4955 Data Governance Jobs - Page 4

As a Tech Lead, Data Architecture at Fiserv, you will be responsible for designing and implementing robust and efficient data architectures using Snowflake. With 8-12 years of experience in data modeling, you will play a key role in ensuring our data systems meet the evolving needs of the organization. Key Responsibilities: - Develop, optimize, and oversee conceptual and logical data systems to meet current and future business requirements. - Create and maintain data models using Snowflake to ensure data integrity, performance, and security. - Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access. - Collaborate with stakeholders to understand data requirements and translate them into technical specifications. - Monitor and improve data system performance, addressing scalability, efficiency, and data quality issues. - Ensure data architectures comply with governance policies, standards, and regulations. - Stay updated on emerging data technologies and assess their potential impact on the organization. - Provide technical guidance and mentorship to junior data architects and engineers. Qualifications Required: - 8-12 years of experience in data architecture and data modeling with proficiency in Snowflake. - Strong understanding of data modeling concepts, ETL/ELT processes, data governance, and data security best practices. - Knowledge of SQL and experience with performance tuning for large-scale data systems. - Familiarity with cloud platforms such as AWS, Azure, or GCP and related data services. - Excellent problem-solving and analytical skills, along with strong communication and interpersonal abilities. - Demonstrated leadership skills in guiding and mentoring technical teams. In addition, it would be nice to have: - Education: Bachelor's or Master's degree in Computer Science, Information Technology, or related field. - Certifications: Snowflake certifications or other relevant industry certifications. Thank you for considering employment at Fiserv. Make sure to apply using your legal name, complete the profile, and attach your resume for review.,

As a Consultant, you will work closely with internal and external stakeholders and deliver high-quality analytics solutions to real-world Pharma commercial organizations" business problems. You will bring deep Pharma/Healthcare domain expertise and use cloud data tools to help solve complex problems. Key Responsibilities: - Collaborate with internal teams and client stakeholders to deliver Business Intelligence solutions that support key decision-making for the Commercial function of Pharma organizations. - Leverage deep domain knowledge of pharmaceutical sales, claims, and secondary data to structure and optimize BI reporting frameworks. - Develop, maintain, and optimize interactive dashboards and visualizations using Tableau (primary), along with other BI tools like Power BI or Qlik, to enable data-driven insights. - Translate business requirements into effective data visualizations and actionable reporting solutions tailored to end-user needs. - Write complex SQL queries and work with large datasets housed in Data Lakes or Data Warehouses to extract, transform, and present data efficiently. - Conduct data validation, QA checks, and troubleshoot stakeholder-reported issues by performing root cause analysis and implementing solutions. - Collaborate with data engineering teams to define data models, KPIs, and automate data pipelines feeding BI tools. - Manage ad-hoc and recurring reporting needs, ensuring accuracy, timeliness, and consistency of data outputs. - Drive process improvements in dashboard development, data governance, and reporting workflows. - Document dashboard specifications, data definitions, and maintain data dictionaries. - Stay up to date with industry trends in BI tools, visualization of best practices, and emerging data sources in the healthcare and pharma space. - Prioritize and manage multiple BI project requests in a fast-paced, dynamic environment. Qualifications: - 2-4 years of experience in BI development, reporting, or data visualization, preferably in the pharmaceutical or life sciences domain. - Strong hands-on experience building dashboards using Tableau (preferred), Power BI, or Qlik. - Advanced SQL skills for querying and transforming data across complex data models. - Familiarity with pharma data such as Sales, Claims, and secondary market data is a strong plus. - Experience in data profiling, cleansing, and standardization techniques. - Ability to translate business questions into effective visual analytics. - Strong communication skills to interact with stakeholders and present data insights clearly. - Self-driven, detail-oriented, and comfortable working with minimal supervision in a team-oriented environment. - Exposure to data warehousing concepts and cloud data platforms (e.g., Snowflake, Redshift, or BigQuery) is an advantage. Education: - Bachelors or Masters Degree (computer science, engineering, or other technical disciplines),

Role Overview: As the Data Governance Foundation Lead Analyst, you will be responsible for contributing to the directional strategy and assisting in the creation and modification of Enterprise Data Governance Strategy, Data Risk and Control Framework, and Data Risk Taxonomy. Your focus may include assisting in identification, measurement, and reporting, data policy adoption and compliance, data controls framework performance and issue management process, as well as regulatory and audit response and action tracking. You must be dynamic, flexible, and adept at responding to rapidly changing needs. Your ability to handle ambiguity and complexity will be crucial as you deliver on multiple responsibilities. Developed communication and diplomacy skills are essential for guiding, influencing, and convincing others. Key Responsibilities: - Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control frameworks - Design, implement, and monitor Data Quality scorecards to ensure completeness, accuracy, and timeliness for Wholesale Credit Risk data - Identify and thoroughly investigate recurring data concerns, including potential false positives, collaborating with Technology and other key stakeholders to address them effectively - Collaborate closely with internal and external business partners to build, implement, track, and improve Data Quality control processes - Utilize Machine Learning and other advanced analytical methods to identify complex data patterns and trends, providing actionable insights to enhance the quality of data supporting Credit Risk reporting Qualifications: - 10+ years of relevant experience in SQL/Python/Tableau - Familiarity with Wholesale Credit Risk and financial markets instruments - Proficiency in data tracing, data mining, visualization, analysis, identifying patterns/trends, exploratory data analysis, and root cause analysis - Ability to manage tight deadlines or unexpected requirement changes, with the capacity to anticipate and balance the needs of multiple stakeholders - Effective communication skills to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences Additional Details: Omit this section as there are no additional details of the company mentioned in the job description. Education: - Bachelor's/University degree, Master's degree preferred Hone your skills in: - Constructive Debate - Data Governance - Data Management - Data Quality - Internal Controls - Management Reporting - Policy and Procedure - Program Management - Risk Controls and Monitors - Risk Management For any complementary skills, please refer to the job description above or contact the recruiter. If you require a reasonable accommodation due to a disability to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster for more information.,

As a Data Analytics Sr Lead Analyst at our company, you will be a strategic professional who closely follows the latest trends in the Data Science/Data Mining/Big Data field and adapts them for application within your role and the business. Your excellent communication skills will be crucial for negotiating internally, often at a senior level, and leveraging diplomacy to guide, influence, and convince internal and external stakeholders. You will serve as the subject matter expert for strategic data analysis, identifying insights and implications, making strategic recommendations, and developing data displays that clearly communicate complex analysis. Additionally, you will apply ingenuity and creativity to problem analysis and resolution in both complicated and novel contexts, demonstrating sophisticated analytical thought and making refined judgments and sound solutions. **Responsibilities:** - Adapting the latest trends in Data Science/Data Mining/Big Data field for application within your role and the business. - Serving as the subject matter expert for strategic data analysis, identifying insights, making strategic recommendations, and developing data displays. - Demonstrating excellent communication skills for negotiating internally, leveraging diplomacy, and guiding internal and external stakeholders. - Applying ingenuity and creativity to problem analysis and resolution in complicated and novel contexts. - Employing sophisticated analytical thought to make refined judgments and sound solutions. - Consulting on business operations and offering authoritative advice to influence significant business outcomes. - Informing and implementing the sub-function's technical strategy. - Handling staff management issues, including resource management and allocation of work within the team/project. **Qualifications:** - 10+ years of relevant experience - Proficiency with Hadoop, Python, Tableau, Collibra, Data Quality, SAS Tools with a strong understanding of Data Governance - Demonstrated leadership skills - Consistently demonstrating clear and concise written and verbal communication - Proven stakeholder management skills with the ability to engage with Senior Stakeholders - Proven interpersonal skills with the ability to partner and influence across organizational lines - Proven ability to use complex analytical, interpretive, and problem-solving techniques **Education:** - Bachelors/University degree or equivalent experience, potentially Masters degree This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.,

As a Data Engineer at our company, you will play a crucial role in managing and optimizing data processes. Your responsibilities will include: - Designing and developing data pipelines using Python programming - Leveraging GCP services such as Dataflow, Dataproc, BigQuery, Cloud Storage, and Cloud Functions - Implementing data warehousing concepts and technologies - Performing data modeling and ETL processes - Ensuring data quality and adhering to data governance principles To excel in this role, you should possess the following qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field - 5-7 years of experience in data engineering - Proficiency in Python programming - Extensive experience with GCP services - Familiarity with data warehousing and ETL processes - Strong understanding of SQL and database technologies - Experience in data quality and governance - Excellent problem-solving and analytical skills - Strong communication and collaboration abilities - Ability to work independently and in a team environment - Familiarity with version control systems like Git If you are looking to join a dynamic team and work on cutting-edge data projects, this position is perfect for you.,

Role Overview: As a Technical Lead Data Modeler at CitiusTech, you will be part of an Agile team responsible for designing and building healthcare applications, implementing new features, and ensuring adherence to the best coding development standards. Your role will involve analyzing business requirements, designing data models, collaborating with stakeholders, and supporting data governance initiatives. Key Responsibilities: - Analyze business requirements to understand data needs and relationships, and design conceptual data models representing high-level business entities and relationships. - Develop logical data models with detailed attributes, keys, and relationships, and create physical data models optimized for specific database or data lake platforms. - Define and document data definitions, standards, and naming conventions, collaborating with data architects, engineers, and analysts to align models with technical and business needs. - Normalize or denormalize data structures based on performance and use-case requirements. - Map source systems to target models for ETL/ELT development and maintain data dictionaries and metadata repositories. - Ensure data models support data quality, integrity, and consistency, reviewing and validating models with stakeholders and subject matter experts. Qualification Required: - Experience: 5-7 years - Location: Pune, Chennai, Bangalore, Mumbai - Educational Qualifications: Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Additional Company Details: CitiusTech is a global IT services, consulting, and business solutions enterprise focused 100% on the healthcare and life sciences industry. With over 8,500 healthcare technology professionals worldwide, CitiusTech enables enterprises to build efficient, effective, and equitable human-first ecosystems. The company is committed to shaping healthcare possibilities and making a positive impact on human lives through innovation, collaboration, and continuous learning. CitiusTech offers a diverse and inclusive work culture that focuses on continuous learning, work-life balance, and creating a fun and transparent environment for its employees. Rated as a Great Place to Work, CitiusTech is dedicated to humanizing healthcare and driving positive change in the industry. For more information about CitiusTech, visit their careers page at https://www.citiustech.com/careers.,

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.,

As a Tech Lead specializing in Data & Analytics, you will be responsible for the following: **Role Overview:** You will play a crucial role in handling and processing data efficiently, ensuring optimal performance and data integrity. Additionally, you will be involved in data analysis, statistical modeling, and visualization to derive meaningful insights for the organization. **Key Responsibilities:** - Proficient in SQL Server with a focus on query optimization. - Expertise in application data design and process management. - Extensive knowledge of data modeling techniques. - Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. - Experience working with Azure Databricks. - Expertise in data warehouse development, including SSIS and SSAS. - Proficiency in ETL processes, data cleaning, and normalization. - Familiarity with big data technologies like Hadoop, Spark, and Kafka. - Understanding of data governance, compliance, and security within Azure environments. - Experience in data analysis, statistical modeling, and machine learning techniques. - Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy. - Strong expertise in Power BI for data visualization, data modeling, and DAX queries. - Experience in implementing Row-Level Security in Power BI. - Ability to work with medium-complex data models and understand application data design quickly. - Familiar with industry best practices for Power BI and performance optimization. - Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques. **Qualifications Required:** - Ability to lead a team of 4-5 developers and take ownership of deliverables. - Commitment to continuous learning and staying updated with new technologies. - Strong communication skills in English, both written and verbal. - Effective interaction with customers during project implementation. - Capability to explain complex technical concepts to non-technical stakeholders. In addition to technical skills, the following skills are preferred for this role: - Data Management: SQL, Azure Synapse Analytics, Azure Analysis Service, Data Marts, Microsoft Fabric - ETL Tools: Azure Data Factory, Azure Databricks, Python, SSIS - Data Visualization: Power BI, DAX This comprehensive role requires a blend of technical expertise, leadership skills, and effective communication to drive successful data and analytics projects within the organization.,

As a Data Engineering Senior Associate at Microsoft, Fabric, Azure (Databricks & ADF), PySpark, your role will involve: - Requirement gathering and analysis - Designing and implementing data pipelines using Microsoft Fabric & Databricks - Extracting, transforming, and loading (ETL) data from various sources into Azure Data Lake Storage - Implementing data security and governance measures - Monitoring and optimizing data pipelines for performance and efficiency - Troubleshooting and resolving data engineering issues - Providing optimized solutions for any problem related to data engineering - Working with a variety of sources like Relational DB, API, File System, Realtime streams, CDC, etc. - Demonstrating strong knowledge on Databricks, Delta tables Qualifications Required: - 4-10 years of experience in Data Engineering or related roles - Hands-on experience in Microsoft Fabric and Azure Databricks - Proficiency in PySpark for data processing and scripting - Strong command over Python & SQL for writing complex queries, performance tuning, etc. - Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas) - Hands-on experience in performance tuning & optimization on Databricks & MS Fabric - Understanding CI/CD practices in a data engineering context - Excellent problem-solving and communication skills - Exposure to BI tools like Power BI, Tableau, or Looker Additional Details: - Experienced in Azure DevOps is a plus - Familiarity with data security and compliance in the cloud - Experience with different databases like Synapse, SQL DB, Snowflake etc.,

Role Overview: At WRD, we are redefining the world of IT consulting by merging human expertise with cutting-edge AI technology. Join us to work on the forefront of AI-powered innovation, where your skills drive real impact, creativity meets advanced technology, and each project sets a new standard in IT excellence. Key Responsibilities: - Develop & Maintain data pipelines to support business and analytical needs. - Work with structured and unstructured data to ensure high data quality and availability. - Build scalable and efficient data workflows using SQL, Python, and Java/Scala. - Manage and process large datasets on AWS EMR and other cloud platforms. - Develop and maintain batch and stream data processing jobs using tools like Spark (preferred). - Deploy, monitor, and troubleshoot workflows on orchestration platforms like Airflow (preferred). - Ensure compliance with data governance and security standards. Qualification Required: - Strong Proficiency in SQL for data extraction, transformation, and reporting. - Strong understanding of ETL pipelines. - Very good programming skills in Java/Scala and Python. - Strong problem-solving and analytical skills. - Experience with Apache Spark for large-scale data processing. Additional Details: At WRD, you will have the opportunity to work on cutting-edge data engineering challenges in a collaborative and inclusive work environment. We offer professional growth and upskilling opportunities, along with a competitive salary and benefits package.,

As the Data Governance Foundation Lead Analyst at our company, your role is crucial in contributing to the directional strategy and assisting in the creation and modification of Enterprise Data Governance Strategy, Data Risk and Control Framework, and Data Risk Taxonomy. Your focus may include assisting in identification, measurement, and reporting, data policy adoption and compliance, data controls framework performance, issue management process, as well as regulatory and audit response and action tracking. Responsibilities: - Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework - Design, implement, and monitor Data Quality scorecards for completeness, accuracy, and timeliness for Wholesale Credit Risk data - Identify and investigate recurring data concerns, collaborating with key stakeholders to address them effectively - Collaborate with internal and external business partners to build, implement, track, and improve Data Quality control processes - Utilize Machine Learning and other advanced analytical methods to identify complex data patterns and trends, providing actionable insights to enhance the quality of data supporting Credit Risk reporting Qualifications: - 10+ years of relevant experience in SQL, Python, and Tableau - Familiarity with Wholesale Credit Risk and financial markets instruments - Proficiency in data tracing, data mining, visualization, analysis, identifying patterns/trends, exploratory data analysis, and root cause analysis - Ability to manage tight deadlines, unexpected requirement changes, and balance needs of multiple stakeholders - Effective communication skills to develop and deliver clear communications tailored to different audiences Education: - Bachelor's/University degree; Master's degree preferred If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi.,

Responsibilities Be a team player ® Dedicated to Source (Catalyst & Keystone) to GFIN (Target) Reconciliations, GFIN vs HFM Reconciliations, and research discrepancies between the systems ® Work with Data Engineering and Power BI developers to create recon dashboards and general maintenance of dashboards ® Create and update process documentation ® Support Internal Audit requests ® Participate in ad hoc project requests ® Management of Change Champions for MDG - to ensure the smooth flowing of new Data Objects via the MDG process ® Governance of new Data Objects, and Values ® Management of effective input capture and central overview data files Experience ® 8 – 10 Years ® Proactive, self-starter – driving agenda and opportunities for improvement ® Simplification in comms and actions necessary to take to solve issues ® Question and call out when data look unusual ® Autonomy to review and research on their own and support findings ® Excel savvy – experience working with frequent and large data sets ® Some systems experience preferred (SAP, HFM, Oracle, Snowflake, Power BI) ® Experience of Data Governance and systems related to DG ® Has proven Networks in KH – knows who to speak to ® Working knowledge of products, and how these fit together with supply elements ® Understanding of data rules by functional areas ® Confidence in using applications, some systems experience preferred - SAP, HFM, Oracle, Snowflake, Power BI

Role Overview: As a Sr Advanced Data Analyst at Advanced Materials, you will be instrumental in utilizing your expertise to drive data-driven insights and analytics for enhancing operational efficiency and facilitating better decision-making processes. Your role will involve collaborating with various teams to address business demands and devise innovative solutions. The ability to transform complex data into actionable insights will be essential in maintaining data accuracy and integrity within the organization. Key Responsibilities: - Analyze large volumes of data to identify opportunities for optimizing operational efficiency. - Develop and execute data analytics strategies to drive continuous improvement within the organization. - Collaborate with cross-functional teams to address business requirements and devise effective solutions. - Translate intricate data sets into actionable insights to support decision-making processes. - Ensure data integrity and accuracy through thorough data analysis and validation procedures. Qualifications: YOU MUST HAVE - A minimum of 6 years of experience in data analytics. - Strong analytical skills and problem-solving abilities. - Proficiency in data analytics tools and programming languages such as Python, R, SQL, etc. - Excellent communication skills and a people-oriented approach. WE VALUE - A Bachelor's degree in a relevant field like Data Science, Analytics, Engineering, etc. - Strong leadership qualities with the ability to influence and coach others effectively. - Demonstrated track record of driving data-driven decision-making and achieving measurable business outcomes. - Experience in advanced data analysis techniques like machine learning, predictive modeling, etc. - Familiarity with data governance and data quality initiatives.,

As a Lead Analyst at Barclays, you will be responsible for leading and managing engineering teams to deliver high-quality software solutions. You will provide technical guidance, mentorship, and support to ensure technical excellence and innovation. Your role will involve collaborating with cross-functional teams to align technical decisions with business objectives. Key Responsibilities: - Lead and manage engineering teams effectively to achieve project goals and meet organizational objectives. - Oversee timelines, team allocation, risk management, and task prioritization to ensure successful delivery of solutions within scope, time, and budget. - Mentor and support team members" professional growth, conduct performance reviews, provide feedback, and identify improvement opportunities. - Evaluate and enhance engineering processes, tools, and methodologies to increase efficiency and optimize team productivity. - Collaborate with business partners, product managers, designers, and stakeholders to translate business requirements into technical solutions. - Enforce technology standards, facilitate peer reviews, and implement robust testing practices to ensure high-quality solutions. Qualifications Required: - Proficiency in data analysis and interpretation, with the ability to analyze complex data sets and provide actionable insights. - Strong understanding of statistical methods and their applications in data analysis. - Expertise in data analysis tools such as SQL, Python, R, and Excel, as well as data visualization tools like Tableau or Power BI. - Strong problem-solving skills to identify trends, patterns, and anomalies in data. - Excellent communication and leadership skills to effectively present findings to stakeholders and lead a team of data analysts. - Business acumen with a solid understanding of business processes and the ability to align data analysis with business objectives. In addition, the following skills are highly valued: - Knowledge of machine learning algorithms and their applications in predictive analytics. - Familiarity with big data technologies such as Hadoop and Spark. - Understanding of the specific industry or domain in Data Engineering and Data Analytics in the Financial domain. - Knowledge of data governance practices and data quality management. - Experience with advanced statistical techniques such as regression analysis and hypothesis testing. Please note that this role is based in Pune. Barclays values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive, are expected to be demonstrated by all colleagues.,

Role Overview: You will be a part of the enterprise data office and product solution team, where your main focus will be to ensure accurate, timely, and fit for purpose data for business, risk management, and regulatory reporting requirements. Your average day will involve collaborating with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps, and design systematic solutions for business needs. You will also be documenting product data flows along with transformation, mapping, enrichments, and logic within enterprise systems. Key Responsibilities: - Understand Derivatives data flows within CITI for Equities, FX, IRS, Fixed Income, Commodities, etc. - Conduct data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues - Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports - Document current and target states data mapping and produce gap assessment - Coordinate with the business to identify critical data elements, define standards and quality expectations, and prioritize remediation of data issues - Identify appropriate strategic sources for critical data elements - Design and Implement data governance controls including data quality rules and data reconciliation - Design systematic solutions for the elimination of manual processes/adjustments and remediation of tactical solutions - Prepare detailed requirement specifications containing calculations, data transformations, and aggregation logic - Perform functional testing and data validations Qualifications Required: - 4-7 years of combined experience in banking and financial services industry, information technology, and/or data controls and governance - Preferably an Engineering Graduate with Post Graduation in Finance - Understanding of Derivative products (i.e., Equities, FX, IRS, Commodities, etc.) - Strong Data analysis skills using Excel, SQL, Python, Pyspark, etc. - Experience with data management processes and tools and applications, including process mapping and lineage toolsets - Ability to identify and solve problems throughout the product development process - Analytical thinking ability to break down complex data structures and processes to identify issues and develop logical models that meet business needs - Strong knowledge of structured/unstructured databases, data modeling, data management, rapid/iterative development methodologies, and data governance tools - Good Understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment - Demonstrated stakeholder management skills - Excellent communication skills needs to be able to communicate with technical and non-technical stakeholders to gather requirements and develop clear documentation - Excellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions - Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs - Self-motivated and able to dynamically determine priorities - Data visualization skills can help in creating visual representations of data models and provide input to UX/UI team to help make it easier to communicate complex model relationships with stakeholders,

As a Data Catalog Consultant/Manager, you will be responsible for designing and implementing data catalog solutions that improve data discovery, accessibility, and governance across your clients" organizations. Leveraging your expertise in Collibra, IDMC, and Purview, you will develop robust data catalog frameworks and collaborate with cross-functional teams to align data assets with business objectives. Key Responsibilities: - Engage with clients to understand their data catalog and governance needs. - Design and implement comprehensive data catalog solutions using Collibra, IDMC, and Purview. - Provide expert advice on industry best practices and emerging trends in data cataloging and governance. - Utilize Collibra, IDMC, and Purview to manage and enhance data catalog processes. - Configure and customize data catalog tools to meet specific client requirements. - Establish data catalog metrics and KPIs to assess effectiveness and drive continuous improvement. - Collaborate with data architects, data analysts, IT, legal, and compliance teams to integrate data cataloging into broader data management initiatives. - Mentor and guide junior team members, fostering a culture of knowledge sharing and professional growth. Qualifications: - Bachelors or Masters degree in Information Systems, Data Management, Computer Science, or a related field. - Proven experience in data cataloging and governance, preferably within a consulting environment. - Expertise in Collibra, Informatica Data Management Cloud (IDMC), and Microsoft Purview. - Strong understanding of data governance frameworks, tools, and technologies. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels. - Relevant certifications in Collibra, Informatica, and Microsoft Purview are advantageous. What We Offer: A dynamic and inclusive work environment that values collaboration and innovation. Opportunities for professional development and career advancement. Competitive salary and benefits package. The chance to work with industry-leading clients and cutting-edge technologies.,

Role Overview: You will be responsible for utilizing your technical expertise in data engineering to support cybersecurity initiatives. Your role will involve integrating data science workflows, deploying ML models, and ensuring data quality and governance. Additionally, you will be involved in data analytics and visualization, CI/CD automation, and working in Agile/Scrum environments. Key Responsibilities: - Utilize strong skills in Python, PySpark, SQL, Databricks, and big data frameworks for data engineering tasks - Integrate data science workflows and deploy ML models within a cybersecurity context - Demonstrate advanced proficiency in AWS services such as EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes) - Implement automated data quality checks, data lineage, and governance standards to ensure data integrity and compliance - Use analytics and visualization tools like Databricks, Power BI, and Tableau to generate actionable insights for cybersecurity risks - Build CI/CD pipelines for automating testing, security scans, and deployment processes - Work in Agile/Scrum environments to effectively deliver complex projects with cross-functional collaboration Qualification Required: - B.E. in Computer Science, Data Science, Information Systems, or related field, or equivalent professional experience - 5+ years of experience in data engineering with expertise in Python, PySpark, SQL, Databricks, and big data frameworks - Proficiency in AWS services, data quality checks, analytics tools, CI/CD pipelines, and Agile/Scrum methodologies About Us: Oracle, a world leader in cloud solutions, focuses on utilizing cutting-edge technology to address current challenges. With a commitment to inclusivity and innovation, Oracle offers global opportunities for career growth while promoting work-life balance. Competitive benefits, flexible medical, life insurance, and retirement options are provided to support employees. Additionally, Oracle encourages community engagement through volunteer programs and is dedicated to including individuals with disabilities in the workforce. If you require accessibility assistance, you can reach out via email at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

As a Data Governance Specialist at Beinex in India/Dubai, your role will involve implementing data governance solutions using the right set of data management concepts, approaches, and tools. You will work with the enterprise to define and articulate the data management strategic vision and translate it into implementable tactical steps. Your responsibilities will include designing operating models of Data Governance, Data Quality, and Metadata Management in Data Lake environments, conducting data management maturity assessments, documenting requirements, and reviewing specifications changes. Additionally, you will be involved in designing critical data elements, policies, processes, glossary, data sets, and data quality rules using Axon and developing data quality applications using Informatica Data Quality. You will collaborate with business owners to establish quality assurance processes and work closely with stakeholders on solution ideation, design, and implementation for customer data governance requirements. Key Responsibilities: - Implement data governance solutions with the right set of data management concepts, approaches, and tools - Define and articulate the data management strategic vision for the enterprise - Design operating models of Data Governance, Data Quality, and Metadata Management in Data Lake environments - Conduct data management maturity assessments and identify areas for improvement - Document requirements, service requests, enhancements, and operational activities - Design critical data elements, policies, processes, glossary, data sets, and data quality rules using Axon - Develop data quality applications using Informatica Data Quality - Assist business owners in establishing quality assurance processes - Collaborate with stakeholders on solution ideation, design, and implementation for customer data governance requirements Key Qualifications: - 5+ years of experience with Data Quality and Data Integration projects - Expert-level skills in Informatica Axon DG implementation - Knowledge of IDQ Integration with other Informatica Products (PowerCenter, Axon, EDC) - In-depth knowledge of data governance and data management concepts, approaches, tools - Hands-on experience in data integration using Informatica PowerCenter and BDM tools - Expertise in writing SQL queries and database management - Proven experience in managing projects from inception to production rollout and support - Strong client-facing negotiation, communication, issue resolution, and analytical skills - Bachelors or Masters Degree in Computer Science, Engineering, or a related field At Beinex, you can enjoy comprehensive health plans, learning and development opportunities, workation and outdoor training, a hybrid working environment, and on-site travel opportunities. Be part of a dynamic team and unlock your full potential with Beinex Branded Merchandise.,

Role Overview: As a Data Analyst at Standard Chartered, you will play a crucial role in building the best customer experiences and making better business decisions by utilizing diverse sets of data. Your expertise in structured and unstructured data, combined with business domain knowledge, will enable you to translate commercial goals into data-based solutions to tackle complex challenges. Key Responsibilities: - Support the development and execution of the data analytics strategy and roadmap. - Develop and deploy analytical models to provide insights for business decisions. - Translate business challenges into statistical problems and conduct data analysis. - Utilize data analysis techniques such as trend analysis, regression analysis, and Monte Carlo simulation. - Analyze datasets using tools like Azure, Python, and SQL to gain actionable insights. - Present key findings and business recommendations to stakeholders through data storyboarding and visualization. - Drive analytics-driven decision-making processes across the business. - Build and automate data visualization dashboards using tools like Tableau and Power BI. - Collaborate with stakeholders to optimize analytical tools including Dataiku, Python, and Azure. Qualifications: - Statistical analysis. - Agile project management. - Big data management and analytics. - Data monetization. - Financial mathematics. - Business acumen. - Emerging technologies. - Client experience, behaviors, and preferences. - Financial services regulatory experience. - Data governance and management. Additional Company Details: Standard Chartered is an international bank committed to making a positive impact for its clients, communities, and employees. With a history spanning over 170 years, the bank values innovation, challenges the status quo, and aims to create opportunities for growth. The organization promotes a culture of inclusivity, diversity, and continuous learning, fostering an environment where unique talents are celebrated and valued. If you are seeking a purpose-driven career in a bank that makes a difference, Standard Chartered welcomes your application.,

As a Digital Analytics Manager, you will play a crucial role in leading the digital analytics function and providing strategic insights for our digital ecosystem. Your responsibilities will involve collaborating with various teams to ensure data-driven decision-making, efficient project execution, and measurable ROI. **Key Responsibilities:** - Lead Adobe Analytics and Adobe Launch implementations across multiple digital platforms (web/mobile). - Oversee the end-to-end tagging lifecycle from solution design, implementation, QA, to reporting and validation. - Collaborate with key business stakeholders to scope new analytics requests, translate them into actionable technical requirements, and lead their execution. - Manage a team of analysts and tagging specialists to ensure timely delivery, prioritization, and quality of digital analytics deliverables. - Work closely with developers, product managers, UX teams, and marketing to embed measurement strategies across all digital initiatives. - Develop and maintain documentation including SDRs (Solution Design References), implementation specs, and governance frameworks. - Monitor data accuracy, troubleshoot discrepancies, and manage change control processes. - Provide strategic insights and data storytelling to leadership to support business goals, product enhancements, and campaign performance. - Own revenue forecasting, budgeting, and resource planning for the analytics function. - Stay current with industry trends, Adobe product updates, and best practices in tag management and privacy compliance (GDPR, CCPA, etc.). **Required Skills & Experience:** - 10-15 years of experience in digital analytics, with a strong focus on Adobe Analytics (AA) and Adobe Launch. - Proven track record of managing end-to-end digital measurement projects for high-traffic sites and/or enterprise-level clients. - Deep understanding of digital data layers, tagging strategies, and data governance. - Strong experience working with stakeholders across Marketing, Product, Engineering, and Legal teams. - Excellent project management skills with the ability to lead multiple initiatives in parallel. - Clear understanding of business KPIs and ability to tie digital analytics outputs to business impact. - Strong analytical mindset and problem-solving skills, including the ability to work with large datasets. - Hands-on experience with data visualization tools (Adobe Workspace, Power BI, Tableau, etc.). - Comfortable presenting to senior leadership and translating data into meaningful business recommendations. **Nice to Have:** - Experience with Adobe Experience Platform WebSDK (AEP WebSDK) - Familiarity with Customer Journey Analytics (CJA) and Adobe Target - Working knowledge of JavaScript, HTML, and debugging tools (e.g., Charles Proxy, Adobe Debugger) - Understanding of privacy regulations and consent management tools,

Role & responsibilities Handling RFP / RFI / Government Tender technical solution, detailed scope preparation, effort estimations and response drafting Excellent presentation skills is important Understand client needs, translate them into business solutions that can be implemented Responsible for architecture, design and development of scalable data engineering / AI solutions and standards for various business problems using cloud native services, or third party services on hyperscalers Take ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential Data science/Model related problems Delivering and presenting proofs of concept of key technology components to project stakeholders Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Design and develop model utilization benchmarks, metrics, and monitoring to measure and improve models. Detect model drift and alert - Prometheus, Grafana stack, Cloud native monitoring stack Research, design, implement and validate cutting-edge deployment methods across hybrid cloud scenarios Develop and maintain documentation of the Model flows and integrations, pipelines etc Evaluate and create PoVs around the performance aspects of DSML platforms and tools in the market against customer requirements Assist in driving improvements to the Data Engineering stack, with a focus on the digital experience for the user, as well as model performance & security to meet the needs of the business and customers, now & in the future Required Experience: Data Engineer with 15+ years of experience with following skills - Must have 5+ years of experience working with Data modernisation solutions, working experience with on-prem or in cloud AI, DWH solutions based on native and third party solutions based AWS, Azure, GCP, Databricks etc. Experience of handling RFP / RFI / Tender responses, proposal preparation Must have experience designing and architecting of data lake/warehouse projects using Paas and Saas - such as Snowflake, Databricks, Redshift, Synapse, BigQuery etc. or data warehouse/data lake implementations on-premise Must have good knowledge in designing data pipelines ETL/ELT, DS modules implementing complex stored Procedures and standard DWH and ETL concepts Experience in Data Migration from on-premise RDBMS to cloud data warehouses Good understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling) Hands-on experience in Python, PySpark, programming for data integration projects Support in providing resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface. Preferred candidate profile Understanding of cloud network, security, data security and data access controls and design aspects AI and Data solutions on Hyperscalers such as Databricks, MS-Fabric, co-pilot, AWS redshift, GCP BigQuery, GCP Gemini etc Background Agentic AI, GenAI technologies will be added advantage Hands ON experience for planning and executing POC / MVP / Client projects engaging Data Modernization and AI use case developments Required Skills: Bachelor's degree in Computer Science, Information Security, or a related field •Skilled in planning, organization, analytics, and problem-solving •Excellent communication and interpersonal skills to work collaboratively with clients and team members •Comfortable working with statistics

Roles and Responsibilities * Design, develop, and maintain Collibra solutions for data governance and quality management. * Collaborate with cross-functional teams to ensure seamless integration of Collibra with existing systems. Desired Candidate Profile * Troubleshoot issues related to Collibra implementation, configuration, and data quality. **Job Requirements** * Strong understanding of data governance principles and best practices. * 3-8 years of experience in Collibra development or a related field. * Proficiency in developing metadata models and definitions using various tools (e.g., XML, JSON). * Bachelor's degree in any specialization (BCA or B.Sc).

Responsibilities Knowledge of more than one technology • Basics of Architecture and Design fundamentals • Knowledge of Testing tools • Knowledge of agile methodologies • Understanding of Project life cycle activities on development and maintenance projects • Understanding of one or more Estimation methodologies, Knowledge of Quality processes • Basics of business domain to understand the business requirements • Analytical abilities, Strong Technical Skills, Good communication skills • Good understanding of the technology and domain • Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods • Awareness of latest technologies and trends • Excellent problem solving, analytical and debugging skills Technical and Professional Requirements: Technology->Data Management - MDM->Stibo MDM Preferred Skills: Technology->Data Management - MDM->Stibo MDM

Key responsibilities: Working on daily business requests for master data objects - creation/update/obsolete/reactivate to ensure smooth Run and Maintain for business operations. Responsible for business interaction for clarifying the request and ensuring accurate data maintenance in the system. Request closure within defined SLA timelines. Testing master data creations/updates across tools and interfaces Engagement in additional tasks/projects as needed, may involve multiple team interaction to meet the above deliverables Mentoring the other team members on topics of expertise Flexibility to work in shifts Key requirements: Should have hands on experience on Master data creation and maintenance (Material/Vendor/Pricing/Customer/PIRs/Source List/BOM data etc) Hands on experience on SAP toolsets in Data space including Data extraction programs from SAP, SQVIs, ETL processes, Load programs, LSMW, data quality maintenance and cleansing etc. Knowledge of Request Management tools eg: SNOW, Remedy etc Knowledge of key database concepts, data models, relationships between different types of data An understanding of end-to-end set-up and business impact of master data key fields Knowledge about SAP, S/4 HANA, SAP-MDG, Ariba, MW (Informatica etc) or additional ERP platforms, IT tools and technologies is desirable Experience in Data Management Processes (Data Profiling & Cleansing. Workflows, Data Quality, Governance Process, relationships & dependencies with IT teams etc.), or functional knowledge in SAP MM/PP or OTC modules will be an added advantage. Professional experience of ~ 5-6 years Good communication skills, stakeholder alignment, experience of interaction with end clients/ international colleagues across geographies Strong ownership focus, drive to excel & deliver Ability to resolve conflicts, share, collaborate and work as a team player.