4985 Data Governance Jobs - Page 26

As an AI Architect at EY in Dublin, you will have the opportunity to shape and implement transformative AI and data-driven solutions for clients in the Technology Consulting field. You will play a crucial role in designing and delivering AI architectures that address complex business challenges, ensuring scalability, security, and compliance. Your technical expertise in AI architecture, data engineering, and Generative AI technologies will be essential in leading cross-functional teams to deliver innovative AI and data solutions. Collaborating with clients, you will develop comprehensive AI architectures and data strategies tailored to meet their specific business needs. Your responsibilities will include leading the design and delivery of AI-powered solutions such as Generative AI models, predictive analytics, and machine learning systems. You will oversee the end-to-end lifecycle of AI and data projects, from discovery and design to deployment and ongoing optimization. Additionally, you will design and implement data pipelines and data engineering frameworks to seamlessly integrate AI models with enterprise systems. To excel in this role, you must possess a bachelor's degree in computer science, data science, engineering, or a related field, along with at least 8 years of experience in AI architecture, data engineering, and solution delivery roles. Your expertise should encompass data modeling, data integration, cloud-native architectures (e.g., Azure, AWS, GCP), Generative AI technologies, machine learning frameworks, and data-driven decision-making approaches. Strong project management skills and the ability to communicate technical concepts to non-technical stakeholders are also key requirements. Ideal candidates will hold a master's degree in artificial intelligence, data science, or a related discipline, and have consulting experience in delivering scalable AI and data architectures for enterprise clients. Deep understanding of data governance, privacy regulations, and the ability to bridge the gap between IT and business needs are highly desirable qualities. At EY, we offer a competitive remuneration package with comprehensive benefits that support flexible working, career development, and personal well-being. You will have the opportunity to work with engaging colleagues, develop new skills, and progress your career in a supportive and inclusive environment. Our commitment to diversity and inclusion ensures that all differences are valued and respected, fostering a culture where everyone can thrive and contribute their unique perspectives. Join us at EY to build a better working world through innovation, inclusivity, and transformative leadership. If you meet the criteria outlined above and are eager to make a meaningful impact in the field of AI architecture, we encourage you to apply now and be a part of our dynamic team.,

Join us as a Senior Database Developer and drive high-performance data systems for financial services! MSBC is seeking a Senior Database Developer with expertise in Oracle and PL/SQL to design, develop, and optimize complex database solutions. This role offers an exciting opportunity to enhance data integrity, scalability, and performance while working on mission-critical applications. Collaborate with industry experts to deliver efficient and secure database solutions supporting financial services and enterprise applications. If you are passionate about database development and thrive in a fast-paced, technology-driven environment, join us in driving innovation and efficiency through data management. Key Tools and Technologies: - Database Management: Oracle Database, MySQL, PostgreSQL, NoSQL - Development & Optimization: PL/SQL, SQL, Query Optimization, Index Tuning, Execution Plans - Architecture & Data Modeling: Logical & Physical Data Modeling, Normalization, Data Governance - Security & Performance: Data Security, Performance Tuning, Backup & Recovery, Disaster Recovery - Version Control & Deployment: Git, Database Deployment Strategies - Cloud & Automation: Oracle Cloud, AWS RDS, ETL Processes, BI Tools, DevOps Practices Key Responsibilities: - Develop and optimize database solutions ensuring integrity, security, and performance. - Design and maintain database schema, tables, indexes, views, and stored procedures. - Implement data models and governance standards aligned with business requirements. - Conduct performance tuning and troubleshooting to enhance efficiency. - Manage backups, recovery, and disaster recovery strategies. - Collaborate with architects, analysts, and development teams for seamless integration. - Provide technical support and mentorship to junior developers. Skills & Qualifications: - 5+ years of experience in database development with expertise in PL/SQL and SQL. - Strong grasp of database architecture, normalization, and design patterns. - Hands-on experience with database security, performance tuning, and version control. - Familiarity with cloud-based solutions, automation, and DevOps practices. - Additional experience with MySQL, PostgreSQL, or NoSQL databases is a plus. - Oracle Certified Professional (OCP) certification preferred. - Strong problem-solving, attention to detail, and communication skills. Note: Shift timings align with UK working hours. This role is based in Ahmedabad, but candidates from other cities or states are encouraged to apply, as remote or hybrid working options are available. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects, such as state-of-the-art trading platforms, seamless application migrations, and integrating real-time data analytics. With offices in London, California, and Ahmedabad, and operating in every time-zone, MSBC Group is your AI and automation partner.,

You will be responsible for overseeing the technical aspects of data governance within a manufacturing company, with a focus on power sector projects and boilers. Collaborating with cross-functional teams, you will establish and implement data governance policies and procedures for the corporate finance data lake. Furthermore, you will drive the development and maintenance of data governance frameworks, ensuring compliance with regulatory requirements and industry standards. Your main responsibilities will include developing and implementing data governance policies, standards, and procedures tailored to the specific needs of the manufacturing company's finance data lake initiative on Azure. You will work closely with cross-functional teams to define data quality metrics, monitor data quality, and establish processes for data cleansing and enrichment. Serving as the subject matter expert on data governance best practices, you will provide guidance and training to stakeholders across the organization. In addition, you will continuously assess and enhance data governance processes and controls, staying updated with industry trends and evolving regulatory requirements to ensure the success of the data governance journey in its early stages. Collaboration with IT teams to design and implement data architecture solutions that support efficient data governance and data management practices will also be part of your role. Qualifications we seek in you: - Minimum Qualifications/Skills: MCA/B.Tech - Preferred Qualifications/Skills: MCA/B.Tech This is a full-time Consultant position based in India-Hyderabad. The required education level is a Bachelor's degree or equivalent. The job posting date is Feb 6, 2025, and the unposting date is Aug 5, 2025. The primary skill set required for this role is Digital, and the job category is Full Time.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with the latest tools available in the market, you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems to help identify, analyze, and interpret trends or patterns in complex data sets. Using your expertise in data analytics, you will assist our clients to view data in context and make smarter business decisions to achieve improved products and services. We're looking for a Gig with expertise in Data & Analytics to join our dynamic Advisory DnA Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. **Role Overview:** As a STIBO MDM Specialist, you will play a critical role in implementing and managing STIBO Master Data Management (MDM) solutions. You will collaborate with cross-functional teams to ensure seamless data management, integration, and governance, enabling data consistency and accuracy across the organization. **Key Responsibilities:** **STIBO MDM Implementation:** - Lead the design, development, and deployment of STIBO MDM solutions. - Configure data models, workflows, and hierarchies to meet business requirements. **Data Quality and Governance:** - Define and implement data governance policies within the STIBO MDM framework. - Monitor and improve data quality by enforcing validation rules and workflows. **Integration and Mapping:** - Integrate STIBO MDM with enterprise applications (ERP, CRM, etc.) using APIs or middleware. - Ensure data mapping, transformation, and synchronization across systems. **Collaboration and Training:** - Work closely with business teams, data stewards, and IT teams to gather requirements and deliver solutions. - Provide training and support to end-users on the STIBO MDM platform. **Issue and Risk Management:** - Identify potential risks related to data inconsistencies or integration issues and propose mitigation strategies. - Troubleshoot and resolve technical issues in a timely manner. **Required Skills and Experience:** - In-depth knowledge and hands-on experience with the STIBO MDM platform, including configuration and implementation. - Strong understanding of data modeling, data integration, and master data workflows in STIBO. - Proficiency in integrating MDM with enterprise systems using APIs, ETL tools, or middleware. - Expertise in data governance, quality management, and validation techniques. - Strong problem-solving and analytical skills to address complex data challenges. - Excellent communication skills to engage with business and technical stakeholders. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around - Opportunities to develop new skills and progress your career - The freedom and flexibility to handle your role in a way that's right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You are a highly skilled Data Modeler with expertise in Iceberg and Snowflake, responsible for designing and optimizing data models for scalable and efficient data architectures. Working closely with cross-functional teams, you ensure data integrity, consistency, and performance across platforms. Your key responsibilities include designing and implementing robust data models tailored to meet business and technical requirements. Leveraging Starburst, Iceberg, and Snowflake, you build scalable and high-performance data architectures. You optimize query performance and ensure efficient data storage strategies. Collaboration with data engineering and BI teams is essential to define data requirements and align them with business objectives. Additionally, you conduct data profiling, analysis, and quality assessments to maintain data accuracy and reliability. Documenting and maintaining data lineage and governance processes is also part of your role. Keeping updated on emerging technologies and industry best practices for data modeling and analytics is crucial. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related field. - 5+ years of experience in data modeling, data architecture, and database design. - Hands-on expertise with Starburst, Iceberg, and Snowflake platforms. - Strong SQL skills and experience with ETL/ELT workflows. - Familiarity with data lakehouse architecture and modern data stack principles. - Knowledge of data governance, security, and compliance practices. - Excellent problem-solving and communication skills. Preferred Skills: - Experience with other BI and analytics tools like Tableau, Qlik Sense, or Power BI. - Knowledge of cloud platforms like AWS, Azure, or GCP. - Knowledge of Hadoop. - Familiarity with data virtualization and federation tools.,

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community Banking division, you will be responsible for leading various technical domains, overseeing the activities of multiple departments, and fostering cross-functional collaboration. Your technical expertise will be utilized across different teams to promote the adoption and implementation of advanced technical methods, helping the firm stay ahead of industry trends, best practices, and technological advancements. Leads multiple technology and process implementations across departments to achieve firmwide technology objectives. Directly manages multiple areas with strategic transactional focus. Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business. Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives. Manages multiple stakeholders, complex projects, and large cross-product collaborations. Influences peer leaders and senior stakeholders across the business, product, and technology teams. Champions the firm's culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. Proven experience in designing and developing large-scale data pipelines for batch & stream processing. Strong understanding of Data Warehousing, Data Lake, ETL processes, and Big Data technologies (e.g., Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc.). Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools. Excellent communication, presentation, and interpersonal skills. Experience developing or leading large or cross-functional teams of technologists. Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale. Experience leading complex projects supporting system design, testing, and operational stability. Experience with hiring, developing, and recognizing talent. Extensive practical cloud native experience. Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field. Preferred qualifications, capabilities, and skills include experience working at the code level and ability to be hands-on performing PoCs, code reviews. Experience in Data Modeling (ability to design Conceptual, Logical, and Physical Models, ERDs, and proficiency in data modeling software like ERwin). Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices. Strong understanding of Data Validation / Data Quality. Experience with supporting large-scale AI/ML Data requirements. Experience in Data visualization & BI tools is a huge plus.,

As a Senior Analyst - Procurement Digital Transformation at Kenvue, you will be a crucial part of our team based in Bangalore, reporting to the Senior Manager. Kenvue is a global company known for its iconic brands like NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS, and BAND-AID, with a dedicated team of 22,000 diverse individuals passionate about delivering the best products to our customers. Our focus is on leveraging science and care to impact the lives of millions every day. Your role will involve driving digital transformation initiatives within the procurement function, with a focus on enhancing data accuracy, automating processes, and optimizing procurement systems. The ideal candidate for this position is someone who is technically proficient, detail-oriented, and experienced in working with ERP systems, procurement technologies, and emerging tools. Your Responsibilities will include: - Executing data tasks, optimizing procurement processes, and supporting system integration efforts. - Managing procurement data across systems to ensure accuracy, quality, and compliance. - Supporting the configuration and maintenance of procurement platforms like ERP, Ariba, and data analytics tools. - Identifying automation opportunities, optimizing workflows, and enhancing data-driven processes within procurement. - Maintaining data governance standards and procedures for procurement systems. - Conducting data analysis, building dashboards, and generating insights for the procurement team using tools like SQL, Excel, and Power BI. - Providing technical support for ERP-related procurement tasks, including system testing and troubleshooting. What We Are Looking For: - Minimum 5 years of experience in procurement or supply chain with a focus on data management. - Bachelor's degree in computer science, Data Science, Supply Chain, or a related field. - Proficiency in SAP, Ariba, and other ERP systems. - Strong analytical skills with expertise in SQL, Power BI, and Excel. - Fluent in English with excellent written and verbal communication skills. - Hands-on experience with data governance practices and process optimization. In return, we offer you a Competitive Benefit Package, Paid Company Holidays, Paid Vacation, Volunteer Time, Learning & Development Opportunities, and more. Join us at Kenvue and be a part of shaping our future and yours.,

You should have a minimum of 5 to 10 years of experience in end to end Data Migration including Extraction, Reconciliation, and Data governance, with expertise in SAP. The selected candidate will be responsible for handling data migration processes efficiently and ensuring data governance principles are followed. This role requires a strong understanding of SAP systems and the ability to manage the entire data migration process from start to finish. If you meet these requirements and can join immediately, we would like to hear from you.,

As a Senior Architect - Data Modelling at Tiger Analytics, you will be instrumental in solving complex data management challenges to help organizations become more data-driven. Your role will involve transitioning between being an Individual Contributor, team member, and Architect as required by each project, with a focus on defining, designing, and delivering actionable insights. Your day-to-day responsibilities will include: - Leading the translation of business requirements into conceptual, logical, and physical Data models. - Designing data architectures to encompass the entire data lifecycle, including data organization, acquisition, storage, security, and visualization. - Advising clients on the best modelling approach based on their needs and target architecture. - Analyzing datasets, guiding the team in creating Source to Target Mapping and Data dictionaries, and generating insightful data profiles. - Defining Data Modelling Best Practices and ensuring their implementation across projects. - Optimizing Data Models, defining Ingestion logic, ingestion frequency, and data consumption patterns in collaboration with Data Engineers. - Ensuring adherence to data quality standards, data procedures, and driving automation in modelling activities. - Collaborating with various stakeholders to design and develop next-generation data platforms. - Providing technical expertise and support to troubleshoot and resolve data-related issues, mentoring team members, and collaborating on pre-sales Proof-of-Concepts. - Enabling data catalog and business glossary as per the process defined by the data governance team. Job Requirements: - Minimum 13 years of experience in the data space with hands-on experience in designing data architecture. - Proficiency in RDBMS systems (e.g., Oracle, DB2, SQL Server) and Data Modelling concepts like Relational, Dimensional, Data Vault Modelling. - Experience in developing data models for multiple business domains, OLTP, OLAP systems, Cloud DW, and cloud platforms (e.g., AWS, Azure, GCP). - Hands-on experience in Data Modelling Tools, ETL tools, data ingestion frameworks, NoSQL databases, and Big Data ecosystems. - Familiarity with Data Quality, Data Governance, Industry Data Models, agile methodology, and good communication skills. - Exposure to Python and contribution to proposals and RFPs will be an added advantage. At Tiger Analytics, we value diversity, inclusivity, and individual growth. We encourage you to apply even if you do not meet all the requirements today, as we believe in finding unique roles for every individual. We are an equal-opportunity employer committed to fostering a culture of listening, trust, respect, and personal development. Please note that the job designation and compensation will be based on your expertise and experience, with our compensation packages being highly competitive within the industry.,

Key Responsibilities: Design, develop, and implement Platform Performance Analytics solutions in ServiceNow. Configure data sources, indicators, breakdowns, and widgets in the PA module. Develop interactive dashboards, scorecards, and reports aligned to stakeholder needs. Optimize data collection jobs and ensure the accuracy and timeliness of analytics data. Work with process owners and business analysts to translate business goals into measurable KPIs. Maintain data governance standards and enforce best practices in analytics modelling. Support ongoing enhancement, troubleshooting, and optimization of existing PA solutions. Participate in sprint planning, code reviews, and agile ceremonies as part of a development team. Collaborate with integration teams for cross-platform data modelling (e.g., CMDB, Incident, Change). Provide mentorship to junior developers as needed. Required Skills & Experience: 5+ years in ServiceNow development, with 2+ years in Performance Analytics. Strong knowledge of ServiceNow PA components: indicators, time series, breakdowns, etc. Hands-on experience with JavaScript, Glide APIs, and ServiceNow REST APIs. Expertise in ServiceNow modules: ITSM, CMDB, and Incident/Change Management. Familiarity with data visualization and storytelling best practices. Certified Implementation Specialist Performance Analytics preferred. Desirable: ITIL v4 Foundation certification. Experience with ServiceNow Reporting, CMDB Health, or ITOM integrations. Background in data modelling, ETL, or BI platforms a plus.

Location: India (preferably Bangalore) Role dimension : The Wipro Privacy and AI Governance Team is a dynamic group committed to maintaining the highest standards in privacy, data protection, AI governance and ethics. We operate at the forefront of these critical fields, ensuring that our practices align with both legal standards and technological advancements. Job Summary: The incumbent will play a pivotal role in embodying our privacy and data protection strategies across the organisation. Your expertise will be critical in elevating the organisations privacy maturity, providing timely expert advice, enhancing internal procedures, flows and practices, enhancing team capabilities through training, and refining internal processes. You will serve as a trusted advisor, ensuring that our operations are compliant with legal requirements while leveraging technology effectively. You will also lead on transforming our privacy operations through streamlining, automation and efficiency. Key Responsibilities: Trusted Strategic Advisor : Lead the elevation of organizations privacy maturity and compliance posture, and act as the primary point of contact for privacy-related matters, providing expert guidance to various business units and stakeholders within the team and the wider organisation. Operations enhancement and automation : Direct the review and operationalization of policies, processes to ensure they are current, relevant, and effective in evaluating privacy and AI related risks. Identify opportunities for streamlining and automating existing pathways. Team Upskilling : Design and implement training programs that enhance the team's understanding of privacy and data protection, specifically within the context of artificial intelligence and new technologies. Process Improvement : Analyse existing internal processes and procedures related to privacy and data governance, identifying areas for improvement and leading initiatives for upgrade and compliance. Legal and Technology Integration : Serve as an innovative voice for the privacy function at the intersection of legal frameworks and technological developments, ensuring that our operations reflect both. Stakeholder Engagement : Collaborate with cross-functional teams to ensure privacy considerations are integrated into business strategies, product development, and operational practices. Monitoring and Compliance : Lead the development and implementation of privacy compliance initiatives, ensuring alignment with relevant regulations and frameworks. Qualifications: Proven experience in privacy and data protection roles in a senior capacity, whether as a privacy lawyer, head of privacy, senior risk professional or similar. Strong working knowledge of privacy laws and regulations, including GDPR, CCPA, PDPD and others relevant to our operational geographies. Experience in governance, risk management, and compliance within technology-driven environments, particularly relating to AI. Exceptional communication and interpersonal skills, with the ability to influence at all levels. Demonstrated ability to manage projects effectively and work collaboratively in a fast-paced environment. Advanced degree in law, information management, security or a related field is preferred.

Job Title: Salesforce CRM Project Manager Location: Hyderabad Word Mode: 6 Days from Office Role Overview We are seeking an experienced CRM Project Manager (Salesforce) to lead the planning, execution, and delivery of Salesforce CRM initiatives. This role involves managing cross-functional teams, overseeing integrations, ensuring timely project delivery, and aligning CRM solutions with organizational goals. The CRM Project Manager will serve as a bridge between business stakeholders and technical teams, ensuring the Salesforce ecosystem drives efficiency, scalability, and business value. Key Responsibilities The CRM Project Manager at NxtWave plays a critical role in managing Salesforce CRM projects and ensuring their successful adoption across the organization. Key responsibilities include: Strategic Planning & Implementation Project Planning: Define, scope, and manage Salesforce CRM projects from initiation to closure, ensuring alignment with business objectives. Performance Monitoring : Track project milestones, timelines, budgets, and resource allocation to ensure successful delivery. Integration Oversight : Coordinate with technical teams to manage Salesforce integrations with other business tools and applications. Process Optimization : Identify opportunities to enhance business processes using Salesforce capabilities. Solution Design & Ownership: Lead solution design sessions and take full ownership of end-to-end tasks, ensuring alignment with business needs and project goals. Data Management & Optimization Data Governance : Ensure data quality, security, and compliance within the Salesforce environment. Reporting & Insights : Oversee development of dashboards and reports that provide actionable business insights. Documentation : Maintain detailed records of project requirements, workflows, and system changes. Collaboration & Communication Stakeholder Management: Act as the primary point of contact for stakeholders, aligning expectations and communicating progress. Cross-Functional Leadership: Collaborate with sales, marketing, service, and IT teams to ensure project success. Training & Adoption: Support change management initiatives and user training to maximize Salesforce adoption. Continuous Improvement & Innovation Best Practices: Stay updated on Salesforce trends, tools, and best practices to continuously enhance CRM strategies. User Experience: Drive initiatives to improve usability and overall user experience within the Salesforce ecosystem. Qualities We Value Strategic Thinker: Ability to align CRM initiatives with broader business goals. Strong Leader: Demonstrated ability to lead cross-functional teams and manage stakeholders. Problem Solver: Proven skills in resolving project challenges and risks proactively. Adaptable: Comfortable managing multiple projects in a dynamic environment. Communicator: Excellent verbal and written communication skills for both technical and non-technical audiences. Proactive: Takes initiative in driving innovation and continuous improvement. Qualifications Education: Bachelors degree in Business Administration, Information Technology, or a related field (MBA preferred). Experience: Proven track record as a Project Manager with hands-on experience in Salesforce CRM projects. Certifications: Salesforce certifications (Administrator, Project Management Professional (PMP), or Agile/Scrum preferred). Skills: Strong knowledge of Salesforce functionalities, project lifecycle management, and change management. Interpersonal: Exceptional stakeholder management and leadership skills. Skills Foundational Skills Project Management: Strong ability to manage timelines, budgets, risks, and resources. Business Analysis: Skilled in translating business needs into technical requirements. Data Analysis: Ability to leverage Salesforce reporting tools for decision-making. Technical Skills Salesforce Expertise: Proficiency in Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, etc.). Integration Management: Experience in overseeing integrations with external applications. Technical Acumen: Ability to collaborate with developers, admins, and solution architects. Why Work with Us? Career Growth : Opportunity to grow your career by leading impactful Salesforce projects. Innovative Environment: Work with cutting-edge Salesforce solutions in a dynamic setting. Impactful Role: Contribute directly to business transformation and efficiency improvements. Collaborative Culture: Be part of an inclusive and supportive workplace environment. Additional Information Compensation: Competitive salary based on experience and qualifications. Work Location: Hyderabad Work Arrangement: Office. Work Schedule: 6 days a week. Let's Build Something Amazing Together! If you're passionate about Salesforce CRM and excited to lead transformative projects, we want to hear from you.

Skills Sets 7+ years of experience in Test Data Management, Data Governance, or Data Engineering. 3+ years of hands-on experience with Informatica Data Masking (TDM, ILM) tools. Strong hands-on experience with Informatica TDM (Test Data Management), ILM (Information Lifecycle Management), and Persistent Data Masking Knowledge of Informatica Data Engineering Integration (DEI), Informatica Data Quality (IDQ), PowerCenter for ETL integration with TDM Experience with static and dynamic data masking across RDBMS, files, and applications. Proficiency in data sub-setting, synthetic data generation, cloning, and archiving using Informatica tools Working knowledge of Informatica Developer, Metadata Manager, and Model Repository Service Strong understanding of RDBMS (Oracle, SQL Server, DB2, PostgreSQL, MySQL) and ability to write complex SQL queries. Proven track record of working with data privacy frameworks and compliance standards. Knowledge of ETL processes, data warehousing concepts, and data migration testing. Familiarity with cloud platforms (AWS, Azure, GCP) and data security in cloud environments is a plus. Mandatory Skills: Data Centric testing .Experience: 5-8 Years .>

The Data Operations Manager Financial Markets will lead and manage the daily operations of financial data sourcing, validation, enrichment, and distribution to support trading, research, and regulatory compliance. The role is critical to ensuring the integrity, accuracy, and timeliness of market data including macroeconomic indicators, financial statements, corporate actions, ratings, prices, and real-time feeds used across research and investment functions. Key Responsibilities: Data Management Market Coverage Oversee the acquisition and processing of financial data: equity, fixed income, derivatives, currencies, and commodities. Maintain and enforce data governance policies and best practices. Maintain clean, structured datasets aligned with internal taxonomies and industry classifications (e.g., GICS, ISIN, Bloomberg tickers). Daily Operations Workflow Oversight Monitor data pipelines and workflows to ensure timely execution and delivery. Manage a team responsible for sourcing, validating, and publishing data used in financial models, dashboards, and reports. Quality Control Automation Develop and implement SOPs for data entry, validation, reconciliation, and issue resolution. Monitor data accuracy and timeliness using dashboards and audit logs. Automate manual data workflows with the help of Technology Team to increase efficiency and reduce error rates. Process Optimization Strategic Planning Lead continuous improvement initiatives in operational processes, data delivery models, and vendor performance. Automate repetitive data operations tasks wherever possible. Identify opportunities to scale data operations with minimal cost and maximum reliability. Governance Compliance Ensure adherence to data licensing agreements and usage restrictions. Maintain audit trails for regulatory reporting and compliance checks (e.g., SEBI, RBI). Key Skills Strong understanding of financial markets, especially fixed income and commodities. Process-oriented with a focus on accuracy, timeliness, and compliance. Excellent organizational, stakeholder management, and communication skills. Qualifications: Bachelors or masters degree in Business, Economics, Commerce, Finance, or related field. 812 years of experience in data operations or market data management, preferably in capital markets or financial research. Prior experience managing mid-sized data teams and handling vendor relationships

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Network Operations - Utilities .Experience: 10 YEARS .

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: Data Governance . Experience: 5-8 Years .

Create, update, and maintain vendor master records in SAP /S4. Collaborate with procurement, finance, and compliance teams to ensure vendor data accuracy and completeness. Perform regular audits and data cleansing activities to maintain high-quality vendor master data. Resolve issues related to vendor data discrepancies and support timely payment processing. Ensure proper documentation and approvals for vendor creation and changes. Support Vendor cleanup projects with the business. Generate reports and metrics related to vendor master data quality and performance and report the same to the lead Required Skills & Qualifications: Bachelors / Master s degree Preferably experience working with SAP & vendor master data. Strong understanding of SAP modules MS Office Skills with expertise in Excel Experience with data governance, data quality and compliance standards. Excellent communication and problem-solving skills. Attention to detail and ability to manage multiple priorities. Error free & zero financial loss during job execution

Technical Support: Offer expert-level support for OneStream users, addressing technical issues and providing solutions in a timely manner . Troubleshooting: Diagnose and resolve technical problems related to OneStream, leveraging analytical skills and technical expertise to find effective solutions. Business Process Optimization: Analyze business processes and workflows, identifying opportunities for improvement and implementing solutions to enhance efficiency. Address ad-hoc financial reporting requests. Collaboration: Work closely with other IT team members, business analysts, and stakeholders to gather requirements, design solutions, and implement changes effectively. Project Management: Lead or participate in projects related to OneStream system improvements, including planning, execution, and monitoring. Compliance and Security: Maintain SOX ITGC compliance , ensure that the OneStream system adheres to organizational policies, regulatory requirements, and best practices for security and compliance. Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures to support ongoing operations and future enhancements. Essential requirements Education: Bachelor s degree in accounting, Finance or I nformation T echnology , Computer Science, or a related field. A masters degree or relevant certifications are advantageous . Experience: Minimum of 8 years of experience with OneStream or similar platforms is highly desirable Technical Skills: Proficiency in system configuration, troubleshooting, and performance optimization. Strong knowledge of SQL, scripting languages, and data management tools. Analytical Skills: Ability to analyze complex systems and processes, identify issues, and develop effective solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders. Team Collaboration: Proven ability to work collaboratively with cross-functional teams and stakeholders, fostering a cooperative work environment. Problem-Solving: Strong problem-solving skills, with the ability to think critically and creatively to address complex technical challenges. Attention to Detail: High level of attention to detail, ensuring accuracy and consistency in all tasks and deliverables. Knowledge of data governance, security protocols, and compliance standards. Adaptability: Flexibility to adapt to changing priorities, technologies, and business needs. Willingness to learn and grow in a dynamic environment. Proficiency in additional programming languages and data analysis tools.

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role as a Consultant Specialist you will be responsible for the below: Own the requirement gathering and data analysis issues and ensure its resolution by engaging appropriate teams. Leading the discovery of regulatory projects, work with all source system BA s and ensure the data journey is reported. Creation of Business requirement documents. Creation of Functional Scenario s for functional testing if required and with business teams support Create analysis of customer journeys and product functionality, mapping documents and provide inputs for TOR / Project Charter, Test Strategy, Implementation plan, Non-Functional Requirements. Coordinating with business teams to get sign-off for production deployment. Provide Post Production Support after Go-live in terms of addressing business queries. Ensure compliance to HSBC process, procedures, and controls Requirements Design and implement complex data models using advanced data modeling tools. Extensive experience in Data Management MDM, Dimension Data Modeling, Relational Data Model, Conceptual/Logical/Physical Design, ER Diagrams, and Forward and Reverse Engineering. Collaborate with cross-functional teams to gather and analyze data requirements. Develop and maintain data dictionaries and metadata repositories. Integrate data models with cloud-based data platforms and services. Automate data modeling tasks to enhance efficiency and accuracy. Knowledge of data warehousing and ETL processes Strong understanding of database design and architecture Experience in optimizing data models for performance and storage Experience with data integration models Proficiency in SQL and other database languages Knowledge of data governance and security measures Ability to analyze and interpret complex data sets Experience with Big Data technologies and platforms Strong problem-solving skills Excellent collaboration and communication skills Ability to develop and maintain data dictionaries and documentation Knowledge of Banking and Finance data models will be a plus

Bachelor s degree in Computer Science engineering / IT / Data Governance or equivalent; 9+ years in data platforms or DPI. Lead preparation of functional specifications, data governance frameworks, and DPI standards. Coordinate with state/national initiatives to ensure interoperability. Supervise teams and data partners during platform configuration and onboarding. Define institutional mechanisms for access, grievance redressal, and consent management .

At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation s K 8 students. For more than 50 years, our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has driven the continuous improvement of our innovative programs. Our team of more than 2,500 employees is composed of lifelong learners who stand behind this mission, working tirelessly to serve the educational community with world-class programs and support every day. Summary: The Privacy and Data Protection Counsel supports the Company s global operations and advises on data protection matters, including AI governance, with emphasis on U.S. laws. The Counsel will serve as the key point of contact on general data protection, privacy and security related matters, including the evolution and maintenance of the Company s global privacy program and compliance efforts. The Privacy and Data Protection Counsel protects the growing business, and the students and educators we serve, in proactively managing privacy regulations and risks internationally. Essential duties/responsibilities: Provides strategic legal guidance and counseling, on a broad spectrum of privacy and data protection issues, with an emphasis on student data privacy, including relevant U.S. federal and state laws, international laws, compliance obligations, AI, data privacy in contracts, etc. Supports the ongoing development and implementation of the Company s global data protection and privacy program in accordance with applicable laws and regulations. Partners closely with stakeholders and provides subject matter expertise, advice, and trainings related to data protection legal and compliance obligations. Assists with and monitors compliance with the Company s data protection and privacy policies, processes, and procedures. Raises awareness and helps create and deliver effective training and guidance to teams across the Company to promote best practices and drive a data protection and privacy-oriented culture. Assists with data governance and compliance efforts, such as preparing and overseeing Data Protection Impact Assessments (DPIAs), Data Sharing Agreements (DSAs), and other data protection and privacy compliance documentation. Provides subject matter expertise advice and support on the Company s AI governance and compliance efforts in accordance with relevant regulations and best practices. Advises on appropriate technical and organizational measures to protect and safeguard personal data, with an emphasis on student data. Supports customer conversations as they apply to data protection, privacy and AI and assists with Company vendor contract diligence. Support the business and assist with other compliance matters and legal functions on an as needed, reasonable basis. Required Job Skills and Abilities: Comprehensive knowledge of global data protection and privacy laws, with strong emphasis on U.S. state and federal student data privacy laws and best practices. Expertise in advising on complex data protection and privacy matters, particularly related to FERPA, COPPA, GDPR, etc. Ability to work cross-functionally with lawyers and non-lawyers, to establish effective solutions efficiently and in an amenable manner; Builds trust, emphasized collaboration and communication, and serves as a connector between business and legal; Translate legal advice into actionable guidance for stakeholders, often in line with prescribed timelines; Ability to apply risk-balanced, practical legal guidance to complex data protection and privacy questions, creative problem-solving and solution-finding skills, and agility and flexibility in an evolving and ever-changing environment; Superior analytical and research skills to complete assigned tasks and navigate challenging matters; Maintains confidentiality to the utmost degree; Takes independent action and calculated risks while asking for help as needed; Balances team and individual responsibilities while contributing to a positive working environment. Required Education and Experience: LLB or Juris Doctor from an accredited law school, Enrollment with a State Bar Council under the Bar Council of India and/or passing the All-India Bar Examination, and/or member of the bar in good standing in at least one U.S. jurisdiction Five years of global data protection and privacy experience in a law firm or in-house position; Familiarity and experience with advising on student data and Ed Tech matters. Working Environment: Hybrid (Atleast 3 days in Office)

" Job Title: Senior Business Analyst Open Finance Job Location: Bangalore Overview: We are seeking a Senior Business Analyst with strong expertise in Open Banking \/ Open Finance and proven experience in Agile delivery to join our team. This role will be instrumental in defining, analysing, and delivering business and technical requirements that support regulatory-driven Open Finance initiatives across the UAE (Nebras platform, Trust Framework, Consent Management, API Hub) and Bahrain (CBB Open Banking framework, Sandbox, fintech ecosystem) . You will work closely with the Proxy Product Owner, technology teams, compliance, and external partners to ensure the timely delivery of high-quality user stories, aligned to regulatory expectations and customer needs. Key Responsibilities: Requirements Elicitation & Analysis: Engage with stakeholders (regulators, banks, fintechs, internal teams) to capture business and technical requirements. Translate Open Finance regulatory guidelines (UAE CBUAE 2024 regulation; Bahrain CBB Open Banking directives) into detailed, testable user stories. Identify gaps, dependencies, and constraints across business and technology landscapes. Backlog & Agile Delivery: Collaborate with the Proxy Product Owner to refine and prioritize the product backlog. Write epics, user stories, and acceptance criteria following Agile best practices. Support sprint planning, backlog grooming, daily stand-ups, and retrospectives. Ensure traceability between regulatory requirements, backlog items, and delivered functionality. Process & Journey Mapping: Document as-is and to-be business processes for Open Finance use cases such as: Account aggregation Payment initiation Embedded lending and wealth services Consent and data-sharing flows Develop wireframes, mock-ups, and data flow diagrams to support technical design. Regulatory & Compliance Alignment: Work with compliance\/legal to interpret and embed regulatory requirements (e.g., consent handling, digital certificates, customer dispute resolution). Validate alignment of delivered functionality with Central Bank mandates in UAE and Bahrain. Stakeholder Collaboration: Act as the bridge between business stakeholders and technology delivery teams. Facilitate workshops, sprint reviews, and showcase sessions with internal and external partners. Testing & Validation: Define acceptance criteria and support UAT, ensuring features meet business and regulatory expectations. Work closely with QA to validate APIs, consent flows, and integrations in sandbox and production environments. Required Qualifications: Experience : 8+ years in Business Analysis, with at least 3 years in Open Banking \/ Open Finance within GCC markets (UAE or Bahrain strongly preferred). Domain Knowledge : Strong understanding of: UAE Nebras Open Finance platform, API Hub, Trust Framework, Consent Management, phased regulatory rollout. Bahrain CBB Open Banking framework, regulatory sandbox, early-mover fintech ecosystem (e.g., Tarabut Gateway, Fintech Galaxy). Agile : Hands-on experience in Agile delivery (Scrum, Kanban) writing user stories, acceptance criteria, and supporting sprint ceremonies. Technical Acumen : Familiarity with APIs, JSON, developer portals, consent\/identity flows, and regulatory sandboxes. Tools : Experience with Agile tooling (e.g., azure, Confluence, Miro, Figma). Communication : Excellent facilitation, documentation, and stakeholder management skills. Education : Bachelordegree in business, Finance, IT, or related field. Agile\/BA certifications (e.g., CBAP, CSPO, PSM, SAFe BA) preferred. Prior experience working directly with regulators or central bank initiatives in the region. Exposure to digital identity frameworks (e-KYC, UAE Pass, or equivalent GCC initiatives) . Knowledge of embedded finance and adjacent services (insurance, wealth, BNPL, cross-border payments). Strong understanding of data governance, customer consent, and security protocols in financial services.

Responsibilities: Design and build scalable and secure data systems. Collaborate with teams to define data strategy and architecture. Develop processes for data integration and analytics. Ensure compliance with data governance and security standards. Requirements: Proven experience as a Data Architect or similar role. Expertise in database design, data warehousing, and data modeling. Strong coding skills in Python, SQL, and familiarity with big data tools. Experience with cloud platforms (AWS, Azure).

About this opportunity: Join Ericsson as a Data Scientist. This position plays a crucial role in the development of Python-based solutions, their deployment within a Kubernetes-based environment, and ensuring the smooth data flow for our machine learning and data science initiatives. The ideal candidate will possess a strong foundation in Python programming, hands-on experience with ElasticSearch, Logstash, and Kibana (ELK), a solid grasp of fundamental Spark concepts, and familiarity with visualization tools such as Grafana and Kibana. Furthermore, a background in ML Ops and expertise in both machine learning model development and deployment will be highly advantageous. What you will do: Python Development: Write clean, efficient and maintainable Python code to support data engineering tasks including collection, transformation and integration with ML models. Data Pipeline Development: Design, build and maintain robust data pipelines to gather, process and transform data from multiple sources into formats suitable for ML and analytics, leveraging ELK, Python and other leading technologies. Spark Knowledge: Apply core Spark concepts for distributed data processing where required, and optimize workflows for performance and scalability. ELK Integration: Implement ElasticSearch, Logstash and Kibana for data ingestion, indexing, search and real-time visualization. Knowledge of OpenSearch and related tooling is beneficial. Dashboards and Visualization: Create and manage Grafana and Kibana dashboards to deliver real-time insights into application and data performance. Model Deployment and Monitoring: Deploy machine learning models and implement monitoring solutions to track model performance, drift, and health. Data Quality and Governance: Implement data quality checks and data governance practices to ensure data accuracy, consistency, and compliance with data privacy regulations. MLOps (Added Advantage): Contribute to the implementation of MLOps practices, including model deployment, monitoring, and automation of machine learning workflows. Documentation: Maintain clear and comprehensive documentation for data engineering processes, ELK configurations, machine learning models, visualizations, and deployments. The skills you bring: Core Skills: Strong Python programming skills, experience building data pipelines, and knowledge of ELK stack (ElasticSearch, Logstash, Kibana). Distributed Processing: Familiarity with Spark fundamentals and when to leverage distributed processing for large datasets. Cloud & Containerization: Practical experience deploying applications and services on Kubernetes. Familiarity with Docker and container best practices. Monitoring & Visualization: Hands-on experience creating dashboards and alerts with Grafana and Kibana. ML & MLOps: Experience collaborating on ML model development, and deploying and monitoring ML models in production; knowledge of model monitoring, drift detection and CI/CD for ML is a plus. Experience criteria is 9 to 14years Primary country and city: India (IN) || Bangalore Req ID: 772044

We are looking for a detail-oriented and analytical BI Engineer to join our data team. The ideal candidate will have a strong background in SQL, data visualization tools like Looker, Superset, Tableau, and MicroStrategy, and experience working with cloud platforms such as GCP and AWS. You will be responsible for transforming raw data into actionable insights and building scalable BI solutions to support data-driven decision-making across the organization. Key Responsibilities: Design, develop, and maintain interactive dashboards and reports using Looker, Superset, Tableau, and MicroStrategy. Write complex and optimized SQL queries to extract, transform, and analyze data from various sources. Collaborate with stakeholders to gather requirements and translate business needs into technical specifications. Build and maintain data models and semantic layers to support self-service BI. Ensure data accuracy, consistency, and performance across all BI platforms. Work with data engineers and analysts to integrate data from multiple sources into cloud data warehouses (e.g., BigQuery, Redshift, Snowflake). Implement best practices for data visualization, dashboard design, and user experience. Monitor BI tools and troubleshoot issues related to data quality, performance, and access. Required Skills: Proficiency in SQL and experience with large-scale data sets. Hands-on experience with at least two of the following BI tools: Looker , Superset , Tableau , MicroStrategy . MicroStrategy is a must Strong understanding of data modeling , ETL processes , and data warehousing . Experience working with cloud platforms, especially Google Cloud Platform (GCP) and Amazon Web Services (AWS) . Familiarity with version control systems (e.g., Git) and agile development practices. Excellent problem-solving skills and attention to detail. Impact Youll Make: Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. Experience with scripting languages like Python or R for data analysis. Knowledge of data governance , security , and compliance in BI environments. Exposure to CI/CD pipelines and DevOps practices for BI deployments. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Developer, Data Development