129 Data Operations Jobs

As an ETL Developer - USWA Client Data Quality Engineer, Associate at our Gurgaon, Haryana location, you will be part of the Data Operations team. Your primary responsibility will involve ensuring the quality of client data through efficient ETL (Extract, Transform, Load) processes. You will be required to work collaboratively with various stakeholders to identify data quality issues, design and implement ETL solutions to address these issues, and continuously monitor and improve data quality. Additionally, you will play a key role in optimizing data processes to enhance overall efficiency and effectiveness. The ideal candidate for this position should possess a strong understanding of ETL concepts, data quality best practices, and experience working with ETL tools and technologies. Strong analytical skills, attention to detail, and the ability to troubleshoot and resolve data quality issues are essential for success in this role. If you are passionate about data quality, enjoy working in a collaborative team environment, and are looking to contribute to the success of our USWA client data operations, we would love to hear from you. Apply now and be part of our dynamic Data Operations team!,

About us Bain & Company is a global consultancy that helps the world's most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence, or Bain intellectual property. The BCN comprises Consulting Services, Knowledge Services, and Shared Services. Who you will work with BCN Pricing COE, as part of Bain's expert client delivery network, has the vision to lend expertise, speed, and competitiveness to Bain's Pricing projects through co-developing and deploying repeatable Pricing products and delivering client-specific analysis/solutions. Most businesses leave money on the table due to a lack of right pricing interventions. Pricing COE helps Bain clients to capture value across the value chain from problem identification, solution designing, and implementation, to capability transfer. The COE has a fast-paced environment with continuous innovation and learning. We offer a multitude of professional development opportunities for those who like to problem-solve in an analytical environment. The COE provides a truly global experience with the opportunity to work with Pricing experts, Bain teams, and clients across the world in an inclusive, collaborative, and fun-loving team culture. There are also global transfer opportunities for high performers. What you'll do As an Associate, you will be an integral part of the team, bringing specialized knowledge to pricing product(s) in development and generating insight for pricing-related IP/tools as well as help in end client delivery. You would work under the guidance of the Pricing COE Project Leader or Manager, playing a key role in driving the team's overall output while developing products or serving clients by preparing presentations, data analysis, and other initiatives. You are expected to oversee and train a team of COE Analysts across the above effort and develop the next set of specialists. You will be 100% staffed on a specific project at a time, take responsibility for assigned work streams, and ensure zero-defect analysis across those workstreams. Effectively understand the work plan and execute it along with applying the best-suited analytical tools like Alteryx, Tableau, etc. Brainstorm with the Project Leader on various aspects of the project or IP work, which ranges across scope definition, data cleaning, explorations, solution designing, and insights, etc. Help in driving conversations through analytics, including, but not limited to - Building dashboards, Driving insights through data analysis, and Story-lining the deliverable to prove/disprove hypotheses. Deliver clear and professional presentations to teams/project team/managers, etc. Help in Coaching Analysts on task execution, Support CoE operations like training, recruitment, etc., and work with Project leaders to drive a positive team experience. About you Work experience range in case the highest qualification is undergraduate studies 2-5 years of hands-on experience in data operations, data analytics, or consulting with pricing/marketing analytics exposure and strong academic records. Work experience range in case the highest qualification is postgraduate studies 0-3 years of hands-on experience in data operations, data analytics, or consulting with pricing/marketing analytics exposure and strong academic records. Candidates should possess good technical, analytical, communication, and team skills. Prior experience with data analytics is important. Strong skills in Microsoft Excel and PowerPoint and interest in learning new analytical/statistical tools and techniques are required. Proficiency and experience in analytical tools (such as Alteryx, Tableau) will be preferred. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents.,

Job DescriptionJob Description For Consultant - Data Engineer Key Responsibilities and Core Competencies: You will be responsible for managing and delivering multiple Pharma projects. Leading a team of atleast 8 members, resolving their technical and business related problems and other queries. Responsible for client interaction; requirements gathering, creating required documents, development, quality assurance of the deliverables. Good collaboration with onshore and Senior folks. Should have fair understanding of Data Capabilities (Data Management, Data Quality, Master and Reference Data). Exposure to Project management methodologies including Agile and Waterfall. Experience working in RFPs would be a plus. Required Technical Skills Proficient in Python, Pyspark, SQL Extensive hands-on experience in big data processing and cloud technologies like AWS and Azure services, Databricks etc. Strong experience working with cloud data warehouses like Snowflake, Redshift, Azure etc. Good experience in ETL, Data Modelling, building ETL Pipelines. Conceptual knowledge of Relational database technologies, Data Lake, Lake Houses etc. Sound knowledge in Data operations, quality and data governance. Preferred Qualifications Bachelors or masters Engineering/ MCA or equivalent degree. 7-9 years of experience as Data Engineer, with atleast 2 years in managing medium to large scale programs. Minimum 5 years of Pharma and Life Science domain exposure in IQVIA, Veeva, Symphony, IMS etc. High motivation, good work ethic, maturity, self-organized and personal initiative. Ability to work collaboratively and providing the support to the team. Excellent written and verbal communication skills. Strong analytical and problem-solving skills. Location Preferably Hyderabad, India About Us Chryselys is a US based Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. Chryselys was founded in the heart of US Silicon Valley in November 2019 with the vision of delivering high-value business consulting, solutions, and services to clients in the healthcare and life sciences space. We are trusted partners for organizations that seek to achieve high-impact transformations and reach their higher-purpose mission. Chryselys India supports our global clients to achieve high-impact transformations and reach their higher-purpose mission. Please visit https://www.linkedin.com/company/chryselys/mycompany/ https://chryselys.com/ for more details. Show more Show less

Operations-Data Operations

6 months contract (extendable) Location: Noida Mode: Hybrid , candidate needs to travel 4 days in a month to office 2+ years of experience in Data Operations BGV is mandatory

What is the Manager - FTS Data Operations Project Support & Shared Svcs group responsible for? The Manager - FTS Data Operations provides oversight support for FTS Data Operations teams which monitors and resolves issues within the Data Integration Enterprise Service Bus (ESB). The Manager will manage a team that ensures that crucial FTS data is available and accurate as it flows into the ESB for storage and then flows onto the consuming systems (i.e. GMAX, Charles River, PMA) The manager will ensure that the team logs and resolves any data, functionality, and/or system issues reported, track issues for further trend analysis and identify root cause and provide proposed resolutions, provide recommendations. The manager will partner with the FTS System Support and various FTT teams to resolve more complex data-related issues as well as provide data related reporting to the Data Governance teams. The manager will manage, supervise, plan and administer the daily work of assigned staff in order to ensure it is completed in accordance with departmental guidelines and ensure an effective internal control environment is maintained. The manager will monitor staff performance measurements and provide timely feedback to both staff and management. The manager will be responsible for establishing new processes, workflows, and procedures related to creating a newly formed team. They will also be responsible for running a team in a 24/7 support role including triage, prioritization and escalation of problems until resolution. The Manager will be the site manager for Hyderabad operations & Poznan Operations. The manager will interact with multiple business and technical departments as well as multiple levels of leadership. The Data Operations team is responsible for: Monitoring the FTS dashboard for the Data Integration layer, ensuring data feeds are meeting SLA's ensuring complete and timeous delivery of data and ensuring resolution of all data processing exceptions Ensuring that errors are properly communicated to the appropriate operational groups from the workflow monitor. Liaise with FTS Operational Teams on data and data consumption related issues. Tracking and identifying trends for review with operation groups to identify root cause, propose resolution, provide recommendations, conduct system test to validate the fixes prior to implementing changes. Partnering with technical groups to monitor, troubleshoot and resolve errors from any system interfaces to the investment management systems. Researching, analyzing and solving problems related to ESB data and any data services. Maintaining control procedures and performing data integrity audits as necessary in order to ensure the accuracy and integrity of data. Responsible for managing global teams (Hyderabad & Poznan) What are the ongoing responsibilities of Manager - FTS Data Operations - Project Support & Shared Svcs responsible for? Performance standards: Ensure all daily work is completed timely, accurately and according to procedures. Create, maintain, recommend and implement efficient departmental processes and ensure departmental procedures are kept current and an effective control environment is maintained. Ensure uninterrupted service to internal clients. Ensure regular feedback is provided to clients sending and consuming FTS data. Recruit staff, as necessary. Productivity and efficiency: Monitor staff performance measurements and provide timely feedback to both staff and management. Ensure timely updates to IPP. Provide input into pay decisions. Ensure all management reporting is complete, timely and effective given any process or data changes. Ensure staff is effectively trained to execute their daily responsibilities. Communication: Identify and communicate workflow and training deficiencies and develop resulting action plans, etc. Maintain a regular communication medium with business partners to discuss service levels and trends identified. Keep a current understanding of the appropriate group workflows (PM, Trading, Operations, Compliance) and ensure that changes are appropriately reflected in the ESB Project Participation: Assist in projects to bring in new information to the ESB as well as new subscribers to the ESB. People and Team Leadership: The Manager works with the Director on planning, strategic and development activities. Manage all department activities and deliverables to ensure accuracy and timeliness standards. Manager is the primary contact for matters requiring escalation Lead the continuous enhancement of department processes, reports, and procedures Develop and implement standards of performance and best practices, including work planning/prioritization Provide development opportunities for direct reports to expand their skill-sets and foster their career growth. Set performance objectives for direct reports, review progress regularly, and conduct periodic and formal IPP evaluations. Promptly identify performance issues, and take appropriate remedial actions. What ideal qualifications, skills & experience would help someone to be successful? Requires 8+ years of relevant industry experience 4-year College degree 3-4 years experience in Investment Management and Operations 2-3 years experience in Data Operations and management preferred 4-year supervisory experience of large staffs Solid understanding of financial markets, standard asset classes, and various security types Experience with relational databases and administration of systems. Experience building new business and technical functions and workflows, establishing and documenting procedures. Preferred FTS Systems Experience Work Shift Timings - 2:00 PM - 11:00 PM IST (Should be flexible)

As the Data Governance Tooling & Lifecycle Management Lead at McDonald's Corporation in Hyderabad, you will play a crucial role in developing and implementing end-to-end strategies for data governance tooling and processes across the enterprise. Your responsibilities will include owning the architecture, implementation, and administration of enterprise data governance platforms, such as Collibra, and defining governance workflows, metadata curation, and policy enforcement processes. You will work closely with various teams to ensure data is governed, discoverable, and trusted throughout its lifecycle. In this role, you will be responsible for developing and implementing strategies for data lifecycle governance, from ingestion to archival and deletion, while ensuring compliance with regulations and business needs. You will also lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools. Collaborating with legal, compliance, and security teams, you will define and enforce data access, classification, and privacy policies to support regulatory compliance frameworks. To be successful in this role, you should have at least 11 years of experience in data governance, metadata management, or data operations, with a minimum of 3 years of experience in owning enterprise tooling or lifecycle processes. Deep expertise in data governance platforms, metadata and lineage management, cloud platforms such as GCP and AWS, SQL, ETL/ELT pipelines, and compliance practices is required. You should also possess excellent project management and stakeholder communication skills, along with a degree in Data Management, Information Systems, Computer Science, or a related field. Preferred experience includes working in Retail or QSR environments managing governance across global data operations, exposure to data product ownership, and familiarity with APIs and automation scripts. Holding a current GCP Associates or Professional Certification would be an added advantage. This is a full-time, hybrid role based in Hyderabad, India, where you will collaborate with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption. Your contributions will be vital in reporting on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils. If you are looking to join a dynamic team at the forefront of innovation in the fast-food industry, this role offers a unique opportunity to make a significant impact on McDonald's global data governance initiatives.,

As a Customer/Transportation Master Data Analyst at Amgen, you will play a crucial role in ensuring the accuracy and consistency of master data (Customer and Transportation) across the organization. Your responsibilities will include managing data validation, cleansing, and enrichment to maintain data integrity. Collaborating with teams to resolve issues, you will also support key performance monitoring, data governance, and compliance efforts. Additionally, you will be involved in data migration and integration projects. To excel in this role, candidates should have experience in enterprise applications like SAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills. Your responsibilities will involve performing data operations tasks such as maintenance and validation to guarantee the accuracy and integrity of master data. You will be instrumental in supporting process optimization initiatives to enhance data management workflows and efficiency. By conducting data analysis, you will identify trends, discrepancies, and improvement opportunities. Moreover, you will provide training and support to partners, customers, and end-users on master data processes, tools, and best practices. Keeping data quality reports to monitor performance metrics and ensure data compliance will also be part of your role. Collaboration with business, IT, and operations teams will be essential to resolve data-related issues and align with organizational goals. The ideal candidate for this role will have a Master's degree with 1 to 3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains. Alternatively, a Bachelor's degree with 3 to 5 years of relevant experience or a Diploma with 7 to 9 years of experience could also be considered. Essential skills include technical proficiency in SAP/Oracle and Microsoft Office, strong analytical abilities, problem-solving skills, attention to detail, and excellent communication skills. Proficiency in Excel, understanding of data governance frameworks, and knowledge of SAP/Oracle are also expected. Preferred qualifications include experience with SAP S/4, SAP MDG, and SAP TM. Soft skills such as good analytical and troubleshooting skills, effective communication, ability to work in global teams, self-motivation, and teamwork are highly valued. At Amgen, you can expect comprehensive Total Rewards Plans in addition to competitive benefits and a supportive culture that fosters professional and personal growth. If you are looking for a career that defies imagination and are eager to join a team dedicated to advancing science and serving patients, consider joining us at Amgen. Amgen is committed to creating an inclusive environment and values diversity, ethics, commitment, and accomplishment. Together, we strive to combat serious diseases and improve the quality of life for people worldwide. If you require reasonable accommodation during the job application or interview process, or need assistance to perform essential job functions, please reach out to us.,

About The Role Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Specialist Qualifications: Master Degree in Life Sciences Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skillsAbility to establish strong client relationshipAgility for quick learningExperience with Clinical testing - Creation of test scripts for all types of UAT including eCRF UAT, Edit checks UAT, Clinical Data Model UAT and Reports listing UAT and execution of test steps Followed with strong documentation skills and Knowledge of regulatory guidelines such as GCP, ICH, 21 CRF Part 11 and GDRP. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Master Degree in Life Sciences

At PwC, the focus of individuals in data management is on organizing and maintaining data to ensure accuracy and accessibility for effective decision-making. This includes handling data governance, quality control, and data integration to support business operations. As part of the data quality and operations team at PwC, you will specifically concentrate on ensuring the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your responsibilities will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. Additionally, you will be tasked with managing data operations, including data acquisition, transformation, and loading processes, to facilitate the smooth functioning of data management systems and processes. Your role extends beyond technical tasks, as you are expected to build meaningful client connections and learn how to manage and inspire others. You will navigate complex situations, enhance your personal brand, deepen technical expertise, and become more aware of your strengths. Anticipating the needs of your teams and clients, and delivering quality work are crucial aspects of your responsibilities. Embracing ambiguity, you are comfortable in uncertain situations, ask pertinent questions, and view such moments as opportunities for personal growth. In terms of required skills, you need to effectively respond to diverse perspectives, utilize various tools and methodologies to generate innovative solutions, employ critical thinking to tackle complex concepts, understand project objectives and overall strategy alignment, develop a deeper business context understanding, use reflection for self-awareness and skill enhancement, interpret data for insights and recommendations, and adhere to professional and technical standards such as PwC guidelines and codes of conduct. Job Overview: The GL Support Services Analyst will be responsible for working on an end-to-end digital asset management solution, encompassing the creation, curation, publication, and maintenance of digital assets. This role involves supporting the Governance & Curation (G&C) process across multiple territories, ensuring smooth delivery and coordination with stakeholders. The analyst will conduct technical and curation reviews, perform user acceptance testing (UAT), and contribute to the development and upkeep of the digital asset library and repository. Main Purpose of the Job: - Work on an end-to-end digital asset management solution, including creating, curating, publishing, and maintaining digital assets. - Support the Governance & Curation (G&C) process across multiple territories. - Coordinate with stakeholders to ensure seamless delivery of digital assets. - Conduct technical and curation reviews of asset submissions. - Perform user acceptance testing (UAT) of the digital asset management platform. - Contribute to the development and maintenance of the digital asset library and repository. - Collaborate with the team to identify automation trends, propose enhancements, and prioritize future directions. - Monitor usage and impact of the digital asset management solution through reports and dashboards. - Support bite-size learning initiatives by creating content and tickets. Key Background Information: - Proficiency in MS Office (Word, Advanced Excel, PowerPoint), and Outlook. - Excellent communication skills for stakeholder coordination and findings presentation. - Ability to work in a fast-paced environment and manage multiple tasks simultaneously. Requirements: - 1-2 years of relevant experience in asset management, testing, or a related field. - Bachelor's degree with proficiency in technical skills. - Technical capability in utilizing tools such as Alteryx, Power BI, MS Office for digital asset management tasks. - Strong interpersonal and communication skills for effective collaboration. - Detail-oriented with excellent organizational and time management skills. - Strong problem-solving abilities and adaptability to changing priorities and deadlines. Desirable Requirements: - Familiarity with data analysis and reporting tools. - Knowledge of industry best practices and emerging trends in digital asset management.,

Tech stack- Database: Mongodb: S3 Postgres Strong experience on Data pipelines; mapping React; Node; Python Aws; Lambda About the job Summary We are seeking a detail-oriented and proactive Data Analyst to lead our file and data operations, with a primary focus on managing data intake from our clients and ensuring data integrity throughout the pipeline. This role is vital to our operational success and will work cross-functionally to support data ingestion, transformation, validation, and secure delivery. The ideal candidate must have hands-on experience with healthcare datasets, especially medical claims data, and be proficient in managing ETL processes and data operations at scale. Responsibilities File Intake & Management Serve as the primary point of contact for receiving files from clients, ensuring all incoming data is tracked, validated, and securely stored. Monitor and automate data file ingestion using tools such as AWS S3, AWS Glue, or equivalent technologies. Troubleshoot and resolve issues related to missing or malformed files and ensure timely communication with internal and external stakeholders. Data Operations & ETL Develop, manage, and optimize ETL pipelines for processing large volumes of structured and unstructured healthcare data. Perform data quality checks, validation routines, and anomaly detection across datasets. Ensure consistency and integrity of healthcare data (e.g., EHR, medical claims, ICD/CPT/LOINC codes) during transformations and downstream consumption. Data Analysis & Reporting Collaborate with data science and analytics teams to deliver operational insights and performance metrics. Build dashboards and visualizations using Power BI or Tableau to monitor data flow, error rates, and SLA compliance. Generate summary reports and audit trails to ensure HIPAA-compliant data handling practices. Process Optimization Identify opportunities for automation and efficiency in file handling and ETL processes. Document procedures, workflows, and data dictionaries to standardize operations. Required Qualifications Bachelors or Master’s degree in Health Informatics, Data Analytics, Computer Science, or related field. 5+ years of experience in a data operations or analyst role with a strong focus on healthcare data. Demonstrated expertise in working with medical claims data, EHR systems, and healthcare coding standards (e.g., ICD, CPT, LOINC, SNOMED, RxNorm). Strong programming and scripting skills in Python and SQL for data manipulation and automation. Hands-on experience with AWS, Redshift, RDS, S3, and data visualization tools such as Power BI or Tableau. Familiarity with HIPAA compliance and best practices in handling protected health information (PHI). Excellent problem-solving skills, attention to detail, and communication abilities.

WPP is a creative transformation company that utilizes the power of creativity to create better futures for its people, planet, clients, and communities. Joining WPP means becoming part of a global network of over 100,000 talented individuals dedicated to delivering exceptional work for clients worldwide. With operations in more than 100 countries and headquarters in New York, London, and Singapore, WPP is a prominent player in marketing services, boasting deep AI, data, and technology capabilities, as well as unparalleled creative talent. A significant portion of the Fortune Global 500 companies are among our clients. Our people are fundamental to our success. We are committed to cultivating a culture of creativity, inclusivity, and continuous learning, attracting and nurturing the brightest talents, and offering exciting career prospects that facilitate personal growth. At WPP, technology is central to our operations, and WPP IT is on a mission to empower everyone to collaborate, create, and thrive. The IT division of WPP is currently undergoing a substantial transformation to modernize work processes, transition to cloud and micro-service-based architectures, promote automation, digitalize colleague and client experiences, and extract insights from WPP's extensive data resources. WPP Media, a leading media investment company globally, is responsible for managing over $63 billion in annual media investments through agencies such as Mindshare, MediaCom, Wavemaker, Essence, m/SIX, Xaxis, and Choreograph. The WPP Media IT team within WPP IT serves as the technology solutions partner for the agencies under WPP Media, overseeing end-to-end change delivery, managing the technology life cycle, and driving innovation. We are currently seeking a proficient Data Operations Lead to lead our newly established Data Integration & Operations team in Chennai. In this role, you will be responsible for defining operational strategies and overseeing day-to-day delivery. The team, part of the global Data & Measure function, focuses on ensuring the efficient, reliable, and consistent operation of our data products across various platforms and markets. Your responsibilities will include: - Taking technical ownership and leading a team responsible for data integration, ingestion, orchestration, and platform operations. - Establishing and managing automated data pipelines using tools such as Azure Data Factory, GCP Dataflow/Composer, or equivalent. - Implementing platform-wide monitoring, logging, and alerting mechanisms. - Managing cloud environments, including security, access control, and deployment automation. - Developing standard operating procedures, runbooks, onboarding guides, and automation patterns. - Ensuring scalable and repeatable practices across all supported data products. - Defining deployment frameworks and templates for integration. - Setting up SLAs, incident workflows, and escalation models. - Proactively identifying and addressing operational risks in cloud-based data platforms. - Collaborating with development and product teams to facilitate the smooth transition from development to operations. - Mentoring and leading a growing team in Chennai, shaping the team's operating model, priorities, and capabilities, and serving as a subject matter expert and escalation point for technical operations. Required Skills: - 7+ years of experience in data operations, platform engineering, or data engineering. - Proficiency in Azure and/or GCP environments. - Strong understanding of cloud-native data pipelines, architecture, and security. - Skills in orchestration (e.g., ADF, Dataflow, Airflow), scripting (Python, Bash), and SQL. - Familiarity with DevOps practices, CI/CD, and infrastructure-as-code. - Demonstrated experience in managing production data platforms and support. - Ability to design operational frameworks from scratch. - Experience in leading technical teams, including task prioritization, mentoring, and delivery oversight. Preferred Skills: - Experience with tools like dbt, Azure Synapse, BigQuery, Databricks, etc. - Exposure to BI environments (e.g., Power BI, Looker). - Familiarity with global support models and tiered ticket handling. - Experience in documentation, enablement, and internal tooling. If you embody openness, optimism, and a drive for excellence, WPP offers: - A culture that promotes inclusivity, collaboration, and the exchange of diverse ideas. - Opportunities to utilize creativity, technology, and talent to create brighter futures for people, clients, and communities. - Challenging and stimulating work that encourages creative problem-solving. - A hybrid work model that fosters creativity, collaboration, and connection, with teams in the office around four days a week. Accommodations and flexibility can be discussed with the hiring team during the interview process. WPP is committed to being an equal opportunity employer, considering all applicants without discrimination. We strive to create a culture of respect, inclusivity, and equal opportunities for career advancement for all individuals. For more information on how we process your information, please refer to our Privacy Notice.,

As a Systems Data Officer based in London on a 9-Month Fixed Term Contract, you will be responsible for supporting data operations. Your role will involve cleaning, validating, and preparing data for upload into the new internal system. You will manage data transfers to ensure accuracy and integrity while collaborating with teams to understand data requirements and resolve any discrepancies that may arise. Additionally, you will support process improvements, troubleshoot system issues, and communicate effectively with stakeholders to ensure smooth data integration. To excel in this role, you should hold a degree in Mathematics, Physics, or a related field. Strong communication skills are essential as you will be liaising with different teams. An analytical mindset with a keen eye for detail and data accuracy is crucial for this position. You should be comfortable working with large datasets and enjoy problem-solving challenges. Being proactive, eager to learn, and willing to contribute to system improvements are key attributes that will help you succeed in this role. This is an exciting opportunity to be part of a major system upgrade in a dynamic environment. If you thrive in data-driven roles and enjoy working in a collaborative setting, we would love to hear from you!,

As a Clinical Data Operations Specialist at Novartis Healthcare Private Limited, your role is crucial in managing data operations for use cases and demand deliverables within the Clinical Pipeline team. You will be responsible for overseeing the timely and professional maintenance of the clinical data warehouse, ensuring cost-effectiveness, quality, and adherence to timelines. Your involvement will extend to developing engaging training modules for Clinical Data Mapper onboarding, utilizing AI-based technology to simplify processes and enhance training delivery. Your key responsibilities will include providing data mapping leadership across assigned use cases, managing task allocation for Clinical Data Mapper staff, resolving conflicts in data flows, and ensuring data compliance through quality checks and validation processes. You will play a pivotal role in maintaining consistency in data mappings, building data dictionaries, and conducting data quality assessments. Additionally, you will collaborate with Data Scientists, contribute to process improvements, and work closely with the Data Engineering team for advanced data mapping requirements. To excel in this role, you should have a minimum of 5 years of experience working with clinical data, strong knowledge of CDISC standards (SDTM/ADaM), and proficiency in Clinical Data Lifecycle. Your skills should encompass clinical data management, governance, integrity, operations, quality, and privacy, along with expertise in databases, project management, and SAS/SQL. Familiarity with Python and Artificial Intelligence would be beneficial. Cross-cultural experience, functional breadth, and agile way of working are also desired qualifications. Your performance will be measured based on achieving high levels of quality, timeliness, cost-efficiency, and customer satisfaction across data operations activities. Adherence to Novartis policies and guidelines, along with positive feedback from customers, partners, and projects, will be key indicators of success. Joining Novartis offers you the opportunity to be part of a community dedicated to making a difference in patients" lives through innovative science. By collaborating with a team of smart and passionate individuals, you can contribute to breakthroughs that positively impact healthcare. If you are ready to create a brighter future together, we invite you to explore career opportunities within our network. In this role, you will be based in Hyderabad, India, as part of the Biomedical Research division under the Innovative Medicines business unit. As a full-time employee, you will work in a regular shift without the requirement for shift work. Novartis is committed to providing accessibility and accommodation for individuals with disabilities during the recruitment process. If you require any accommodations, please contact us at [email protected] with details of your request and the job requisition number. Our goal is to build an inclusive work environment that represents the diversity of the patients and communities we serve.,

Role & responsibilities - Strong knowledge in OOPs and creating custom python packages for serverless applications. Strong Knowledge in SQL querying. Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images. Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data. Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER). Strong Leadership Skills. Deployment of custom trained and prebuilt NER models using AWS Sagemaker. Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2. Should have Intellectual curiosity to learn new things. ISMS responsibilities should be followed as per company policy. Preferred candidate profile - 3+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions. 3+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining. Hands on expertise to integrate multiple data sources in a streamlined pipeline.

Overview As Data Modelling Assoc Manager, you will be the key technical expert overseeing data modeling and drive a strong vision for how data modelling can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data modelers who create data models for deploying in Data Foundation layer and ingesting data from various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data modelling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will independently be analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modelling working closely with Data Governance, Data Engineering and Data Architects teams. You will provide technical guidance to junior members of the team as and when needed. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Advocates existing Enterprise Data Design standards; assists in establishing and documenting new standards. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the data science team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 12+ years of overall technology experience that includes at least 6+ years of data modelling and systems architecture. 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 6+ years of experience developing enterprise data models. 6+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP). 6+ years of experience with building solutions in the retail or in the supply chain space. Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models). Fluent with Azure cloud services. Azure Certification is a plus. Experience scaling and managing a team of 5+ data modelers Experience with integration of multi cloud services with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring, hiring and scaling data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals Ability to lead others without direct authority in a matrixed environment. Differentiating Competencies Required Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions Strong communication skills to meet with business, understand sometimes ambiguous, needs, and translate to clear, aligned requirements Able to work independently with business partners to understand requirements quickly, perform analysis and lead the design review sessions. Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business. Places the user in the centre of decision making. Teams up and collaborates for speed, agility, and innovation. Experience with and embraces agile methodologies. Strong negotiation and decision-making skill. Experience managing and working with globally distributed teams

Responsibilities Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential. Design, structure and store data into unified data models and link them together to make the data reusable for downstream products. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Create reusable accelerators and solutions to migrate data from legacy data warehouse platforms such as Teradata to Azure Databricks and Azure SQL. Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost. Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards. Define and manage SLAs for data products and processes running in production. Create documentation for learnings and knowledge transfer to internal associates. Qualifications 12+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture. 8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools. 6+ years of experience in SQL optimization and performance tuning on MS SQL Server, Azure SQL or any other popular RDBMS 6+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks 4+ years in cloud data engineering experience in Azure or AWS. Fluent with Azure cloud services. Azure Data Engineering certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one business intelligence tool such as Power BI or Tableau Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes. Experience with version control systems like ADO, Github and CI/CD tools for DevOps automation and deployments. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Understanding of metadata management, data lineage, and data glossaries is a plus. BA/BS in Computer Science, Math, Physics, or other technical fields. Candidate must be flexible to work an alternative work schedule either on tradition work week from Monday to Friday; or Tuesday to Saturday or Sunday to Thursday depending upon product and project coverage requirements of the job. Candidates are expected to be in the office at the assigned location at least 3 days a week and the days at work needs to be coordinated with immediate supervisor Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals. Ability to lead others without direct authority in a matrixed environment. Comfortable working in a hybrid environment with teams consisting of contractors as well as FTEs spread across multiple PepsiCo locations. Domain Knowledge in CPG industry with Supply chain/GTM background is preferred.

You will be working as an Associate Data Operations Analyst at Confluence, a global technology solutions provider in the investment management industry. In this role, you will be responsible for organizing and maintaining data to ensure accuracy and integrity while also looking for ways to enhance efficiency. Your tasks will include collaborating with Analysts, Specialists, and Subject Matter Experts to develop and implement data entry, storage, and retrieval processes. Your key contributions will involve updating and processing mapping tables, monitoring data traffic, analyzing data, creating reports, participating in projects, and preparing process documentation. You will also be responsible for identifying inconsistencies, performing filing validations, executing calculations, and managing timelines. Additionally, you will need to possess proficient problem-solving skills and be detail-oriented, organized, and capable of managing your workload independently. To excel in this role, you should have a relevant bachelor's degree from a recognized tertiary institute and at least 5 years of experience in a similar role. Experience in the Financial, Investment Services, or SaaS industry is preferred, with exposure to regulatory reporting of US/EU regulations and Fund Administration being advantageous. Proficiency in Microsoft Office Suite and Excel is essential, with basic knowledge of SQL, VBA Macros, and Python considered an additional asset. As an Associate Data Operations Analyst, you will be expected to be a self-starter, adaptable, and an effective communicator. You will work collaboratively with global colleagues, manage multiple priorities, and contribute to the team's success. Travel may be required, and you are expected to embody the company values of Integrity, Imagine, Discipline, and Service in your actions and interactions.,

As the Partner Product Data Operations Specialist at Avenue Code, you will be responsible for managing the end-to-end lifecycle of partner data requests. This role requires meticulous attention to detail and close collaboration with business managers, engineering, and IT teams to ensure the accurate and timely delivery of data feeds, resolution of partner queries, and maintenance of secure data operations. Your contributions will play a critical role in supporting our commitment to delivering exceptional digital transformation solutions across various verticals. Your primary responsibilities will include communicating with business managers to address partner queries and facilitate smooth data flow, managing the entire requests lifecycle from gathering requirements to delivering data to partners, creating and prioritizing the DevOps backlog to ensure timely completion of tasks, troubleshooting data feeds for accuracy, and promptly resolving any issues. You will also be involved in renewing and managing encryption keys, setting up data feeds for new partners, and addressing technical inquiries from partners while coordinating with internal teams as needed. To excel in this role, you should possess a minimum of 3 years of experience in data operations, technical support, or a related field. Strong verbal and written communication skills are essential for effective interaction with business managers and partners. Additionally, you must demonstrate the ability to independently troubleshoot and resolve technical issues, manage multiple tasks efficiently, prioritize effectively, and ensure timely completion of responsibilities. Proficiency in managing data feeds, troubleshooting data issues, and overseeing tasks for the DevOps team is crucial. Avenue Code values diversity and inclusivity, promoting a safe and equitable work environment by recognizing differences and fostering opportunities for all. As part of our team, you will have the opportunity to engage with a wide range of stakeholders, manage the end-to-end request lifecycle, and contribute to the successful delivery of data operations solutions to our partners. Your ability to manage stakeholders effectively, handle product/project management tasks, and coordinate with cross-functional teams will be key to your success in this role. If you possess a Bachelor's degree in a related field or equivalent experience, along with the necessary technical skills and a proactive problem-solving mindset, we invite you to apply for this exciting opportunity. The interview process will consist of two virtual interview rounds, allowing us to assess your fit for the role and provide you with insights into our collaborative and professional work environment. Avenue Code is committed to upholding the highest standards of privacy and data protection in compliance with global regulations such as GDPR, LGPD, CCPA, and CPRA. Your candidate data will be treated with confidentiality and will only be shared internally with Avenue Code's clients and other companies within the CompassUol Group when necessary for service delivery. Join us in our mission to drive digital transformation and deliver innovative solutions that make a difference in every industry we touch.,

About the Role: Grade Level (for internal use): 07 The Team The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities & Impact In this role, you will play a vital part in supporting the data teams objectives by focusing on the collection, analysis, and maintenance of datasets. Your contributions will directly impact the accuracy, completeness, and timeliness of the data we provide. You will collaborate with team members to execute data quality initiatives and assist in the execution of ad-hoc projects aimed at enhancing our data offerings. This role offers an opportunity to develop your analytical skills while working with motivated individuals, contributing to the teams goals by generating actionable insights that inform decision-making and support operational excellence. Your work will help ensure that our datasets meet the highest standards, driving value for our clients and stakeholders. Responsibilities Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage. Conduct data cleansing to ensure accuracy and consistency in datasets by regularly reviewing and refining them. Perform routine reporting and basic trend analysis to generate reports that highlight trends for actionable insights. Automate data collection and reporting tasks using SQL and Lean methodologies to streamline processes and enhance efficiency. Utilize GenAI tools for exploratory data analysis to extract deeper insights from datasets for informed decision-making. Maintain thorough documentation of data collection processes to ensure compliance and facilitate future reference. Deliver individual and team targets by achieving predefined goals with a focus on quality and accuracy. Provide input for new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot data-related issues and support team members by addressing discrepancies and fostering collaboration. Support workflow and process improvements by participating in initiatives aimed at refining team performance. Preferred Qualification/What We are Looking For Masters degree in finance, economics, data science, or related fields. Strong analytical mindset with attention to detail and quantitative skills. Basic knowledge of SQL and Excel; familiarity with BI tools is a plus. Understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is desirable. Willingness to learn and adapt to modern technologies, including GenAI . Excellent communication, time-management, and multi-tasking skills. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Basic project management skills for ad-hoc projects. Interest in market trends and ability to analyze market dynamics. Strong collaboration and interpersonal skills to build team relationships. Proactive in enhancing technical skills relevant to data analysis. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Gurugram,Bengaluru,Mumbai,Maharastra

Responsibilities Build and maintain data workflows using Python, Google Sheets & AWS Enhance existing workflows by identifying and automating new scenarios Support the team in creating new data workflows Troubleshoot errors Maintain documentation

Job Responsibilities We are looking for an Analyst to support the Global Marketing Operations team by providing the following: Utilize strong mathematical aptitude and problem-solving skills to analyze data and support decision-making processes. Develop and maintain complex Smartsheet/Excel spreadsheets, and utilize Python, SQL, Power BI, and Smartsheet for data analysis and reporting. Utilize Smartsheet control center, Dynamic view, Data mesh & Data Shuttle for automation and Data management. Implement and manage REST API and webhook integrations as needed. Provide training and support to users on Smartsheet best practices. Collaborate with stakeholders to gather and implement requirements. Key skills and experience The role requires 1-3 years of professional experience in Smartsheet, Excel, Power BI, Python, SQL including Smartsheet advanced functionalities. Experience in creating databases, templates, reports and dashboards. Strong expertise in Smartsheet and Excel scripts, automation and API Integration. Experience in REST APIs, JSON and Scripting for Smartsheet automation (Preferred). Strong problem-solving skills and ability to manage multiple projects simultaneously. Excellent communication and documentation skills. A BTech in Computer Science is preferred, but candidates from any engineering branch are welcome.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Responsibilities Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate.Responsibilities: Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview As Sales Sr. Mgr., ensure that exceptional leadership & operational direction is provided by his/her analysts team to sales employees across multiple teams and markets. His/her Planogram Analysts deliver visually appealing planograms based on store clustering, space definitions and defined flow. Work closely with Category Management and Space teams to ensure planograms meet approved parameters. Conduct planogram quality audit ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics. Continuously identify opportunities and implement processes to improve quality, timeliness of output and process efficiency through automation. Responsibilities Head the DX Sector Planogram Analyst team and ensure efficient, effective and comprehensive support of the sales employees across multiple teams and markets Lead and manage the Planogram Analysts work stream by working closely with Sector Space & Planogram team Ensure accurate and timely delivery of tasks regarding: deliver visually appealing versioned planograms based on store clustering, space definitions and defined flow work closely with Category Management and Space teams to ensure planogram meet approved parameters conduct planogram quality control ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics electronically deliver planograms to both internal teams and external customer specific systems manage multiple project timelines simultaneously ensure timelines are met by tracking project process, coordinating activities and resolving issues build and maintain relationships with internal project partners manage planogram version/store combination and/or store planogram assignments and to provide reporting and data as needed maintain planogram database with most updated planogram files retain planogram models and files for historical reference, as needed Invest and drive adoption of industry best practices across regions/sector, as required Partner with global teams to define strategy for End to End execution ownership and accountability. Lead workload forecasting and effectively drive prioritization conversation to support capacity management. Build stronger business context and elevate the teams capability from execution focused to end to end capability focused. Ensure delivery of accurate and timely planograms in accordance with agreed service level agreements (SLA) Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Ability to focus against speed of execution and quality of service delivery rather than achievement of SLAs Recognize opportunities and take action to improve delivery of work Implement continued improvements and simplifications of processes and optimal use of technology Scale-up operation in-line with business growth, both within existing scope, as well as new areas of opportunity Create an inclusive and collaborative environment People Leadership Enable direct reports capabilities and enforce consistency in execution of key capability areas; planogram QC, development and timely delivery Responsible for Hiring, talent assessment, competency development, performance management, productivity improvement, talent retention, career planning and development Provide and receive feedback about the global team and support effective partnership. Qualifications 10+ yrs. of retail/merchandizing experience (including JDA) 2+ yrs. of people leadership experience in a Space planning/planogram environment Bachelors in commerce/business administration/marketing, Masters degree is a plus Advanced level skill in Microsoft Office, with demonstrated intermediate-advanced Excel skills necessary Experience with analyzing and reporting data to identify issues, trends, or exceptions to drive improvement of results and find solutions Advanced knowledge and experience of space management technology platform JDA Propensity to learn PepsiCo software systems Ability to provide superior customer service Best-in-class time management skills, ability to multitask, set priorities and plan