troubleshoot Azure instance backups to safeguard critical data and ensure business continuity. Carry out infrastructure automation using Terraform, streamlining operational tasks and improving efficiency. Utilize Azure PowerShell and ARM templates to create and manage Windows VMs, adhering to best practices for scalability and resilience. Perform regular BAU activities such as increasing space, adding additional drives, and adjusting memory and CPU resources as needed. Configure Azure virtual networks (VNET) and storage accounts to meet specific requirements, including the setup of availability zones, sets, and resource groups. Implement and manage scale sets, containers, and app services to support dynamic workloads and applications. Prepare reports, knowledge base articles, and standard operating procedures (SOPs) to document configurations and procedures accurately. Configure and troubleshoot Azure monitoring and logging solutions to proactively identify and address performance and security issues. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Provide technical support and troubleshooting for platform-related issues, ensuring timely resolution. Analyze, troubleshoot, and tune product performance or deployment issues. Identify automation opportunities and lead automation implementation. Knowledge of capacity planning and system s scaling needs What you'll Bring: Bachelors Degree in CS, IT or EE 3+ years of experience in Azure infrastructure management (VNET, Storage Account, compute, Backup, Azure Stack, AVS) Programming: Python, Terraform Knowledge of Azure services and solutions, including but not limited to virtual machines, storage accounts, backup, and networking. Strong problem-solving skills and the ability to troubleshoot complex issues in Azure environments. Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. Experience with infrastructure automation tools such as Terraform for streamlining deployment and configuration management. Proficiency in scripting languages such as Python for automation and task automation. Familiarity with Azure monitoring and logging tools for maintaining oversight of infrastructure performance and security. Comfortable working in rotational shifts Ability to quickly learn new platforms, languages, tools, and techniques as needed to meet project requirements. Self-motivated and directed, with strong attention to detail.

Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights. Strong proficiency in Python and Py Spark for scalable data processing and analytics. Create, transform, and optimize features to enhance model performance. Train, evaluate, and maintain machine learning models in production. Write efficient, maintainable, and version-controlled code that handles large datasets. Regularly update internal teams and clients on project progress, results, and insights. Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Automate operations pipeline which runs on regular intervals to update required datasets. What you'll Bring: A masters or bachelors degree in computer science or a related field from a top university. 4+ years of hands-on experience in Machine Learning (ML) or Data Science with a focus on building scalable solutions. Strong programming expertise in Python and PySpark is must. Proven ability to write highly optimized SQL queries for efficient data extraction and transformation. Experience in feature engineering, inferencing pipelines, and real-time model prediction deployment. Strong fundamentals in applied statistics , with expertise in A/B test design and hypothesis testing. Solid understanding of distributed computing systems and hands-on experience with at least one cloud platform (GCP, AWS, or Azure) Additional Skills Understanding of Git, DevOps, CI / CD, data security, experience in designing on cloud platform. Experienced in automating operations using job scheduler like Airflow Experience in data engineering in Big Data systems

Experience with cloud technologies AWS, Azure or GCP Create container images and maintain container registries. Create, update, and maintain production grade applications on Kubernetes clusters and cloud. Inculcate GitOps approach to maintain deployments. Create YAML scripts, HELM charts for Kubernetes deployments as required. Take part in cloud design and architecture decisions and support lead architects build cloud agnostic applications. Create and maintain Infrastructure-as-code templates to automate cloud infrastructure deployment Create and manage CI/CD pipelines to automate containerized deployments to cloud and K8s. Maintain git repositories, establish proper branching strategy, and release management processes. Support and maintain source code management and build tools. Monitoring applications on cloud and Kubernetes using tools like ELK, Grafana, Prometheus etc Automate day to day activities using scripting. Work closely with development team to implement new build processes and strategies to meet new product requirements. Troubleshooting, problem solving, root cause analysis, and documentation related to build, release, and deployments. Ensure that systems are secure and compliant with industry standards. What you'll Bring A masters or bachelors degree in computer science or related field from a top university. 2-4+ years of hands-on experience in DevOps Hands-on experience designing and deploying applications to cloud (Aws / Azure/ GCP) Expertise on deploying and maintaining applications on Kubernetes Technical expertise in release automation engineering, CI/CD or related roles. Hands on experience in writing Terraform templates as IaC, Helm charts, Kubernetes manifests Should have strong hold on Linux commands and script automation. Technical understanding of development tools, source control, and continuous integration build systems, eg Azure DevOps, Jenkins, Gitlab, TeamCity etc Knowledge of deploying LLM models and toolchains Configuration management of various environments. Experience working in agile teams with short release cycles. Good to have programming experience in python / go. Characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge.

Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What you'll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (eg hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment): Problem solving and Client engagement : Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication : Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team s work and ensuring high quality client deliverables Team management : Export best practices and learnings to broader team and mentor Associates on teams What you'll Bring: Bachelors degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (eg social listening, recommender systems, predictive modeling, etc) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building

You as Business Technology Solutions Manager will take ownership of one or more client delivery at a cross office level encompassing the area of digital experience transformation. The successful candidate will work closely with ZS Technology leadership and be responsible for building and managing client relationships, generating new business engagements, and providing thought leadership in the Digital Area. What you'll Do Lead the delivery process right from discovery/ POC to managing operations, across 3-4 client engagements helping to deliver world-class MDM solutions Ownership to ensure the proposed design/ architecture, deliverables meets the client expectation and solves the business problem with high degree of quality; Partner with Senior Leadership team and assist in project management responsibility ie Project planning, staffing management, people growth, etc; Develop and implement master data management strategies and processes to maintain high-quality master data across the organization. Design and manage data governance frameworks, including data quality standards, policies, and procedures. Outlook for continuous improvement, innovation and provide necessary mentorship and guidance to the team; Liaison with Staffing partner, HR business partners for team building/ planning; Lead efforts for building POV on new technology or problem solving, Innovation to build firm intellectual capital: Actively lead unstructured problem solving to design and build complex solutions, tune to meet expected performance and functional requirements; Stay current with industry trends and emerging technologies in master data management and data governance. What you'll Bring: Bachelors/Masters degree with specialization in Computer Science, MIS, IT or other computer related disciplines; 10-14 years of relevant consulting-industry experience (Preferably Healthcare bad Life Science) working on medium-large scale MDM solution delivery engagements: 5+ years of hands-on experience on designing, implementation MDM services & capabilities using tools such as Informatica MDM, Reltio etc Strong understanding of data management principles, including data modeling, data quality, and metadata management. Strong understanding of various cloud based data management (ETL Tools) platforms such as AWS, Azure, Snowflake etc,; Experience in designing and driving delivery of mid-large-scale solutions on Cloud platforms; Experience with ETL design and development, and (OLAP) tools to support business applications Additional Skills Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects; Knowledge of current data modeling, and data warehouse concepts, issues, practices, methodologies, and trends in the Business Intelligence domain; Experience with analyzing and troubleshooting the interaction between databases, operating systems, and applications; Significant supervisory, coaching and hands-on project management skills; Willingness to travel to other global offices as needed to work with client or other internal project teams.

Leverage quantitative skills to derive answers to clients ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What you'll Bring MBA with a bachelors (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation