35 Data Discovery Jobs

Role Overview: ZS is seeking a motivated and detail-oriented Information Protection Analyst to join the Data Governance team. In this role, you will be responsible for supporting the implementation and ongoing management of the data governance framework. Your primary focus will be on operationalizing governance policies, maintaining data quality, supporting data classification and discovery efforts, and ensuring that data is well-managed, secure, and compliant. As a Data Governance Analyst, you will play a crucial role in data stewardship, monitoring governance processes, and assisting with tool administration to promote trusted and governed data across the organization. Key Responsibilities: - Support the implementation and enforcement of data governance policies, standards, and procedures. - Assist in data discovery, classification, and cataloging efforts using data governance and DSPM tools. - Monitor and report on data quality metrics, compliance adherence, and data stewardship activities. - Maintain and update data inventories, metadata repositories, and lineage documentation. - Collaborate with data owners, stewards, and IT teams to address data governance issues and remediation. - Participate in data risk assessments, control testing, and regulatory compliance audits. - Manage governance tool configurations, user access, and workflow automation. - Provide training and support to data steward teams and end-users on governance principles and tool usage. - Prepare regular data governance status reports and dashboards for leadership. Qualifications Required: - Bachelor's degree in Data Management, Computer Science, Information Systems, Business, or related field. - 2+ years of experience in data governance, data quality, data management, or related operational roles. - Familiarity with data governance frameworks, data cataloging, or metadata management concepts. - Hands-on experience with data governance, catalog, or data quality tools (e.g., Collibra, Informatica, Alation, Talend, BigID). - Understanding of data privacy regulations (such as GDPR, CCPA, HIPAA) and data security basics. - Strong analytical skills with attention to detail and problem-solving capabilities. - Excellent communication skills with the ability to work collaboratively across teams. - Familiarity with cloud platforms (AWS, Azure, GCP) and data architecture is a plus. Additional Company Details: ZS offers a comprehensive total rewards package that includes health and well-being, financial planning, annual leave, personal growth, and professional development. The company's skills development programs, career progression options, internal mobility paths, and collaborative culture empower individuals to thrive within the organization and as part of a global team. ZS promotes a flexible and connected way of working, allowing employees to combine work from home and on-site presence at clients/ZS offices for the majority of the week. The company values face-to-face connections for fostering innovation and maintaining its culture. If you are eager to grow, contribute, and bring your unique self to the work environment at ZS, they encourage you to apply. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.,

Role Overview: You will be part of the DQM team within the Analytics Information management (AIM) group at Citi, responsible for implementing data quality measurement programs in the retail consumer bank globally. Your role will involve supporting critical areas such as regulatory compliance, metrics design, data governance, DQ scorecards, issue management, and audit support. Key Responsibilities: - Execute business data quality measurements in alignment with regulatory programs like CCAR, AML, etc. - Design data quality metrics, including identifying critical data elements, designing data quality rules, testing and validating rules. - Standardize data definitions and ensure consistency in measurement across systems, products, and regions. - Publish monthly/quarterly scorecards at the country level and prepare executive summary reports for senior management. - Identify defects, investigate root causes for issues, and follow up with stakeholders for resolution within SLAs. - Support audits by identifying control gaps, policy breaches, and providing data evidence for completion. Qualifications Required: - Possess analytical skills with the ability to conduct data analysis and visualization. - Proficient in formulating analytical methodology, identifying trends, and patterns in data to generate actionable business insights. - Preferred expertise in tools and platforms such as SAS, SQL, MS Excel, PowerPoint, and VBA. - Have a good understanding of data definitions, data discovery, data quality framework, and data governance. - Hands-on experience in KPIs design, issue resolution, process improvement, and data quality initiatives. - Knowledge of finance regulations and understanding of retail business is a plus. - Demonstrate soft skills including problem-solving, communication, interpersonal skills, process/project management, and ability to work well across functional areas in a dynamic environment. Company Details: The Analytics Information management (AIM) group at Citi is a rapidly growing global community dedicated to driving data-driven transformation across the organization. AIM collaborates with Citi businesses and functions worldwide to create actionable intelligence for business leaders.,

Role Overview: You will be part of the DQM team at AIM, a global community focused on driving data-driven transformation across Citi. As a member of the team, you will play a crucial role in managing the implementation of data quality measurement programs for the US region's retail consumer bank. Key Responsibilities: - Execute business data quality measurements in alignment with regulatory programs such as CCAR and AML - Design data quality rules, test and validate them, and identify critical data elements in various systems - Standardize data definitions and ensure consistency in measurements across different systems, products, and regions - Publish monthly/quarterly scorecards at the product level and prepare executive summary reports for senior management - Identify defects, investigate root causes for issues, and follow up with stakeholders for resolution within SLAs - Assist in audit processes by identifying control gaps, policy breaches, and providing data evidence for audit completion Qualifications Required: - Strong analytical skills with the ability to analyze and visualize data, formulate analytical methodologies, and identify trends and patterns for generating actionable business insights - Proficiency in tools like SAS or SQL, and MS Excel is preferred - Good understanding of data definitions, data discovery, data quality framework, data governance, and data warehouse knowledge - Soft skills including the ability to solve complex business problems, excellent communication and interpersonal skills, good process management skills, and the ability to work effectively in teams - Educational background in MBA, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute; BTech/B.E in Information Technology, Information Systems, or Computer Applications - Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred - 1 to 2 years of hands-on experience in delivering data quality solutions Additional Company Details: No additional company details were provided in the job description.,

Role Overview: You will be a part of the DQM team at AIM, a global community within Citi, focused on driving data-driven transformation by implementing data quality measurement programs for the US region's retail consumer bank. As a member of the team, you will play a crucial role in supporting various areas such as regulatory compliance, data governance, issue management, and audit support. Key Responsibilities: - Execute business data quality measurements in alignment with regulatory programs like CCAR and AML - Design data quality rules, test and validate them, and ensure consistency in measurement across systems, products, and regions - Publish monthly/quarterly scorecards at the product level and prepare executive summary reports for senior management - Identify defects, investigate root causes for issues, and follow up with stakeholders for timely resolution - Provide data evidence for audit completion by identifying control gaps and policy breaches Qualifications Required: - Possess analytical skills with the ability to analyze and visualize data, formulate analytical methodology, identify trends and patterns, and generate actionable business insights - Proficiency in tools such as SAS, SQL, MS Excel, and PowerPoint - Good understanding of data definitions, data discovery, data quality framework, data governance, and data warehouse knowledge - Preferably knowledgeable in finance regulations and understanding of retail business - Demonstrate soft skills including the ability to solve complex business problems, excellent communication and interpersonal skills, good process management skills, and the ability to work effectively in teams - Educational background in MBA, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute, or BTech/B.E in Information Technology, Information Systems, or Computer Applications - Preferably a post-graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields - 2 to 5 years of hands-on experience in delivering data quality solutions, with at least 1 year experience in the Banking Industry (Note: The additional details of the company were not provided in the job description),

Role Overview: You will be part of the SIS DQM-NAM DQ team within the Analytics Information Management (AIM) global community at Citi, where the focus is on driving data-driven transformation across the organization. As a team member, you will play a crucial role in implementing best-in-class data quality measurement programs in the retail consumer bank sector. Key Responsibilities: - Execute business data quality measurements in alignment with regulatory programs such as CCAR, AML, etc. - Design metrics by identifying critical data elements in various systems, formulating data quality rules, and testing and validating these rules. - Standardize data definitions and ensure consistency in measurement across systems, products, and regions for effective data governance. - Publish monthly/quarterly scorecards at the country level and prepare executive summary reports for senior management based on DQ scorecards. - Identify defects, investigate root causes for different issues, and follow up with stakeholders for timely resolution as per SLA. - Provide support in identifying control gaps, policy breaches, and offer data evidence for audit completion. Qualifications Required: - Possess analytical skills with expertise in data analysis and visualization to generate actionable business insights. - Proficiency in formulating analytical methodology, identifying trends and patterns in data. - Preferably skilled in tools like SAS, SQL, MS Excel, PowerPoint, and VBA. - Good understanding of data definitions, data discovery, data quality framework, and data governance. - Hands-on experience in KPIs design, issue resolution, and process improvement related to compliance and data quality initiatives. - Knowledge of finance regulations and understanding of retail business is a plus. - Excellent communication and interpersonal skills, along with good process/project management abilities. - Ability to work effectively across multiple functional areas and thrive in a dynamic, fast-paced environment. Additional Company Details: The Analytics Information Management (AIM) team at Citi is a fast-growing organization that collaborates with Citi businesses and functions globally to drive data-driven transformation and create actionable intelligence for business leaders.,

As an experienced data professional with at least 3 years in relevant advisory roles, you are expected to have expertise in data disciplines such as Data Warehouse strategy definition, Data Governance solution design implementation, Data security solution design implementation, BI Analytics Assessment Solution Architecture, and Roadmap Creation. Your direct customer interfacing experience in data management, data analysis, data governance, enterprise information management, data modeling, and data quality management will be crucial. Your key responsibilities will include independently working with business stakeholders to evaluate data privacy security requirements, collaborating with business and data stakeholders to understand business requirements, leading the team to deliver artifacts as per project requirements, acting as a functional point of contact between development and client business teams, and designing and implementing data privacy security programs for clients. Additionally, you will be involved in tool evaluation exercises, assisting clients in privacy-related activities, participating in process documentation efforts, and developing strategic business solutions. In terms of technical requirements, you should have strong skills in Data Privacy, Database, and PL SQL. Desirable skills include Technology Consulting and Data Governance. Your additional responsibilities may involve developing value-creating strategies, having knowledge of software configuration management systems, staying updated on industry trends, demonstrating logical thinking and problem-solving skills, understanding financial processes and pricing models, suggesting technology solutions for process improvement, possessing client interfacing skills, and showcasing project and team management abilities. Preferred skills include foundational knowledge in Data privacy and Privacy by design.,

The Data Protection Apprentice position at Tsaaro Consulting's Career Change Program is a unique opportunity for individuals from any academic or professional background who aspire to pursue a career in Data Privacy or Cybersecurity. This Intern-to-Hire initiative offers a 36-month program designed to equip participants with the necessary skills and knowledge to excel in the field of privacy and information security. As a part of the Career Change Program, you will receive hands-on training, mentorship, and practical exposure to key privacy laws such as GDPR, CCPA, and India's DPDP Act. You will have the chance to collaborate on live client projects alongside experienced consultants, learn to develop privacy programs, conduct risk assessments, and enhance your consulting and compliance skills. To be successful in this role, you should demonstrate a willingness to learn, a keen interest in privacy, security, and ethical practices in technology, and possess clear communication skills with attention to detail. A Bachelors degree in any field is required, along with basic proficiency in MS Office applications. Professionals with 1-3 years of post-qualification experience from diverse backgrounds, including non-tech, legal, marketing, HR, or operations, are encouraged to apply. This program also welcomes career returnees or individuals seeking a second career in the intersection of technology and law. As a Data Protection Apprentice, you will support various activities such as drafting privacy policies, conducting Gap Assessments, Data Protection Impact Assessments (DPIAs), compliance audits, and collaborating with internal teams to implement privacy best practices. Additionally, you will have the opportunity to track regulatory developments, prepare documentation, and presentations, while using basic tools for data discovery, risk analysis, and policy review. Joining Tsaaro Consulting's Career Change Program offers numerous benefits, including career growth in a rapidly evolving sector, paid internship with a potential for full-time conversion based on performance, support for certifications, exposure to industry tools, mentorship from certified privacy experts, real client engagement, and a flexible remote-friendly work environment. The team at Tsaaro Consulting has designed this program for individuals with ambition, curiosity, and commitment rather than solely traditional qualifications. If you are eager to reinvent your career and make a meaningful impact in the realms of privacy and cybersecurity, we invite you to apply and embark on your journey into the World of Privacy & Security with Tsaaro Consulting.,

As a TDM Senior Engineer, you will be responsible for delivering test data management solutions with a focus on enhanced data provisioning capabilities, data integration, and devising efficient TDM processes. Your role will involve working closely with various stakeholders such as Test Managers, Infrastructure, Release Managers, DBAs, Risk & Security teams, and Application owners to capture and review test data requirements and develop effective test data provisioning techniques and plans. Your key responsibilities will include data modeling, analyses, and data discovery, as well as identifying business rules and defining process frameworks. It is essential to have extensive knowledge of databases, data warehouses, business processes, and related data flows and systems integrations. To be successful in this role, you should have at least 8 years of information technology experience working with large and complex applications. Additionally, you should possess a minimum of 5 years of experience in designing, installing, configuring, and deploying TDM services in large enterprises. Hands-on experience in TDM development and delivering solutions using Broadcom TDM will be crucial for this position. Strong interpersonal skills and excellent verbal communication are essential for effective collaboration with team members and stakeholders. Furthermore, you should have expertise in data analysis and the ability to write complex SQL statements, including XML/JSON parsing. If you are passionate about test data management and possess the required skills and experience, we invite you to join our team as a TDM Senior Engineer and contribute to the success of our projects.,

If you are seeking further opportunities to advance your career, you can take the next step in realizing your potential by joining HSBC. HSBC is a global banking and financial services organization operating in 62 countries and territories. The organization's goal is to be present where growth occurs, supporting businesses to thrive, economies to prosper, and individuals to achieve their aspirations. Currently, HSBC is looking for an experienced professional to join the team in the position of Data Technology Lead, focusing on Data Privacy. The role is open in Pune or Hyderabad. As a Data Technology Lead, you will be responsible for driving the strategy, engineering, and governance of Data Privacy technology within the CTO Data Technology function. Your role is crucial in ensuring the bank's compliance with complex global data privacy regulations and commitments to customer trust through scalable, automated, and resilient technology solutions. Your main responsibilities will include designing and executing enterprise-wide capabilities for classifying, protecting, governing, and monitoring personal and sensitive data throughout its lifecycle, from data discovery to secure deletion. This will involve integrating solutions across data platforms, operational systems, and third-party systems. You will lead cross-functional teams and collaborate closely with Group Privacy, Legal, Risk, Cybersecurity, and business-aligned CTOs to implement privacy-by-design practices across platforms and establish robust data protection standards. This leadership role is highly impactful, requiring expertise in privacy technologies, platform engineering, control automation, and global compliance. Key Responsibilities: - Define and lead the enterprise strategy for Data Privacy Technology across different data environments. - Design and implement technology capabilities to support privacy compliance frameworks such as GDPR. - Lead the development and integration of solutions for data classification, consent management, access controls, data subject rights fulfillment, data retention, and disposal. - Govern and oversee the privacy tooling landscape, ensuring robust metadata management and control enforcement. - Collaborate with Group CPO, Legal, and Compliance to translate regulatory mandates into implementable technology solutions. - Embed privacy-by-design principles into data pipelines, software development lifecycles, and DevSecOps practices. - Drive enterprise-wide adoption and monitor privacy controls" effectiveness using metrics, dashboards, and automated audits. - Lead engineering teams to deliver scalable services with resilience, performance, and observability. - Participate in regulatory engagements, internal audits, and risk forums related to data privacy controls. - Cultivate a high-performing team culture and advocate for privacy as a core design principle. Requirements: - 15+ years of relevant experience in enterprise data or technology roles, including senior leadership in data privacy, security, or compliance engineering. - Deep expertise in data privacy technologies, both product-based and in-house development. - Strong knowledge of global privacy regulations and frameworks, such as GDPR. - Technical proficiency in data discovery, classification, masking, encryption, and access control enforcement. - Understanding of metadata-driven architectures and control automation. - Experience in hybrid data estates, including data lakes and multi-cloud environments. - Proven track record of partnering with legal, compliance, and cybersecurity teams to implement privacy programs aligned with business needs. - Ability to lead multi-regional engineering teams, make architectural decisions, and deliver at scale. - Experience with platform monitoring, policy enforcement, and control assurance frameworks. Join HSBC to achieve more in your career. For more information and to explore opportunities, visit www.hsbc.com/careers. Please note that personal data provided by applicants will be handled in accordance with the Bank's Privacy Statement available on the website.,

Data Dynamics is a global leader in enterprise data management, focusing on Digital Trust and Data Democracy. Trusted by over 300 organizations, including 25% of the Fortune 20, Data Dynamics is committed to creating a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software revolutionizes traditional data management by empowering data creators of all skill levels to have ownership and control over their data. As a Storage Solutions Architect at Data Dynamics, you will play a crucial role in technical pre-sales and customer management for our data management software solution. Your responsibilities will include gathering business and technical requirements from customers, coordinating technical information, providing demonstrations, and showcasing the product's capabilities. Your role will involve researching customers" specific requirements and ensuring supportability. You will be expected to assess customers" business needs and translate them into technical and licensing requirements. In the case of a Proof of Concept (POC) or sale, you will collaborate with the sales representative to review the work. For existing customers targeted for upsell or cross-sell, you will work closely with the customer success manager and the global support team as needed. Additionally, you will facilitate a smooth transition to the implementation team for seamless customer experience. Your role will also involve setting up and conducting demonstrations and POCs independently. You will define success criteria with customers and sales representatives, track goal achievement during the POC process, and seek approval from customers post-POC. Following a sale, you may be required to assist or lead the installation based on time zones and resource availability. Given your daily interactions with customers, you are expected to advocate for them by providing feedback to relevant teams within Data Dynamics. Your input on business processes, technical issues, and enhancements is vital for driving continuous improvements and ensuring customer success and satisfaction. Other duties may include script writing, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or company meetings may be necessary. At Data Dynamics, we value creating exceptional customer experiences and foster a collaborative, challenging, fun, and innovative work environment. If you are customer-centric, passionate about building scalable data-driven software, and meet the qualifications outlined below, we would like to hear from you. Qualifications: - Proficiency with Windows and Linux, Docker, and Kubernetes - Knowledge of File/NAS and Object Storage, SQL, Postgresql, Elasticsearch - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword search, Regex, Data Governance (GDPR, HIPAA, CCPA) - Experience with Microservices-based applications, ITILv4, Project Management, Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team environment - Background in data management or related field is a plus - Bachelor's degree in Computer Science, Engineering, or related field,

As an AVP, Data Protection Engineer at Synchrony, you will play a critical role in driving the enterprise-wide data discovery program to ensure the safeguarding and security of the organization's data. Your responsibilities will involve managing a team within the Information Security organization, collaborating with cyber security teams and key business stakeholders to define data discovery strategies and roadmaps, and influencing teams to deliver top-notch data protection services. You will be instrumental in developing and implementing data discovery classifiers to mitigate the risk of data exfiltration effectively. Accountability lies in designing and building data discovery classifiers that effectively protect and secure the organization's data. Leading and overseeing a team of contractors supporting data discovery efforts, you will work closely with the Data Protection product owner to define the intent, roadmap, and strategy for the execution and delivery of the data protection and data discovery roadmap. Acting as a subject matter expert, your expertise will be pivotal in addressing data protection challenges efficiently. As a skilled data protection expert, you will serve as a trusted advisor and central point of contact for IT and business stakeholders. You will contribute to the development of standards, best practices, and guidelines for the organization's policies, standards, and procedures, ensuring that cyber security capabilities are aligned with industry best practices, compliance, and regulatory requirements such as PCI-DSS, HIPAA, etc. Desirable skills include a deep understanding of business needs, a commitment to delivering high-quality and efficient service, strong decision-making capabilities, and the ability to work effectively with diverse stakeholders. Eligibility criteria include a Bachelor's degree with a minimum of 5 years of experience in Information Security, Engineering, Application Development, or a related field. Alternatively, a High School Diploma/GED with a minimum of 6 years of equivalent work experience is also acceptable. A minimum of 2 years of experience in data discovery is required for this role. This position offers Enhanced Flexibility and Choice, requiring availability between 06:00 AM Eastern Time to 11:30 AM Eastern Time, with flexible remaining hours for the employee to choose. Internal applicants should ensure they meet the eligibility criteria, update their professional profiles, and discuss with their manager and HRM before applying. Level/Grade for this role is 10 in the Information Technology job family group at Synchrony.,

You are an experienced SAP Costing, Planning, and Finance Functional Consultant with a strong skill set in SAC reporting. With over 8 years of full-time experience in SAP technologies, you have primarily focused on Finance, Costing, and Planning areas. Your expertise lies in developing SAC reports, especially in the costing and finance domains. Your Business Process and Functional knowledge is robust, particularly in Costing & Finance. You possess a deep understanding of Inventory subledger, Snapshot, standard cost, Production order, variance, Internal order, and Devaluation. Your proficiency includes product costing and financial reporting using SAC. In terms of Technical SAC Reporting, you are adept at working with different types of connections such as Live and Data Import. You have hands-on experience in creating various types of stories and reports, excelling in responsive and canvas layouts. Your skills extend to developing drill-down reports and integrating with S/4 both live and via data import. Additionally, you are comfortable with data discovery, geospatial charts, tables, and interactive dashboard design. Knowledge of Web Intelligence on SAP HANA Universe is considered a plus. Adhering to Development Standards and Processes, you prepare functional and technical designs following project standards. You develop applications ensuring compliance with specifications, prepare test cases, and thoroughly test the developed reports based on the Functional design document. Your expertise includes determining development effort estimates and preparing test data. Your Soft Skills and Analytical Skills are commendable, accompanied by strong interpersonal and communication skills. You exhibit enthusiasm, energy, and possess good awareness of the entire Software Development Life Cycle (SDLC) and related processes. You excel in visualizing and formulating process flow diagrams. You must be flexible to work in any shift between 7:30 AM to 4:30 PM or 1:30 PM to 10:30 PM (all hours in IST). Proficiency in the Japanese language and experience working with Japanese stakeholders is an added advantage.,

You will be part of the SIS DQM- Data Quality team within AIM, a global community at Citi driving data-driven transformation across multiple functions. As a fast-growing organization, we collaborate with Citi businesses worldwide to create actionable intelligence for our business leaders. The DQM team focuses on managing the implementation of top-notch data quality measurement programs for the US region's retail consumer bank. Key areas of support include: - Regulatory Support: Executing business data quality measurements in alignment with regulatory programs such as CCAR, AML, etc. - DQ Rules Design: Identifying critical data elements, designing data quality rules, and testing and validating these rules. - Data Governance: Standardizing data definitions and ensuring measurement consistency across systems, products, and regions. - DQ Scorecards: Publishing monthly/quarterly scorecards at the product level and preparing executive summary reports for senior management. - Issue Management: Identifying defects, investigating root causes for various issues, and following up with stakeholders for timely resolution. - Audit Support: Identifying cases of control gaps and policy breaches, providing data evidence for audit completion. We are seeking individuals with the following expertise: - Analytical Skills: Proficiency in data analysis and visualization, formulating analytical methodology, identifying trends and patterns, and generating actionable business insights. - Tools and Platforms (Preferred): Proficiency in SAS, SQL, MS Excel, and PowerPoint. - Domain Skills: Good understanding of data definitions, data discovery, data quality framework, data governance, and data warehouse knowledge. - Domain Skills (Preferred): Knowledge of finance regulations and understanding of retail business. - Soft Skills: Ability to identify, articulate, and solve complex business problems, excellent communication and interpersonal skills, good process management skills, and ability to work effectively in teams. Educational and Experience Requirements: - MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute OR BTech / B.E in Information Technology / Information Systems / Computer Applications. - Post Graduate in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields (Preferred). - 2 to 5 years of hands-on experience in delivering data quality solutions, with at least 1 year of experience in the banking industry. Join us in the Decision Management job family group and the Data/Information Management job family on a full-time basis. Your most relevant skills will include the aforementioned requirements, and for additional or complementary skills, please refer to the details provided above or contact the recruiter.,

I & I Consulting. A min of 12 to 15 years of experience in the following areas 1 - Establish Data Architecture Principles , council, operating Model, Retention Policy 2 - Prior experience in defining Data governance strategy, Data Discovery & Profiling Strategy, Data Quality Validation Strategies, Data Mapping Approach, Data Cleansing Approaches, Data Migration Automation Strategies, Data Security Strategy 3 - Experience with industry reference data model 4 - Define Data Quality (DQ) Scorecard with DQ thresholds, Plan for rehearsal runs 5 - Define data relationships, source to target mapping, auto recon reports, Meta data tagging & relationship mapping 6 - Document business rules, approach for anomaly detection and handling, Outlier definitions and correction 7 - Define speed to market strategy for migration with automation like ETL, replication, virtualization, and virtual data analyst 8 - Define Data consumption patterns Policies , role- based access controls, regulatory compliance requirements 9 - Experience in cloud native Data & Information Services in Cloud

Permanent opportunity with our product based client. Our client is a global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. Summary : Experienced Data Science & Analytics professional. Oversees research and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Job Description : - Supervises the design and support of enterprise-wide business intelligence applications and architecture. - Develops standards, policies and procedures for the form, structure and attributes of business intelligence tools and systems. - Defines and executes useful analyses to solve problems. Optimizes the performance of enterprise business intelligence tools by defining data to filter and index that add value to the user. - Creates testing methodologies and criteria. Supervises the development of data/information quality metrics. - Research new technologies and develops business cases to support their use. Minimum Requirements : - Requires advanced to expert knowledge obtained through advanced education, combined with experience - Substantial knowledge of organization, programs or systems to make enhancements within job area - University Degree or equivalent - A total of 12+ years experience OR - An advanced degree in a related field and a minimum of 5 years experience. Role & Responsibilities : - Partner with Product Managers to understand shared product vision and short & long-term roadmap. - Partner with Product Managers, Designers, and Solutions Architects to translate feature requirements, feature designs, and technical architecture into clear, testable, actionable user stories. - Work closely with data engineers, data scientists, and BI developers to ensure accurate implementation of analytics solutions. Data Analysis and Reporting : - Analyse large datasets to extract meaningful insights related to stainless steel production, sales, quality, supply chain, or other relevant areas. - Develop and maintain dashboards, reports, and data visualizations for management and stakeholders. - End to End Proficiency in BI Solution across Ingestion, Transformation, DWH, BI is a must - Ensure data accuracy, integrity, and consistency in all analytical work. SAP Data Understanding : Understand the Analytics needs to business in Demand and Fulfilment area, Finance. Working on Analytics platform to do data analysis using data in SAP ECC / HANA. Utilize your domain knowledge to understand end-to-end SAP Solutions & processes across Manufacturing, Order Management, Finance, cts and suggest improvements. - Data Analytics : Leverage your expertise in data analytics to collect, analyze, and interpret complex data sets related to supply chain operations. Develop insightful reports and presentations to communicate key findings and provide actionable recommendations to stakeholders. - Communicate trade-off decisions, e.g. choice between 2 methodologies to product & tech so the decision can be made on approach. - Ensure JIRA content is updated so that reporting from JIRA is accurate and representative of the current state of product development & feature delivery progress. - Drive the integration of data analytics solutions into business processes, ensuring scalability and reliability. Role Purpose : - A Technical Lead (TL) is a key player in product development, who oversees the technical aspects of the product and acts as a vital link between technical teams and business stakeholders. This role demands a unique blend of technical knowledge and product vision, to ensure that technical products align with business objectives and meet stringent technical requirements. TLs are responsible for translating business needs into technical solutions, guiding development teams, and prioritizing features that deliver high value Requirements : - Bachelor's degree in business, Computer Science, Data Science, or a related field A master's degree is a plus. - Overall experience of 12+ years with Proven leadership experience (8+ years) in data analytics, with a track record of effectively managing and developing high-performing teams. - Strong proficiency in data analysis tools and languages (Snowflake, SQL, SAP S4, HANA). - Proficiency in data visualization tools (Tableau, Power BI, etc.). - Proficiency in AWS Cloud, AWS Athena, Strong in DWH, ETL / ELT Techniques. - Strong domain knowledge of supply chain processes, including procurement, logistics, inventory management, and demand planning. - Hands-On Working Exposure wrt data analysis using data from SAP Analytics products SAP BW & HANA S4 - Able to deconstruct and understand the pipelines and flows across SAP BI platforms and SAP ETL Technologies - Produce Artefacts on the existing Solutions and Processes. - Exposure of Working on SAP systems wrt Oder Management, FI. - Strong communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical stakeholders. - Experience in working with cross-functional teams and managing stakeholder relationships. - Ability to adapt to a fast-paced and dynamic work environment. Benefits : - We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. - Have peace of mind and body with our health insurance - Make yourself a priority with flexible schedules and leave Policy - Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program. Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. Preferred candidate profile Ideal Candidate Profile for Tech Lead Role: Must possess end-to-end BI solution architecture(data discovery, data engineering, BI development & data analysis) experience . Should have hands-on exposure to data warehousing (ETL Extract, Transform, Load) processes. Candidate background should be from Data warehousing Architecture/Solution Architect in Analytical space and technical team leading expertise. Tool & Platform Expectations: BI (Power BI, Tableau etc), Snowflake and SQL proficiency are top priority . AWS(Glue, Athena) knowledge is important due to platform requirements. SAP HANA and S4 HANA are considered good to have skills.

As a Data Engineer specializing in Data Modeling and SAP Integration, you will play a crucial role in rebuilding the data architecture of a leading manufacturing and distribution company. This exciting opportunity involves integrating over 13 legacy ERP systems, including SAP, into a cloud-native lakehouse environment using Databricks. Your main responsibility will be to model ERP data effectively, design validated data layers for various business functions such as sales orders, invoices, inventory, and procurement, and structure them to enable downstream analytics and reporting. Working with a modern tech stack including Databricks, Python, SQL, GitHub, and CI/CD, you will collaborate closely with analysts, BI leads, and stakeholders to transform messy SAP data into governed, reusable data products. Your expertise in building bronze-silver-gold pipelines and ability to create usable models from complex SAP data will make a significant impact in this role. To excel in this position, you should have at least 5 years of experience in data engineering or analytics engineering roles, hands-on experience in modeling data from SAP or other ERP systems, and prior experience in building or supporting data marts for analytics and reporting. Exposure to business domains like supply chain, commercial, or finance, familiarity with cloud-native data environments (particularly Databricks), and knowledge of modern development workflows such as CI/CD, GitHub, and Agile practices are also desirable. Your skills and strengths should include expertise in SAP data modeling, understanding of ERP systems, proficiency in Python and SQL, experience with data marts, Databricks, source-to-target mapping, data validation, cloud data platforms, CI/CD pipelines, GitHub, data warehousing, data discovery, inventory and sales order modeling, business process comprehension, ad hoc analysis support, bronze/silver/gold layer design, Agile collaboration, Jira, and data pipeline troubleshooting. As part of your primary job responsibilities, you will be tasked with modeling and consolidating SAP and ERP data for analytical purposes, collaborating with analysts to define usable data products aligned with business needs, building and maintaining pipelines in Databricks with bronze/silver/gold layers, validating data outputs for accuracy against ERP systems, structuring data marts to support various business domains, contributing to architecture and standardization of enterprise datasets, documenting model logic for reproducibility, working with GitHub and CI/CD workflows for code management and releases, collaborating with teams in the US and India within an Agile environment, and supporting the transition from ad hoc data pulls to governed, scalable solutions.,

You will be a part of the SIS DQM- Data Quality team at AIM, a global community dedicated to driving data-driven transformation across Citi. As a team member, you will play a crucial role in implementing top-tier data quality measurement programs for the US region's retail consumer bank. Your responsibilities will include supporting regulatory compliance by executing business data quality measurements in alignment with programs like CCAR and AML. Additionally, you will be involved in designing data quality rules, conducting testing and validation, standardizing data definitions, and ensuring consistency in measurement across various systems, products, and regions. One of your key tasks will be to publish monthly/quarterly scorecards at the product level and prepare executive summary reports for senior management. You will also be responsible for identifying defects, investigating root causes for issues, and collaborating with stakeholders to resolve them within the defined service level agreements. Furthermore, your role will involve providing support for audits by identifying control gaps, policy breaches, and furnishing data evidence for audit completion. To excel in this role, you must possess strong analytical skills, including proficiency in data analysis, visualization, and formulating analytical methodologies to identify trends and patterns in data. It is essential to have the ability to generate actionable business insights. Familiarity with tools such as SAS, SQL, MS Excel, and PowerPoint will be advantageous. A solid understanding of data definitions, data discovery, data quality frameworks, data governance, and data warehouse knowledge is crucial. Knowledge of finance regulations and an understanding of the retail business domain are preferred. Apart from technical expertise, soft skills are equally important. You should be able to identify and solve complex business problems effectively, communicate clearly, and collaborate well with others. Strong process management skills and the ability to work effectively in teams are essential for success in this role. Ideally, you should hold a degree in MBA, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A post-graduate qualification in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred. You should have 2 to 5 years of hands-on experience in delivering data quality solutions, with at least 1 year of experience in the banking industry. This is a full-time position within the Decision Management job family group under the Data/Information Management job family at Citi. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please refer to the Accessibility at Citi guidelines. For more information on Citi's Equal Employment Opportunity policy, please review the EEO Policy Statement and the Know Your Rights poster.,

You will be a part of the SIS DQM- Data Quality team at AIM, a global community dedicated to driving data-driven transformation across Citi's various functions. The primary goal is to generate actionable intelligence for business leaders by collaborating with Citi businesses and functions worldwide. As a member of the team, you will manage the implementation of top-notch data quality measurement programs for the US region's retail consumer bank. Your key responsibilities will include: - Executing business data quality measurements in alignment with regulatory programs such as CCAR, AML, etc. - Designing data quality rules, testing and validating them, and identifying critical data elements in different systems - Standardizing data definitions and ensuring consistency in measurement across systems, products, and regions - Publishing monthly/quarterly scorecards at the product level and creating executive summary reports for senior management - Identifying defects, investigating root causes for issues, and following up with stakeholders for timely resolution - Assisting in audit support by identifying control gaps, policy breaches, and providing data evidence for audit completion To excel in this role, you should possess expertise in: - Analytical skills, data analysis, and visualization - Proficiency in formulating analytical methodology, identifying trends, and patterns in data to generate actionable business insights - Tools and platforms such as SAS, SQL, MS Excel, and PowerPoint - Domain skills including data definitions, data discovery, data quality framework, data governance, and data warehouse knowledge - Soft skills like problem-solving, communication, interpersonal skills, process management, and teamwork Ideally, you should hold an MBA, Mathematics, Information Technology, Computer Applications, or Engineering degree from a premier institute. A BTech/B.E in Information Technology, Information Systems, or Computer Applications will also be considered. Additionally, a post-graduate qualification in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred. You should have 2 to 5 years of hands-on experience in delivering data quality solutions, with at least 1 year of experience in the Banking Industry. This role falls under the Decision Management job family group within the Data/Information Management job family. It is a full-time position that requires the most relevant skills mentioned above. For any additional skills required or further information, you can reach out to the recruiter. If you require any accommodations due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi guidelines. Furthermore, you can view Citi's EEO Policy Statement and the Know Your Rights poster for more details.,

You will be a part of the SIS DQM- Data Quality team (C10) within AIM, a global community focused on driving data-driven transformation across Citi. Your role will involve managing the implementation of data quality measurement programs for the US region's retail consumer bank. Key responsibilities include executing business data quality measurements in alignment with regulatory programs such as CCAR and AML, designing data quality rules, standardizing data definitions, publishing scorecards, managing issues, and supporting audits. To excel in this role, you should possess strong analytical skills, including data analysis, visualization, and formulating analytical methodologies to identify trends and patterns. Proficiency in tools like SAS, SQL, MS Excel, and PowerPoint is preferred. Additionally, you should have domain expertise in data definitions, data quality framework, data governance, and data warehouse knowledge. Knowledge of finance regulations and understanding of retail business concepts are advantageous. Soft skills such as the ability to articulate and solve complex business problems, excellent communication and interpersonal skills, good process management abilities, and teamwork are essential for success in this role. You should hold a degree in MBA, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. Postgraduate qualifications in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields are preferred. Ideally, you should have 2 to 5 years of hands-on experience delivering data quality solutions, with at least 1 year of experience in the banking industry. This is a full-time position under the Decision Management job family group and falls under the Data/Information Management job family. If you require accommodations due to a disability, you can review the Accessibility at Citi policy for assistance with using search tools or applying for career opportunities. For further information on Citis EEO Policy Statement and Know Your Rights poster, you can refer to the provided resources.,

You will be a part of the Analytics Information Management (AIM) team at Citi, a global community dedicated to driving data-driven transformation across the organization. Your role will involve creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs in the retail consumer bank globally. As a member of the DQM team, you will be responsible for various critical areas, including but not limited to regulatory support, metrics design, data governance, DQ scorecards, issue management, and audit support. You will work towards executing data quality measurements in alignment with regulatory programs, designing data quality rules, standardizing data definitions, publishing scorecards, investigating root causes of issues, and providing support for audits. To excel in this role, you must possess strong analytical skills, with expertise in data analysis, visualization, formulating analytical methodology, identifying trends and patterns in data, and generating actionable business insights. Proficiency in tools such as SAS, SQL, MS Excel, PowerPoint, and VBA is preferred. Additionally, domain skills in data definitions, data discovery, data quality framework, data governance, and process improvement are highly valued. Experience in KPIs design, issue resolution, control gap identification, and measuring program effectiveness will be beneficial. Knowledge of finance regulations and understanding of the retail business landscape are advantageous. Soft skills such as problem-solving, communication, interpersonal skills, process/project management, and the ability to collaborate across functional areas are essential for success in this dynamic and fast-paced environment. The ideal candidate will hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A BTech/B.E. in Information Technology, Information Systems, or Computer Applications is also acceptable. A post-graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred. You should have 5 to 8 years of hands-on experience delivering data quality solutions, with at least 2 years in the banking industry. Join us in the Decision Management department under the Data/Information Management job family at Citi on a full-time basis. Your contributions in this role will be crucial in driving data quality initiatives and compliance within the organization.,

ServiceNow ITOM Specialist with strong hands-on experience in IT Operations Management. Candidates must have expertise in at least two of the following: Discovery, Service Mapping, or CMDB. Certifications in ITOM modules are a plus Required Candidate profile Skilled in configuring and maintaining ITOM modules, ensuring CMDB accuracy, and collaborating with infrastructure teams ServiceNow architecture, scripting, and stakeholder management is essential

As part of Analytics Information Management (AIM) team at Citi, you will be involved in driving data-driven transformation initiatives across various functions to generate actionable intelligence for our business leaders. We are a rapidly growing organization collaborating with Citi businesses worldwide. In this role, you will be a part of the DQM team responsible for implementing top-notch data quality measurement programs within the retail consumer bank globally. Your key responsibilities will include executing business data quality measurements in alignment with regulatory programs such as CCAR, AML, designing metrics, standardizing data definitions, preparing scorecards, managing data quality issues, and providing support for audits. To excel in this position, you should possess strong analytical skills with expertise in data analysis, visualization, formulating analytical methodologies, and deriving actionable business insights. Proficiency in tools like SAS, SQL, MS Excel, PowerPoint, and VBA would be advantageous. Additionally, having a good understanding of data governance, data quality framework, process improvement, and hands-on experience in KPIs design would be beneficial. Ideal candidates will have an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a reputable institute. A Bachelor's degree in Information Technology, Information Systems, or Computer Applications is also acceptable. Post-graduate qualifications in Computer Science, Mathematics, Operations Research, Econometrics, or related fields are preferred. You should have 5 to 8 years of hands-on experience delivering data quality solutions, with at least 2 years in the Banking Industry. Apart from technical skills, soft skills play a crucial role in this role. You should be adept at identifying and solving complex business problems, communicating effectively, demonstrating excellent interpersonal skills, showcasing good process/project management abilities, collaborating across functional areas, and thriving in a dynamic environment. Join us in this exciting opportunity to be a part of a global community that is at the forefront of data analytics and information management at Citi.,

As a Customer Data Stewardship Sr Analyst (IBP) at PepsiCo, you will play a crucial role in the establishment and maintenance of the Data Governance Program. This program aims to define and uphold the processes, policies, rules, and standards that govern the company's most critical data assets. By ensuring ownership, accountability, and integrity of these data assets, you will contribute to driving data-based decision analytics, improving productivity, and enhancing efficiency in daily business operations. Your primary accountabilities will include delivering key elements of Data Discovery, Source Identification, and Data Quality Management for the program and Customer Domain data. You will be responsible for ensuring data accuracy, adherence to global governance practices, and driving acceptance of enterprise data standards and policies across different business segments. Additionally, you will define Data Quality Rules, advise stakeholders on data governance matters, and ensure alignment with the Enterprise Data Governance program. In terms of Data Governance Business Standards, you will champion the adoption of Enterprise-level data standards and promote their use within the organization. You will advise on projects to identify data-related changes, manage dependencies, and ensure adherence to established data governance standards. Furthermore, you will collaborate with various stakeholders to drive organizational acceptance of data standards and promote PepsiCo's Enterprise Data Governance Capability. To qualify for this role, you should have a minimum of 8 years of experience in Customer Operations, Demand Planning, Order to Cash, Commercial Data Governance, or Data Management within the global Consumer Packaged Goods (CPG) industry. Your expertise in these areas will be essential in fulfilling the responsibilities of this position and contributing to the success of PepsiCo's Data Governance Program.,

Data Dynamics is a global leader in enterprise data management, specializing in Digital Trust and Data Democracy. With a client base of over 300 organizations, including 25% of the Fortune 20, Data Dynamics is dedicated to establishing a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software is reshaping traditional data management practices by granting data creators of all proficiency levels ownership and control over their data. As a Regional Solutions Engineer at Data Dynamics, you will assume a pivotal role in technical pre-sales and customer management. Throughout the pre-sales phase, your responsibilities will involve engaging with customers to elicit business and technical requirements, coordinating technical information, delivering demonstrations, and showcasing product positioning capabilities. You will need to conduct thorough research into the specific needs of customers and assess the feasibility of their requirements. Your proficiency will be crucial in evaluating customers" business demands and translating them into technical and licensing requisites. In instances involving Proof of Concept (POC) or a sale, you will collaborate with the sales representative for review. For existing customers where upselling or cross-selling is the primary objective, you will closely collaborate with the customer success manager allocated to the account and the global support team as necessary. A seamless handover to the implementation team before the customer's go-live phase is essential to ensure a smooth customer experience consistently. A core expectation is your capability to independently set up and conduct demonstrations and POCs from inception. The POC process necessitates defining and agreeing upon success criteria with the customer and sales representative, alongside monitoring the progress towards meeting the customer's objectives. Post POC, you are expected to secure customer approval through a presentation to Data Dynamics Sales and the customers" decision-makers. Furthermore, following any sale globally, your presence may be required to support or lead the installation, contingent on time zones and available resources. Given your regular interactions with both new and existing customers, understanding their business visions, goals, technical capacities, and constraints, you are anticipated to advocate for customers" needs. Providing feedback on business processes, technical matters, or enhancements to the relevant teams within Data Dynamics is crucial. Driving continuous enhancements across all aspects of our operations is vital to achieving our ultimate goal of ensuring customer success and satisfaction. Your responsibilities extend to scriptwriting when necessary, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be part of the role. At Data Dynamics, we are committed to delivering an exceptional customer experience and fostering a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric and passionate individual with a strong commitment to building world-class, scalable, data-driven software, we would like to connect with you. Qualifications: - Proficiency in Windows and Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, and Object Storage - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword Search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices-based applications, ITILv4, Project Management, and Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team setting - Background in data management or related field is advantageous - Bachelor's degree in Computer Science, Engineering, or a related field,

About us: Analytics Information Management (AIM) is a global community driving data-driven transformation across Citi in multiple functions to create actionable intelligence for business leaders. We are a fast-growing organization collaborating with Citi businesses and functions worldwide. What do we offer: The Data Management team oversees the implementation of best-in-class data quality measurement programs globally in the retail consumer bank. Key areas of support include: - Regulatory Support: Executing business data quality measurements in alignment with regulatory programs like CCAR, AML, etc. - Metrics Design: Identifying critical data elements in different systems, designing data quality rules, and testing and validating these rules. - Data Governance: Standardizing data definitions and ensuring measurement consistency per definitions across systems, products, and regions. - DQ Scorecards: Publishing monthly/quarterly scorecards at the country level and preparing executive summary reports for senior management. - Issue Management: Identifying defects, investigating root causes for issues, and following up with stakeholders for resolution within SLAs. - Audit Support: Identifying cases on control gaps, policy breaches, and providing data evidence for audit completion. Expertise Required: - Analytical Skills - Data analysis and visualization - Proficiency in formulating analytical methodology, identifying trends, and patterns in data - Generating actionable business insights (Preferred) - Tools and Platforms: - Proficiency in SAS, SQL, Python (Added advantage) - Proficiency in MS Excel, PowerPoint, and VBA Preferred - Domain Skills: - Good understanding of data definitions and data discovery - Data Lineage - Data quality framework - Process improvement experience related to compliance and data quality initiatives - Hands-on experience in KPI design, issue resolution, and remediation activities - Identifying control gaps and providing recommendations per data strategy (Preferred) - Knowledge of Banking products and Finance Regulations Soft Skills: - Ability to identify, articulate, and solve complex business problems and present them to management in a structured and simplified form - Excellent communication and interpersonal skills - Strong process/project management skills - Ability to collaborate effectively across multiple functional areas - Thrives in a dynamic and fast-paced environment Educational and Experience Requirements: - MBA / Master's degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, and related fields - 5 to 8 years of hands-on experience in delivering data quality solutions, with a minimum of 2 years of experience in the Banking Industry,