1386 Data Governance Jobs - Page 18

Key Responsibilities: Understand all of our data definitions and nuances (e.g., attribution window) Maintain and update glossary; Advise various internal stakeholders Consult data visualization team and analysts on what data to use for new reports and analyses Recommend development or enhancement of datasets for reporting and analyses questions Develop and implement data governance policies and procedures to ensure data quality, availability, and integrity. Work closely with data stewards, data owners, and other stakeholders to define and enforce data governance standards. Monitor and evaluate data governance processes to ensure compliance with industry best practices Design, develop, and maintain scalable and efficient data pipelines and ETL processes. Integrate data from various sources into centralized data platforms (e.g., data lakes, data warehouses). Optimize data workflows for performance, reliability, and scalability. Collaborate with data scientists, analysts, and business teams to support data needs. Ensure data quality, consistency, lineage, and metadata management. Maintain data catalogs and support data stewardship initiatives. Conduct audits and assessments to identify and mitigate data risks. Required Skills & Qualifications: Bachelors or Master’s degree in computer science, Information Systems, or a related field. 4-6 years of experience in data governance, data management, or a related field. Proven experience in data engineering and data governance roles. Proficiency in SQL, Python, and ETL tools. Experience with cloud data platforms. Familiarity with data governance tools. Strong understanding of data modeling, data warehousing, and data architecture. Strong understanding of data governance frameworks, principles, and best practices. Experience with data quality management, metadata management, and data lineage practices. Familiarity with data governance tools and technologies (e.g., Collibra, Informatica, Alation). Excellent analytical, problem-solving, and decision-making skills. Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Ability to manage multiple projects and priorities in a fast-paced environment.

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value. Business Insights Services Intern Data Analyst Description This position is based in Bengaluru, India. Are you a business data analyst who wants to make a broad impact? Do you excel in telling data stories and creating compelling data visuals designed for decision makers? Business Insights Services will partner directly with Calix customers to leverage their business data to answer specific questions or solve unique business challenges. As an intern, you will assist in designing, prototyping, and managing an expanding catalog of defined business engagements leveraging a customer s data that results in a detailed action plan with compelling data visuals and actionable recommendations. You will support our success engagement experts in delivering Business Insights Services consultations to senior leadership audiences for our most valued customers. Responsibilities: Support the technical design, development, and delivery of an expanding catalog of defined business engagements leveraging a customer s business data. Assist in recommending and implementing data analytics tools and frameworks. Help with overall data governance, preparing and warehousing, as well as reporting and advanced delivery. Continuously improve our analytic processes and adopt relevant new technology. Innovate new concepts of how we can use analytics to drive positive business outcomes for Calix customers. Document best practices in data visualization, data analysis, and user training. Required Qualifications: Strong written and verbal communication skills combined with the ability to build meaningful and influential relationships with a broad range of stakeholders. Good communicator & coordinator with a design thinking approach to solving problems. Ability to translate complex needs into appropriate solutions while remaining sensitive to the complexities of the business. Technically proficient with SQL and client reporting tools such as Excel, Power BI, or similar. Proficient scripting coding skills. Detail-oriented with the ability to analyze and interpret data at very precise and low levels, but always with an eye for the bigger strategic picture and goals. Ability to work well within a team and collaborate with external groups. Flexibility/adaptability with a can-do attitude, and an ability to react quickly to identified opportunities. Graduate degree in Data Analytics and/or Data Science. Appreciation for a culture of not taking ourselves too seriously, while taking our work very seriously. Knowledge of a wide range of data models, algorithms, and statistical analysis techniques. Excellent data visual design thinking that chooses the right data visual for the audience and tells the data story clearly. Able to adapt to, and lead through change, driving clarity through ambiguity. Strong project management and program delivery. Collaborative and consultative work styl

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team As a data-driven company, GoDaddy is looking for a quick learner and result oriented Senior Analytics Engineer to join our Strategic Finance team. Strategic Finance is a part of GoDaddy s Finance Data, Analytics, and Technology team, and our overall mission is to optimize the power of data insights & automation solutions by enabling capabilities around technology, data, and people for improved efficiency & scalability. In Strategic Finance, we leverage business intelligence and financial models to derive data-driven insights that drive top-line, strategic growth. As part of this team, you will enable efficiency and velocity of insight discovery through data product development- velocity is key but be a good citizen! You will join forces with analytics and finance leaders to abstract complexity and enable data democratization. It s key that you can translate financial analyst and business partner needs into data products that eliminate the distance between raw data and strategic action. We are seeking team members that are technical and highly communicative. The right person will raise the profile and perfection of our entire team. You can make a difference here. An affinity for efficiency is a huge plus! What youll get to do You will build highly customised data structures to enable rapid-fire analytics and visualisation Perform data automation tasks and use a variety of tools - Amazon Redshift, Spectrum, S3, SQL Server, Teradata, Athena, not to mention ETL administration tools - we use it all here Act as the specialist on technical implementation for novel data products - from the warehouse layer -> database/analytics/query layer -> visualisation layer, you know how to structure data sets and workflows for high efficiency and performance Optimise new and existing workflows for gains in performance of the query and visualisation layers (all the way to the tuning of Tableau/Quick-sight workbooks and data source performance) Build end-to-end reporting solutions from multiple data structures and sources. Support the design, development, and implementation of enterprise-wide views, dashboards, and custom reporting. Document your work products and conform to data governance standards set by the core data engineering team along the way Your experience should include 5+ years of work experience using data engineering and analytics to build an enterprise Proven development skills, particularly in SQL and Python Familiarity with the gambit of old-school and next-gen database technologies, particularly the AWS technical stack, Teradata, and MSSQL Experience balancing both speed and quality. You know how to context switch between the two priorities depending on the project and task Experience with Tableau, crafting data sources, and tuning for performance Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

Adobe CJA Configuration Engineer The key responsibilities include configuring CJA setups, managing data integrity in Adobe Experience Platform (AEP), and developing actionable insights via dashboards and reports. The candidate will also integrate CJA with other Adobe Experience Cloud solutions and ensure best practices for data governance. Key responsibilities of an Adobe CJA role include: Data integration and management: Pulling data from various sources and preparing it for analysis within Adobe CJA. Customer journey mapping: Visualizing customer interactions across touchpoints to identify key moments and potential pain points. Advanced analytics: Utilizing CJA features like path analysis, cohort analysis, and attribution modeling to understand customer behavior and campaign effectiveness. Dashboard development: Creating interactive dashboards to present key customer journey insights to stakeholders. Reporting and analysis: Interpreting data to generate actionable insights and recommendations for improving customer experience. Skills and qualifications for an Adobe CJA role: Technical expertise: Strong understanding of Adobe Analytics platform, including CJA features, data models, and analysis techniques. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization. Adobe Analytics, Cja

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science Role Value Proposition: Driven by passion and a zeal to succeed, we are looking for accomplished Program Manager to structure, plan and handle multiple projects with minimum supervision and will be responsible for successful completion of projects supporting MGCC and US D&A leadership with various strategic initiatives in development and successful implementation of governance and process excellence practices. This position would be responsible for complete adherence of the projects and its objectives and support all aspects of project management. This role will support development of best practices, processes and framework to achieve standardization and streamlining across various initiatives. Job Responsibilities Serve as analytics program manager on data, analytics projects and POCs working with data engineers, business analysts, data scientists, IT teams, vendors, executive leaders, and business stakeholders Drive transparency leveraging tech stack and data, own progress reporting and proactively communicate status Drive delivery of projects using Agile methodology for data and analytics programs Facilitate scrum ceremonies including Sprint planning, Daily stand ups, sprint reviews and retrospectives Responsible for defining relevant program metrics, status reports and continuous measurement of program portfolio best practices Lead, coach, support and mentor junior team members Interact with senior leadership teams across Data and analytics, IT and business teams Knowledge, Skills and Abilities Education Bachelor s degree. Technology /IT specialization is preferred. MBA is a preferred qualification Experience 8-12+ years of progressive experience in project/program management role with proven people influencing experience including with virtual and global teams Agile project management/delivery experience is a must preferably with Data and Analytics background Proficient in MS Office suite: Excel, PowerPoint, Project. Understanding of analytical tool stack, Azure Devboards, Jira, SharePoint is a plus CSM, SAFe Agilist certifications are preferred Ability to identify risks to project success and recommend course of action to prevent risk from negatively impacting the project; Effectively recognize when to escalate issues and options to senior management for resolution Superior solutioning techniques, organizational skills and ability to manage multiple ongoing projects. Excellent collaboration and communication skills, both written and verbal Demonstrated competency with cross-group collaboration, organizational agility, and analytical planning Strong leadership & negotiation skills

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Governance Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Job Summary: We are seeking a highly skilled and motivated Governance Tool Specialist to join our team with 4 years of experience. The candidate will be responsible for the implementation, configuration, and management of our governance tools. This role requires a deep understanding of data governance principles, excellent technical skills, and the ability to work collaboratively with various stakeholders. Optional - Experienced Data Quality Specialist with extensive expertise in using Alex Solutions tools to ensure data accuracy, consistency, and reliability. Proficiency in data profiling, cleansing, validation, and governance. Key Responsibilities: Data Governance: • Implement and configure Alex Solutions governance tools to meet client requirements. • Collaborate with clients to understand their data governance needs and provide tailored solutions. • Provide technical support and troubleshooting for governance tool issues. • Conduct training sessions and workshops to educate clients on the use of governance tools. • Develop and maintain documentation for governance tool configurations and processes. • Monitor and report on the performance and usage of governance tools. • Stay up-to-date with the latest developments in data governance and related technologies. • Work closely with the product development team to provide feedback and suggestions for tool enhancements. Data Quality: • Utilized Alex Solutions' data quality tools to develop and implement processes, standards, and guidelines that ensure data accuracy and reliability. • Conducted comprehensive data profiling using Alex Solutions, identifying and rectifying data anomalies and inconsistencies. • Monitored data quality metrics through Alex Solutions, providing regular reports on data quality issues and improvements to stakeholders. • Collaborated with clients to understand their data quality needs and provided tailored solutions using Alex Solutions. • Implemented data cleansing, validation, and enrichment processes within the Alex Solutions platform to maintain high data quality standards. • Developed and maintained detailed documentation for data quality processes and best practices using Alex Solutions' tools. Preferred Skills: Must Have Skills: Alex Solutions Good to Have: Unity Catalog, Microsoft Purview, Data Quality tool Secondary Skills: Informatica, Collibra Experience with data cataloging, data lineage, data quality and metadata management. • Knowledge of regulatory requirements related to data governance (e.g., GDPR, CCPA). • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). • Certification in data governance or related fields. • Proven experience with data governance, data quality tools and technologies. • Strong understanding of data governance principles and best practices. • Proficiency in SQL, data modeling, and database management. • Excellent problem-solving and analytical skills. • Strong communication and interpersonal skills.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Collibra Data Governance Minimum 5 year(s) of experience is required Educational Qualification : 15 years of full time education br/>Key Responsibilities : 1 Responsible for end-to-end software development and support for all assigned user stories This includes analysis and design to development, implementation, testing and support 2 Responsible for quality assurance of own delivery in conformance to the defined software delivery methodology and tools br/>Technical Experience : 1 Should possess application development experience in Java/J2EE 7/8, following industry recognized software development life cycle , Agile Software development teams 2 Excellent knowledge in Databases development using PL/SQL/ DevOps, CICD, Agile Tooling 3 Expert experience with Spring Framework, Spring Batch, MicroServices ,API Gateway architecture 4 Experience with security principles and frameworks Proficient in Spring Boot 22 , Java 18 5 Collibra is must br/>Professional Attributes : 1 Good verbal written communication skills to connect with customers at varying levels of the organization 2 Strong analytical and problem solving and interpersonal and good communication skills in English verbal and written form 3 Should be able to work as an independent team member br/>Educational Qualification : 15 years of full time education

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure. As part of the Finance Data Governance Organization (FDG) within Corporate Controllership, this role is responsible for overseeing the end-to-end process of financial regulatory data attestation, ensuring the accuracy, completeness, and traceability of data submitted to regulatory bodies. The ideal candidate will have deep knowledge of financial regulations, a strong command of data governance principles, and proven experience implementing attestation processes in complex, regulated financial environments Responsibilities Lead the design, implementation, and ongoing execution of the regulatory data attestation framework across Finance. Establish standards, controls, and documentation protocols to ensure consistent and auditable sign-off on regulatory data submissions (e.g., FR Y-9C, CCAR, Basel, BCBS 239). Partner closely with various teams to define roles and responsibilities for data ownership, validation, and attestation. Develop and manage a formalized attestation process that includes data lineage, quality checks, control evidence, and sign-off workflows. Ensure alignment with internal policies, external regulatory expectations, and proactively highlight data quality issues that impact regulatory reporting. Drive continuous improvement through root cause analysis, remediation planning, and control enhancements. Lead a high-performing team of data governance professionals, data analysts, and regulatory specialists. Provide executive-level reporting on attestation status, data risks, and control effectiveness to senior leadership and regulators. Qualifications 10+ years of experience in regulatory reporting, finance data governance, or compliance roles in a large financial institution. Deep understanding of regulatory reporting processes, requirements, and controls across U.S. and global financial regulations. Proven experience establishing or managing attestation or data certification frameworks. Strong knowledge of data governance, control design, data quality, and lineage practices. Experience with data governance and workflow tools (e.g., Collibra, Informatica, Alation, ServiceNow). Excellent leadership, stakeholder engagement, and communication skills. Bachelor s degree in Finance, Accounting, Information Management, or related field; advanced degree or certifications (e.g., CA, CPA, CISA, CDMP) preferred.

Azure Data Engineer - Soulpage IT Solutions Home Azure Data Engineer March 6, 2025 Position: Azure Data Engineer Skill set: Azure Databricks and Data Lake implementation Experience: 3+ years Notice Period: Immediate Immediate to 15 days Location: WFO, Hyderabad Job Type : Full-Time Positions: 2 Job Summary: We are looking for a highly skilled Azure Data Engineer with expertise in Azure Databricks and Data Lake implementation to design, develop, and optimize our data pipelines. The engineer will be responsible for integrating data from multiple sources, ensuring data is cleaned, standardized, and normalized for ML model building. This role involves working closely with stakeholders to understand data requirements and ensuring seamless data flow across different platforms. Key Responsibilities: Data Lake & Pipeline Development Design, develop, and implement scalable Azure Data Lake solutions . Build robust ETL/ELT pipelines using Azure Databricks, Data Factory, and Synapse Analytics . Optimize data ingestion and processing from multiple structured and unstructured sources. Implement data cleaning, standardization, and normalization processes to ensure high data quality. Implement best practices for data governance, security, and compliance . Optimize data storage and retrieval for performance and cost-efficiency. Monitor and troubleshoot data pipelines, ensuring minimal downtime. Work closely with data scientists, analysts, and business stakeholders to define data needs. Maintain thorough documentation for data pipelines, transformations, and integrations. Assist in developing ML-ready datasets by ensuring consistency across integrated data sources. Required Skills & Qualifications: 3+ years of experience in data engineering, with a focus on Azure cloud technologies . Expertise in Azure Databricks, Data Factory, Data Lake Strong proficiency in Python, SQL, and PySpark for data processing and transformations. Understanding of ML data preparation workflows , including feature engineering and data normalization. Knowledge of data security and governance principles . Experience in optimizing ETL pipelines for scalability and performance. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Preferred Qualifications: Azure Certifications Azure Data Engineer Associate, Azure Solutions Architect . Why Join Us? Work on cutting-edge Azure cloud and data technologies . Collaborate with a dynamic and innovative team solving complex data challenges. Competitive compensation and career growth opportunities. Application Process: Interested candidates can send their resumes to [email protected] with the subject line: Application for Azure Data Engineer We look forward to welcoming passionate individuals to our team!

Job_Description":" Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams. ","

Bahwan Cybertek Group is seeking a skilled T24 Data Migration Lead who will be responsible for planning and executing data migration strategies for T24 core banking solutions. This role involves managing the entire data migration process, ensuring data integrity, high quality, and consistency throughout the migration lifecycle. Key Responsibilities Lead the data migration efforts for T24 implementations, including the extraction, transformation, and loading (ETL) of data. Develop and implement data migration strategies, including mapping source data to target structures, and ensuring compliance with data governance standards. Collaborate with cross-functional teams, including business analysts, developers, and stakeholders to understand data requirements and oversee data quality assurance. Perform data analysis, profiling, and cleansing activities to ensure high-quality data migration outcomes. Document data migration processes, including ETL procedures, mapping documents, and reports. Provide training and support to team members on best practices in data migration. Ensure smooth transition and support post-migration reviews and audits. Bachelor s degree in Computer Science, Information Systems, or a related field. 5+ years of experience in data migration projects, specifically related to T24 core banking systems. Strong expertise in ETL tools and data mig

We are looking for a Senior Data Lead to lead enterprise-level data modernization and innovation. In this highly strategic role, you will design scalable, secure, and future-ready data architectures, modernize legacy systems, and provide trusted technical leadership across both technology and business teams. This is a unique opportunity to make a company-wide impact by influencing data strategy and enabling smarter, faster decision-making through data. Key Responsibilities Architect & Design: Lead the development of robust, scalable data models, data management systems, and integration frameworks to ensure enterprise-wide data accuracy, consistency, and security. Domain Expertise: Act as a subject matter expert across key business functions such as Supply Chain, Product Engineering, Sales & Marketing, Manufacturing, Finance, and Legal. Modernization Leadership: Drive the transformation of legacy systems and manage end-to-end cloud migrations with minimal business disruption. Collaboration: Partner with data engineers, scientists, analysts, and IT leaders to build high-performance, scalable data pipelines and transformation solutions. Governance & Compliance: Establish and maintain data governance frameworks including metadata repositories, data dictionaries, and data lineage documentation. Strategic Advisory: Provide guidance on data architecture best practices, technology selection, and roadmap alignment to senior leadership and cross-functional teams. Mentorship: Serve as a mentor and thought leader to junior data professionals, fostering a culture of innovation, knowledge sharing, and technical excellence. Innovation & Trends: Stay abreast of emerging technologies in cloud, data platforms, and AI/ML to identify and implement innovative solutions. Communication: Translate complex technical concepts into clear, actionable insights for technical and non-technical audiences alike. Required Qualifications 10+ years of experience in data architecture, engineering, or enterprise data management roles. Demonstrated success leading large-scale data initiatives in life sciences or other highly regulated industries. Deep expertise in modern data architecture paradigms such as Data Lakehouse, Data Mesh, or Data Fabric. Strong hands-on experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Proficiency in data modeling, ETL/ELT frameworks, and enterprise integration patterns. Deep understanding of data governance, metadata management, master data management (MDM), and data quality practices. Experience with tools and platforms including but not limited to: Data Integration: Informatica, Talend Data Governance: Collibra Modeling/Transformation: dbt Cloud Platforms: Snowflake, Databricks Excellent problem-solving skills with the ability to translate business requirements into scalable data solutions. Exceptional communication skills and experience engaging with both executive stakeholders and engineering teams. Preferred Qualifications (Nice to Have) Experience with AI/ML data pipelines or real-time streaming architectures. Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer). Familiarity with regulatory frameworks such as GxP, HIPAA, or GDPR.

About the Opportunity Job TypeFixed Term ContractorContract duration 11 months.Application 21 June 2025 Title Performance Operations Senior Analyst Department Performance Analytics Team Location Gurgaon, India Reports To Senior Manager, Performance Operations Level Senior Analyst Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Performance Operations team and feel like youre part of something bigger. About your team The Performance Analytics group provides performance information and portfolio analysis for Fidelity International Limited (FIL) globally. The group consists of three closely collaborating teams that work together to deliver analysis on Fidelity products and mandates to both internal and external clients: The Performance Attribution & Risk Reporting teams provide attribution and risk analytics, including quarterly fund reports, investment risk oversight packs, liquidity reporting, and support for our investment teams. The Performance Operations & Oversight team is responsible for ensuring data quality, managing systems, overseeing GIPS and regulatory performance and risk, and delivering key metrics to senior management. The Performance Measurement team supplies performance data and ex-post analysis to all our clients. About your role Senior Analyst working with the wider team, will assist in the delivery of Performance Operations. They will be responsible for data uploading, data cleansing and validation of the results using various performance calculation systems. The team provides data for use in external publications, report and accounts, as well as producing a wide variety of analysis and internal management reports. Principle duties: Setup and maintain FIL and FIJ fund and benchmark data within the performance systems. Implement a data governance model and implement stringent data controls on source data and calculated analytics. Responsible for the reconciliation of advisory mandates to client real portfolios on request by the client. Validation of results and production of reports. Supporting the technology roll out of performance systems ensuring advisory business requirements are met. Assisting colleagues where required Your skills and experience Numerically/analytically minded. Understanding of performance measurement and analysis techniques such as return calculation methodologies is preferred. Excel, Access, VBA, Python and SQL knowledge is desirable but not a requirement as this will be thought. Project management experience is a plus. Self-motivated and responsive to a changing environment. Enthusiasm and a desire to learn new skills and continue self-development. Accuracy and attention to detail. Ability to work to tight deadlines. Team contributor. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com . Or, if youre feeling inspired, start your journey with us right now.

Total Number of Openings 1 About the position: The Facilities Engineering Information Management Engineer is part of the Technical Services Team within the Chevron ENGINE Center and supports the process, guidelines, and best practices for managing enterprise facilities information. This role involves ensuring data integrity, security, and compliance with engineering functional IM requirements, as well as supporting the development and maintenance of engineering information systems. Key responsibilities: 1. Functional Data Governance: Establish and support the delivery of data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements. 2. Information Systems Management: Support the development, implementation, and maintenance of engineering information systems, ensuring they meet the organization's needs and support business objectives. 3. Collaboration: Work closely with various departments, including IT, digital engineering, and business units, to understand their information needs and provide guidance about solutions. 4. Training and Support: Provide training and support to staff on information management best practices and the use of information systems. 5. Continuous Improvement: Identify opportunities for improving facilities information management processes and systems, and implement changes to enhance efficiency and effectiveness. Required Qualifications: Bachelor s degree in a related engineering discipline (mechanical, chemical, etc.) (B.E./B.Tech.) from a deemed/recognized (AICTE) university Prior capital projects on the engineering management and or information management teams. Preferred Qualifications: Data engineering or data science certification Experience with data management tools and software. 5+ years of Information Management experience, knowledgeable with several Engineering IM systems and is able to provide guidance to users of these systems, including training, sharing best practices and driving adoption of IM practices. Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm. Chevron participates in E-Verify in certain locations as required by law.

Overview Driving DQ agenda within PGT deployment Define KPIs and Metrics in alignment with global Governance Lead Data migration planning, Execution & Communication E2E delivery of MDG workflow functionalities Integration with Global MDG team to adopt PGT design Lead the End user training and change management Responsibilities Drive continuous improvement of data governance and data maintenance processes for implementing countries/entities Create & Align data standards for master, supplemental and transactional data objects drive adoption of data standards and design principle to drive data consistency and bring efficiency to migration process Governance to Ensure data standards and key decisions are properly documented (i.e. KDDs, DDs, Metadata, DQ Rules, CRDs) build the capability with Pepsico to drive cost efficient delivery model by reducing the delivery work for external partner Excellent oral and written skills to provide clear documentation to project teams, the management and executive leadership, and across multiple geographies Qualifications Bachelors degree required 10+ years of experience with data / conversions / interfaces Demonstrated ability to effectively communicate with all levels of the organization Ability to work flexible hours based on varying business requirements Solves highly complex problems within their work team Ability to quickly adapt to changes in timelines and sequences Adaptability and flexibility including ability to manage deadline pressure, ambiguity and change Data-driven mindset, leveraging a structured analytical approach, and comfortable with manipulating and profiling large volumes of data (demonstrated by skills in SQL, Excel, Access) and data management responsibilities (such as leveraging WinShuttle, MDM/MDG, workflow)

Data Quality Lead by Domain Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Develop and implement data quality frameworks. Design and enforce standards for data quality and governance to ensure consistent, accurate, and reliable data. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. data quality best practices and tools for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains. Collaborate with stakeholders and work closely with data stewards, analysts, IT, and business units to understand data requirements and address quality concerns. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are being met. Lead data quality initiatives aimed at improving data quality, including data cleansing, enrichment, and validation processes. Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.). In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions. Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) 3-5 years of experience in data quality management, data governance, or related roles. Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Job Title : Data Engineer / Data Modeler. Location : Remote (India). Employment Type : Contract (Remote). Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Commercialization domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Commercialization domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Supply Chain domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Supply Chain domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

We are seeking an MDM Associate Data Engineer with 2-- 5 years of experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment. To succeed in this role, the candidate must have strong data engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark , Databricks, AWS etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Analyze and manage customer master data using Reltio or Informatica MDM solutions. Perform advanced SQL queries and data analysis to validate and ensure master data integrity. Leverage Python, PySpark , and Databricks for scalable data processing and automation. Collaborate with business and data engineering teams for continuous improvement in MDM solutions. Implement data stewardship processes and workflows, including approval and DCR mechanisms. Utilize AWS cloud services for data storage and compute processes related to MDM. Contribute to metadata and data modeling activities. Track and manage data issues using tools such as JIRA and document processes in Confluence. Apply Life Sciences/Pharma industry context to ensure data standards and compliance. Basic Qualifications and Experience: Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced SQL expertise and data wrangling. Strong experience in Python and PySpark for data transformation workflows. Strong experience with Databricks and AWS architecture. Must have knowledge of MDM, data governance, stewardship, and profiling practices. In addition to above, candidates having experience with Informatica or Reltio MDM platforms will be preferred. Good-to-Have Skills: Experience with IDQ, data modeling and approval workflow/DCR. Background in Life Sciences/Pharma industries. Familiarity with project tools like JIRA and Confluence. Strong grip on data engineering concepts. Professional Certifications : Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL, Python, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Job Title - S&C Global Network - AI - CDP - Marketing Analytics - Analyst Management Level: 11-Analyst Location: Bengaluru, BDC7C Must-have skills: Data Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role A Consultant/Manager for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers. Key Duties and Responsibilities: Be a platform expert in one or more leading CDP solutions. Developer level expertise on Lytics, Segment, Adobe Experience Platform, Amperity, Tealium, Treasure Data etc. Including custom build CDPs Deep developer level expertise for real time even tracking for web analytics e.g., Google Tag Manager, Adobe Launch etc. Provide deep domain expertise in our clients business and broad knowledge of digital marketing together with a Marketing Strategist industry Deep expert level knowledge of GA360/GA4, Adobe Analytics, Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Assess and audit the current state of a clients marketing technology stack (MarTech) including data infrastructure, ad platforms and data security policies together with a solutions architect. Conduct stakeholder interviews and gather business requirements Translate business requirements into BRDs, CDP customer analytics use cases, structure technical solution Prioritize CDP use cases together with the client. Create a strategic CDP roadmap focused on data driven marketing activation. Work with the Solution Architect to strategize, architect, and document a scalable CDP implementation, tailored to the clients needs. Provide hands-on support and platform training for our clients. Data processing, data engineer and data schema/models expertise for CDPs to work on data models, unification logic etc. Work with Business Analysts, Data Architects, Technical Architects, DBAs to achieve project objectives - delivery dates, quality objectives etc. Business intelligence expertise for insights, actionable recommendations. Project management expertise for sprint planning Professional & Technical Skills: - Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment. Strong understanding of data governance and compliance (i.e. PII, PHI, GDPR, CCPA) Experience with analytics tools like Google Analytics or Adobe Analytics is a plus. Experience with A/B testing tools is a plus. Must have programming experience in PySpark, Python, Shell Scripts. RDBMS, TSQL, NoSQL experience is must. Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis. Experience in deployment and operationalizing the code is an added advantage. Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools. Proficient in Excel, MS word, PowerPoint, etc Technical Skills: Any CDP platforms experience e.g., Lytics CDP platform developer, or/and Segment CDP platform developer, or/and Adobe Experience Platform (Real time CDP) developer, or/and Custom CDP developer on any cloud GA4/GA360, or/and Adobe Analytics Google Tag Manager, and/or Adobe Launch, and/or any Tag Manager Tool Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Deep Cloud experiecne (GCP, AWS, Azure) Advance level Python, SQL, Shell Scripting experience Data Migration, DevOps, MLOps, Terraform Script programmer Soft Skills: Strong problem solving skills Good team player Attention to details Good communication skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. Qualification Experience: 3-5Years Educational Qualification: Any Degree

Practice Overview: Skill/Operating Group Technology Consulting Level Consultant Location Gurgaon / Mumbai / Bangalore / Kolkata / Pune Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Architect large scale data lake, DW, and Delta Lake on cloud solutions using AWS, Azure, GCP, Ali Cloud, Snowflake, Hadoop, or Cloudera Design Data Mesh Strategy and Architecture Build strategy and roadmap for data migration to cloud Establish Data Governance Strategy & Operating Model Implementing programs/interventions that prepare the organization for implementation of new business processes Deep understanding of Data and Analytics platforms, data integration w/ cloud Provide thought leadership to the downstream teams for developing offerings and assets Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Driving enterprise business, application, and integration architecture Helping solve key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 6-10 years of large-scale consulting experience and/or working with hi tech companies in data architecture, data governance, data mesh, data security and management. Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics Experience: We are looking for experienced professionals with Data strategy, data architecture, data on cloud, data modernization, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space:AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Data Cleansing & Integration Project Delivery: Execute high visibility data programs as assigned by the Data Cleansing Manager. Utilize SAP data load solutions such as SAP Migration Cockpit and LSMW for data loading and template creation. FDO Data Change Management Methodology: Assist in defining data cleansing approaches using Mass Change functionality. Develop and prepare data cleansing strategies. Data Cleansing & Integration Technical Guidance: Understand SAP landscape and data flow to underlying/consumed systems to prevent data synchronization issues. Data Quality: Collaborate with the Data Quality (DQ) team to define DQ rules and enhance visibility of existing data quality. Data Governance: Work with the Data Governance (DG) team to ensure proper governance before implementing system changes. Conduct necessary data load testing in test systems. Data Sourcing: Maintain and update the data catalogue/data dictionary, creating a defined list of data sources indicating the best versions (golden copies). Data Ingestion: Collaborate with DG and project teams on data harmonization by integrating data from multiple sources. Develop sustainable integration routines and methods. Qualifications: Experience: Minimum of 6 years in data-related disciplines such as data management, quality, and cleansing. Technical Skills: Proven experience in delivering data initiatives (cleansing, integration, migrations) using established technical data change methodologies. Proficiency in handling large data sets with tools like Microsoft Excel and Power BI. Experience with SAP native migration and cleansing tools such as SAP Migration Cockpit, LSMW, and MASS. Knowledge of Master Data Management in SAP MDG, SAP ECC, and associated data structures. Collaboration: Ability to work effectively with internal cross-functional teams.