4996 Data Governance Jobs - Page 37

As a Data professional, your primary responsibility will be to analyze both structured and unstructured data to extract valuable insights that drive informed decision-making and support strategic planning. By leveraging data effectively, you will contribute to enhancing business outcomes and operational efficiency. Collaborating closely with the Data Engineering team, you will play a key role in designing and implementing data models, pipelines, and storage solutions. It is essential to establish and uphold data architecture standards and best practices to ensure consistency and reliability across various data systems. Optimizing data systems for performance, scalability, and security will be crucial for managing increasing data volumes while maintaining data integrity and safeguarding data. Your role will also involve engaging with different business units to comprehend their data requirements and align them with appropriate architectural solutions. Acting as a bridge between technical teams and business users, you will facilitate effective communication and collaboration to ensure that data solutions meet the needs and goals of the organization. Implementing robust data governance practices to uphold data accuracy, consistency, and security will be a critical aspect of your role. Proactively identifying and resolving data quality issues are imperative to prevent data-related challenges and ensure reliable data for analysis and reporting purposes. In terms of qualifications, a Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field will provide you with the foundational knowledge required for this position. With at least 6 years of experience in roles such as Data Analyst or Data Architect, you will bring the necessary expertise to manage complex data tasks effectively. Proficiency in SQL, data modeling, architecture design, and analytics tools is essential, along with experience in cloud platforms like AWS or Azure and data warehouse solutions such as Redshift or Snowflake. Familiarity with data governance frameworks and tools will also be vital for implementing effective data governance practices.,

You will be responsible for defining, contributing, and implementing the Enterprise Data Quality Strategy. Leading proof-of-concept (POC) and pilot projects to evaluate product suitability and make recommendations for product selection and implementation will be a key part of your role. Understanding business needs, identifying pain points, and translating them into prioritized requirements for SaaS implementation is essential. In this position, you will develop product roadmaps and blueprints, evaluate and adopt platform enhancements for continuous improvement and optimal performance. Your responsibilities will include leading the implementation and support of data quality solutions, collaborating with various teams to ensure alignment with organizational data policies. You will also be responsible for integrating the data quality platform with the rest of the Enterprise Data products, platforms, and application teams. Working closely with teams, vendors, and monitoring progress while addressing any arising issues will be crucial. Identifying potential risks throughout the process and developing mitigation strategies, managing the transition process to the new system, and building and maintaining strong relationships with key stakeholders are also part of your duties. You will support the design and implementation of data quality management frameworks to measure data quality and correct data quality issues, standardize data formats and values for consistency across systems. Developing and implementing data quality metrics and KPIs to monitor and report on data quality, conducting regular data quality assessments, and ensuring that data validation processes and control standards are applied to data applications are essential tasks. The ideal candidate will have a Master's degree in computer science, Data Science, Information Management, or a related technical field with a minimum of 5 years of relevant experience, or a Bachelor's degree with a minimum of 7 years of relevant experience. Strong communication and interpersonal skills, experience in implementing enterprise-level SaaS/PaaS solutions/frameworks, a solid understanding of data governance and data quality concepts, and technology management principles are required. Additionally, the candidate should possess product management expertise, problem-solving abilities, adaptability, flexibility, and the ability to build relationships and trust with clients. Experience in Agile/SAFe/Scrum, global delivery models, evaluating multiple technologies, knowledge of data quality standards, practices, and methodologies, as well as relevant certifications in related fields are preferred qualifications. This role offers a two-year term appointment for selected external candidates.,

We are looking for a highly experienced and visionary Data Analyst Architect to lead our data analytics team. You should possess a deep understanding of data systems, extensive experience in analytics architecture, and proven leadership skills. Your role will involve designing and optimizing data solutions, providing technical guidance, and managing a team to deliver impactful data-driven projects. Your responsibilities will include designing scalable and efficient data architectures to support analytics and business intelligence needs. You will establish and maintain data governance standards to ensure data quality, security, and compliance. Additionally, you will lead the development of actionable insights from complex datasets, collaborate with stakeholders to translate business goals into data-driven solutions, and manage, mentor, and inspire a team of data analysts and engineers. In terms of technology and tools, you should stay updated with emerging trends in data analytics and architecture. You will guide the adoption of modern tools such as Power BI, Tableau, Apache Spark, Snowflake, AWS, and Azure to enhance analytics capabilities. Project management skills are essential as you oversee end-to-end project lifecycles, identify risks, and develop mitigation strategies to ensure timely and quality deliverables. Collaboration with cross-functional teams to align analytics architecture with organizational strategies is key. You will present findings and recommendations to executives and other stakeholders. The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field with a minimum of 10+ years of experience in data analytics, architecture, and team leadership. Technical skills required include expertise in data modeling, ETL processes, database design, proficiency in SQL, Python, R, and other analytical tools, experience with big data technologies such as Hadoop, Spark, and Kafka, and a strong understanding of data visualization platforms like Tableau, Power BI, and Looker. Familiarity with cloud platforms and services like AWS, Azure, GCP, machine learning frameworks, and predictive analytics is also desired. Leadership skills, problem-solving abilities, and certifications in data analytics or cloud platforms are preferred qualifications. Experience in implementing data governance frameworks, knowledge of agile methodologies and tools like Jira and Confluence, and contributions to open-source projects or a portfolio of analytics solutions will be advantageous.,

As a member of the Global Financial Crimes Governance team at FIS, your role will involve supporting the technology and data governance function of the Financial Crimes program. You will work closely with the Senior Director of the program to establish a robust tech and data governance culture and assist in various system implementations across Global Financial Crimes Compliance. The Global Financial Crimes Governance team oversees the Financial Crimes Compliance function across FIS, including its subsidiaries and affiliates. Your key responsibilities will include Policy and Program Governance, Risk Assessments, Exam and Issue Management, Committees and Forums, Training, Technology Governance, and Reporting for all matters impacting Financial Crimes. Additionally, you will play a crucial role in collaborating with AML and Sanctions officers of FIS's subsidiaries and other Risk and Compliance functions within the Legal, Compliance & Corporate Affairs division at FIS. Your main tasks will involve designing, evolving, and scaling the data governance framework, documenting data governance workflows, standards, guidelines, taxonomies, and operating procedures. You will be responsible for implementing and maintaining data governance policies and procedures to ensure compliance with regulatory requirements. Additionally, you will develop and optimize complex SQL queries to extract, manipulate, and analyze large volumes of financial data to ensure data accuracy and integrity. Collaboration with cross-functional teams of Business Subject Matter Experts (SMEs), Business Data Stewards, and Technical Data Stewards will be essential to establish and enforce data quality standards, metadata management, and data stewardship. You will also contribute to the development and maintenance of master data management processes to ensure consistency and accuracy of critical data elements. Moreover, you will generate regular reporting on Financial Crimes Data Governance KPIs, metrics, and activities, monitor and communicate regulatory changes impacting data governance for FIS products, services, and business activities. Performing periodic reviews and evaluations of FIS products, services, and business activities to validate compliance with applicable laws and regulations will also be part of your responsibilities. To be successful in this role, you should possess a Bachelor's or Master's degree in a relevant field, along with at least five years of experience in the regulatory compliance field. Proven experience as a Data Analyst in the financial services industry, particularly focusing on Financial Crimes Compliance, is required. Proficiency in SQL, data analysis tools, and experience with data governance practices are essential. Excellent analytical, problem-solving, communication, and collaboration skills are also necessary. In return, FIS offers a flexible and creative work environment, diverse and collaborative atmosphere, professional and personal development resources, opportunities to volunteer and support charities, competitive salary, and benefits.,

As a Senior SAP Analytics Consultant at Sundew, a company with 18 years of expertise in Digital Transformation, you will be responsible for providing technical leadership in SAP Datasphere, S/4HANA embedded analytics, and SAP Analytics Cloud (SAC). Your role will involve architecting complex SAP Datasphere implementations, overseeing solution design, and optimizing enterprise-scale semantic models. You will lead requirements gathering sessions with executive stakeholders, mentor junior consultants, and stay updated on the latest innovations in SAP Datasphere and data analytics. To be successful in this role, you should have 5-8 years of progressive experience in SAP Analytics, Business Intelligence, or Data Warehousing, along with at least one full lifecycle implementation of SAP Datasphere. Advanced knowledge of data integration approaches with SAP tools, expertise in creating and optimizing Datasphere components, and strong experience in SQL and data modeling practices are essential. Additionally, experience with SAP BW/4HANA, S/4HANA Analytics, and CDS Views is required. Preferred qualifications include experience with Databricks integration, proficiency in Python or PySpark, and expertise in deploying SAP analytics solutions on cloud platforms. You should also have knowledge of data governance frameworks, experience with agile implementation methodologies, and familiarity with non-SAP visualization tools. Joining Sundew offers you the opportunity to work in a rapidly expanding organization at the forefront of digital transformation. You will have a remote work environment, opportunities for growth in an emerging domain, and a collaborative team culture where your ideas are valued. A competitive compensation package with performance-based incentives is provided to reward excellence and drive measurable results. If you are curious, creative, and eager to learn in the realm of generative AI, this is your chance to grow with a company that is shaping the future of digital innovation.,

You will be part of a dynamic and innovative company specializing in data-driven solutions with a mission to empower businesses with actionable insights derived from their data. Collaboration, creativity, and a commitment to excellence are highly valued, fostering a culture that encourages continuous learning and growth. Providing top-notch services to clients while maintaining a supportive and inclusive work environment is a key focus. Your responsibilities will include developing and implementing data models to extract insights and support business decisions, utilizing Snowflake for managing and optimizing data storage and retrieval processes, analyzing large datasets to identify trends and anomalies, collaborating with cross-functional teams to understand data-related needs, creating data visualizations to effectively communicate findings, conducting statistical analysis and predictive modeling using Python, designing and executing ETL processes for data quality and integrity, maintaining documentation of data workflows and analyses, providing mentorship to junior data team members, staying current with industry trends and best practices in data science, identifying opportunities for process improvements in data management, assisting in creating reports for stakeholders based on data analysis, implementing machine learning algorithms for data prediction accuracy, working with data engineers to build and maintain data pipelines, and ensuring compliance with data governance and security policies. Qualifications for this role include a Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, with 5+ years of experience in data science or related roles. Expertise in Snowflake and SQL for data manipulation, experience with Python for data analysis and modeling, hands-on experience with machine learning techniques, knowledge of data visualization tools (e.g., Tableau, Power BI), familiarity with ETL tools and processes, strong analytical and problem-solving skills, excellent communication skills, ability to work collaboratively in a team-oriented environment, knowledge of statistical methods and tools, experience with cloud data warehousing solutions, ability to manage multiple projects and deadlines effectively, self-motivated with a passion for continuous learning, and understanding of data governance and compliance issues are required. Skills required for this role include SQL, ETL, data visualization, statistical analysis, Python, Snowflake, cloud data warehousing, machine learning, data analysis, SQL proficiency, statistical modeling, data governance, and compliance.,

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 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.,

In this role, your responsibilities will include designing and developing digital analytics data collection requirements, analyzing data for data quality issues, conducting cross-partner QA both pre- and post-launch to ensure accurate data flows into Adobe Analytics and Adobe Target. You will be building a robust data architecture that maps business requirements to specific variables (eVars, props, and events) and conducting collaborator interviews to identify data and analytics needs for the organization. Moreover, you will manage the analytics technology roadmap, work with the business and other key collaborators to understand requirements, act as a liaison between the Business and IT, and ensure analytics technology requests are completed within a reasonable timeframe and to a high degree of quality. You are expected to have expert knowledge of Adobe Analytics and Adobe Target products, a good understanding of creating reports, implementing data collection through Adobe Tags, and testing and debugging tags manually and/or by using debugging tools such as Observe point or Omnibus. Additionally, you will conduct forensic analysis, stay ahead of issues and trends in online marketing with a focus on analytics, interact comfortably with various levels of management, lead multi-functional teams, and work with business leaders in Marketing, Digital Business, and Analytics to achieve results. You will provide oversight, coaching, and mentoring for an internal implementation team and 3rd party vendor partners, recommend data governance models, and ensure data quality, consistency, and compliance. To be successful in this role, you will need a 4-year Bachelor's Degree in Mathematics, Statistics, MIS, Business, or other relevant fields, along with 2 or more years of digital analytics or technology experience providing leadership in the digital analytics domain and related technology. Hands-on experience in designing and handling data collection for Adobe Analytics, Adobe Target, and Adobe Tags is a must, as well as deep technical expertise in the Adobe Suite, specifically the Adobe Experience Cloud. You should also be an expert in solution design, architecture, implementation, and QA processes related to tagging requirements and tag management across partners. Preferred qualifications that set you apart include demonstrable experience in the technical implementation of Adobe Tags, Adobe Analytics, Adobe Target platforms and programs, with ACE certification strongly preferred. At Emerson, the workplace prioritizes valuing, respecting, and empowering every employee to grow. The culture encourages innovation, collaboration, and diverse perspectives, recognizing that great ideas come from great teams. Continuous career development, an inclusive culture, mentorship, training, and leadership opportunities are provided to support your success. Competitive benefits plans, medical insurance, Employee Assistance Program, employee resource groups, paid parental leave, vacation, holiday leave, and flexible time off plans contribute to employee wellbeing. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably and improve productivity, energy security, and reliability. The company offers equitable opportunities, celebrates diversity, embraces challenges, and believes in making an impact across various countries and industries. If you have a disability and require assistance in applying for a position at Emerson, please contact idisability.administrator@emerson.com.,

ANSR is hiring for one of its clients. ArcelorMittal, formed in 2006 from the merger of European company Arcelor and Indian-owned Mittal Steel, is a global leader in the steel and mining industry with operations in over 60 countries and a significant industrial footprint in 18 countries. With a workforce of 158,000+ individuals, ArcelorMittal is committed to producing smarter low-carbon steel and leading transformative change through innovation and sustainability. The company supplies various global markets, including automotive, construction, household appliances, and packaging, supported by robust R&D and distribution networks. In India, ArcelorMittal Global Business and Technologies is a hub of technological innovation and business solutions, fostering a culture of entrepreneurial spirit, excellence, and growth for its team members. The company offers flexible career pathways, access to cutting-edge technology, and a dynamic work environment filled with exciting challenges. Position: Assistant Team Lead - Visualization Maintenance Specialist (Power BI & Tableau) Department: D&IT Data Reports To: BAU Head Employment Type: Full-time Role Summary: The Assistant Team Lead - Visualization Maintenance Specialist is responsible for managing and maintaining business intelligence solutions developed in Power BI and Tableau. This role ensures the reliability, performance, and accuracy of dashboards and reports critical for business decision-making. Working closely with business users, BI developers, and data platform teams, the Specialist supports visualizations across departments, ensuring data availability, security, and version control. Key Responsibilities: - Lead and mentor a cross-functional team, driving planning, resource allocation, and workload prioritization. - Monitor scheduled data refreshes and troubleshoot issues with dashboards in Power BI and Tableau environments. - Validate data source connections, collaborate with data engineering teams, and maintain extracts and shared datasets. - Provide user support, manage permissions, and act as a liaison between end-users and technical teams. - Maintain documentation, support governance, and enforce best practices for dashboards and reports. Qualifications: - Bachelor's degree in Information Systems, Business Intelligence, or related field. - 6 to 8 years of experience in BI support or visualization maintenance. - Proficiency in Power BI and Tableau, strong data modeling skills, and familiarity with SQL. - Experience with data integration tools and enterprise-scale reporting environments is preferred. What We Offer: - Key role in data-driven decision-making. - Access to industry-leading BI tools and modern data platforms. - Competitive compensation, training, and development opportunities. - Collaborative team environment with cross-department visibility.,

As the IS DevOps & Data Quality Engineer at ABB, you will play a crucial role in designing, developing, and maintaining robust data solutions and automated workflows to enhance insights into data quality. Your primary focus will be to ensure consistency between source and target systems, optimizing data processes within the A3 platform to guarantee accuracy, completeness, and reliability of data. Collaborating closely with source teams, architects, and developers, you will establish, monitor, and improve data quality standards. Your responsibilities will include designing, developing, and optimizing SQL queries and database solutions, as well as working extensively with Snowflake for data warehousing and cloud-based data solutions. You will also be responsible for developing and integrating data pipelines using Azure Data Factory (ADF) and implementing API-based integrations for seamless data flow across systems. In this role, you will automate data processes and workflows to enhance efficiency and reduce manual efforts. Additionally, you will ensure data quality reporting, identify anomalies, maintain high data integrity, and explore AI-driven solutions for data analysis and automation. Troubleshooting issues related to data pipelines and automation processes will be part of your responsibilities, requiring close collaboration with cross-functional teams including data analysts, engineers, and business stakeholders. To qualify for this role, you should hold a Bachelor's or Master's degree in fields such as Computer Science, Business Administration, Information Systems, or Business Analytics. Proficiency in developing custom automation tools and applications using C# and Python, along with extensive experience in Data Integration, Solution Architecture, Software development, Data Governance, and Quality Assurance is essential. Strong skills in DevOps, Azure Solutions Architect, SQL, Snowflake, ADF, Monitoring Tools, and Data Ingestion Metrics are also required. Your ability to collaborate cross-functionally, drive continuous improvement, and automate processes will be crucial in this position. Join us at ABB and be part of a team dedicated to addressing global challenges, driven by core values of care, courage, curiosity, and collaboration. Together, let's empower everyone to create sustainable solutions and write the next chapter of your ABB story.,

As a Systems Analyst II at FC Global Services India LLP, you will play a vital role in the technology team, collaborating closely with Tax professionals to understand their requirements and develop robust and scalable software solutions. Your responsibilities will include leading analytic efforts, providing strategic insights, and serving as a technical expert for business systems within the bank. You will be involved in developing advanced solutions to resolve process issues, conducting data analysis at an advanced level, identifying system requirements, enabling strategic insight through reporting, and providing expert technical support for systems. To excel in this role, you should possess a Bachelor's degree in Business Accounting with 5 or more years of experience in Systems Support or Analytics. Knowledge or experience in financial applications, including Tax, is essential. Proficiency in developing MS Excel Macros, using MS Visual Basic for automation, and experience with Alteryx workflow and Jira will be advantageous. Strong analytical and critical thinking skills, problem-solving abilities, and expertise in SQL are required. Your collaborative skills will be crucial as you work closely with members of the larger technology team, reporting managers, and other team members. Additionally, your excellent verbal and written communication skills will be beneficial in engaging with business partners and stakeholders effectively. If you require accommodations during the hiring process, such as for application, interviews, or onboarding, please inform us, and we will ensure a seamless experience. We are dedicated to providing an inclusive and accessible hiring process. Join us at FC Global Services India LLP and be part of a team that is committed to delivering value and managing risks for our lines of business, supporting the continued build-out of corporate function applications at First Citizens Bank.,

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. EY's Data n Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics, and Automation. The assignments cover a wide range of countries and industry sectors. We're looking for a Manager - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying, and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers, and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting-edge tools and platforms for both on-prem and cloud architectures. In this role, you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your key responsibilities include evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management, and warehouse administration for both on-prem and cloud-based engagements. You should have a strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit, and design. Experience in design documentation, providing technical leadership to a team of data warehouse and business intelligence developers, coordinating with other technology users, and adhering to ETL/Data Warehouse development Best Practices is essential. To qualify for the role, you must have a Bachelor's or equivalent degree in computer science, or a related field, required. An advanced degree or equivalent business experience is preferred. You should be fact-driven and analytically minded with excellent attention to details and have relevant work experience of minimum 9 to 11 years in a big 4 or technology/consulting setup. Ideally, you'll also have the ability to think strategically/end-to-end with a result-oriented mindset, build rapport within the firm and win the trust of the clients, willingness to travel extensively and to work on client sites/practice office locations, and experience with Snowflake. What we look for in candidates is a team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries. Working at EY offers 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 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.,

Offshore - L3 - Data Governance Required Skills

1. Data Analysis and Reporting: Collect, clean, and analyze large datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Present findings and recommendations to stakeholders through clear and concise visualizations. 2.SQL Programming: Write and optimize complex SQL queries to extract and manipulate data from various databases. Develop and maintain SQL scripts, stored procedures, and triggers to support data processing and analysis. Ensure the accuracy, integrity, and security of data. 3.Collaboration and Communication: Work closely with business stakeholders to understand their data needs and requirements. Collaborate with IT and data engineering teams to ensure data availability and reliability. Communicate technical information to non-technical stakeholders in an understandable manner. 4.Data Quality and Governance: Implement and maintain data quality checks to ensure the accuracy and consistency of data. Adhere to data governance policies and procedures to ensure compliance with company standards. 5.Continuous Improvement: Stay updated with the latest trends and technologies in data analysis and SQL programming. Identify opportunities for process improvement and implement best practices in data management.

Understanding business objectives and developing models and the system that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the Deep Learning, ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Demonstrable history of devising and overseeing data-centred projects Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies, feature engineering & data augmentation pipelines to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Ability to relay insights in layman s terms, such that these can be used to inform business decisions. Collaborate with cross-functional teams, including SAP & Application team, customers to define requirements and implement AI solutions. Establish and enforce data governance standards & implement best practices for data privacy and protection in AI applications Qualifications and Education Requirements: Bachelor s/Master s degree in computer science, data science, mathematics or a related field. At least 6-8 years experience in building Al/ML applications

Build, test and deploy reliable and scalable pipelines which can be leveraged in order to ingest, process and structure financial data. Work collaboratively with Finance DAO in order to design logical data models capable of focusing on higher level business concepts. Build, test and deploy the corresponding physical data models required in order to embed the required business level concepts into systemic solutions Implement robust data quality frameworks which allow for the validation of accuracy, completeness and consistency of financial data from a range of disparate source systems Support data governance initiatives by ensuring that internally defined standards with respective to metadata are being adhered to Leverage a combination of tooling in order to establish lineage across multiple systems in relation to a number of different Finance reports. Responsible for maintaining an ongoing relationship with the demand requestors - customers / stakeholders Where required raises and escalates issues with the quality, timing or other issues relating to the requirements raised that may impact the effectiveness of delivery Setup and maintain a suitable repository(s) for control of project artefacts Accountable for the maintenance of project artefacts, ensuring they are reflective of the project at all times Proactive communication of project progress, ensuring stakeholders are suitably informed Engages and supports the VS delivery pod, holding them to account for committed deliver, motivating and supporting through the removal of roadblocks as required Requirements 5-8+ years of experience working with data in a financial context Strong proficiency in SQL with exposure to other programming languages such as Python Experience building out ETL leveraging internal frameworks such as EMF in order to conform unstructured data to a standard output data model Hands on experience with cloud-based data platforms, particular GCP (Google Cloud Platform) Understanding of data warehousing concepts, dimensional modelling and data lake architectures Knowledge of overall financial services industry with specific functional experience in Finance Strong understanding of financial data concepts including familiarity with General Ledger, P&L and regulatory data Awareness of financial standards and compliance frameworks including SOX and BCBS 239. Working knowledge of key financial processes including how they impact data. Examples of this would include, but not be limited to, RWA and Liquidity reporting Highly proactive and able to work independently Excellent interpersonal communication skills to discuss technical, functional requirement and coordinating on various deliverables with senior business, change team, Operations stake holders Proven ability to work collaboratively with a number of cross-functional teams across both IT and the business Comfortable mentoring and providing guidance to more junior engineers Able to take ownership of deliverables, technical quality and performance

Hello Everyone, We are Hiring Business Analyst with one of our UK-Based Global Retail Giant. Location: Hybrid (Whitefield) Client: UK-Based Global Retail Giant Employment Type: Full-time with Careator Technologies Shift: 12 PM 9 PM IST Notice Period: Immediate joiners or up to 15 days only About role Mandatory Skill Sets 1. Strong in data profiling, lineage analysis, and metadata documentation. 2. Familiar with data modeling (logical/physical/semantic). 3. Experience with reporting tools (Power BI, Tableau) for metadata & quality monitoring. 4. Comfortable working across data engineering, governance, and business teams. In short: This is a data governance and discovery analyst role, with hands-on work in profiling data sources, documenting metadata, improving models, and building dashboards to track data quality. Data Discovery & Source Understanding Profile new and existing data sources to assess structure, content, quality, and readiness for consumption. Conduct detailed data investigations to uncover lineage, anomalies, and inconsistencies. Collaborate with Data Engineering and Domain SMEs to document key data sets, tables, fields, and definitions. Metadata Quality & Enhancement Perform metadata assessments to identify gaps in definitions, lineage, and classifications. Define and maintain business metadata (e.g., glossary terms, KPIs, categorizations) and technical metadata (e.g., data types, source systems). Support the enrichment of metadata via manual investigation and collaboration across teams. Data Modeling & Structure Contribute to the development and maintenance of logical and physical data models, especially for curated data layers (e.g., semantic models, marts). Recommend improvements to data schema design for analytical performance, standardization, and ease of use. Reporting & Insights (Secondary) Build targeted dashboards and reports to highlight data coverage, quality metrics, and metadata completeness. Provide ad-hoc analysis to support discovery-led initiatives, data migrations, or governance projects. Please review the JD and if interested kindly share your resume @ ankita.p@careator.com with the following details: Present CTC - Expected CTC - Any Offer in hand (if yes , CTC offered) - Notice Period Best Regards, Ankita Pandey Senior Technical Recruiter Careator Technologies Pvt. Ltd. ankita.p@careator.com www.careator.com "Connecting Talent with Opportunity"

About This Role What is Derivative Operations The Derivative Operations team is responsible for handling, processing and managing BlackRock's Derivative activity, which includes Trade Confirmation, Clearing and Collateral Management of Exchange Traded Derivatives, Cleared Swap, Contract for Difference and Over the Counter products The Derivative Operations philosophy is anchored on BlackRocks cornerstone principles: Innovation, Fiduciary focus, Passion for Performance, and the unified purpose of One BlackRock Through this lens we strive to build value for our clients by understanding their needs, the markets, and using technology to create optimized solutions, A BlackRock Derivative Operations Analyst will play a meaningful part in an exciting new phase of our functional evolution! Guided by your manager, you will learn how to set the benchmark in Operational excellence Above all, you will be part of a collaborative global network of exceptional talent that promotes openness, transparency, inclusion and equal opportunity, What You Will Do Daily tasks are varied, and could range from confirming trades, managing resets & settlement, moving collateral, ensuring margin gets paid in a timely manner to helping Portfolio Managers and Trading teams achieve their objectives, Enforcing rigorous Operational risk management standards (Key Risk Indicators / Key Process Indicators) and identifying, communicating and resolving issues quickly and efficiently, Take ownership of exceptions from start to finish by investigating exception root causes, partnering with internal/external teams to take corrective actions and following through until resolution is achieved Review and challenge of existing procedures to improve and rationalise where possible in response to a frequently changing environment and requirements, Developing technical expertise through on the job training and selflearning, with active participation in Technology and Operations meetings encouraged This may involve presenting ideas, contributing ideas, problem solving, or helping ensure strategic projects remain on track, Building strong relationships with internal and external partners, ensuring BlackRocks value proposition, technology roadmap and industry position is communicated and supported Participate in regular reviews to ensure BlackRock receives outstanding levels of service from all third-party providers, What You Will Need Required experience level should be between 1-4 years, A self-starter who enjoys operating in a fast-paced, process driven environment, and can work in a distributed team, Numerical proficiency, outstanding analytical skills and a passion to solve problems, An entrepreneurial drive coupled with an overwhelming desire to go above and beyond to improve processes, systems and services, An excellent communicator, capable of articulating complicated issues in a simplistic manner, Natural curiosity, with a passion for learning about financial markets and new technology, Candidates from a diverse range of backgrounds who show the right aptitude, attitude and desire to learn, and can develop deep levels of technical expertise in this area will be considered, Additional knowledge of data handling and visualization tools like PowerBi, SQL and Python will be an added advantage Who You Will Ideally Be Curious You are an innovative thinker, constantly looking for ways to skilfully adjust and optimize processes You care about the quality of your input and have a clear understanding of your end goal, bringing people on the journey in an effective way Driven You are a self-starter with energy and influencing skills, motivated to take the initiative and achieve goals You understand the impact of contributing within cohesive, dynamic team You are decisive, and passionate about solving difficult issues Adaptable You are flexible and resilient to solve sophisticated problems in a dynamic, fast paced environment with the ability to multi-task to meet deadlines Growth Mindset You will strive to enhance your skills and knowledge on a regular basis, challenging yourself to grow through challenges and experiences You will take emotional ownership and responsibility to your own objectives through to successful completion, Collaborative You foster strong internal and external relationships, with a focus on inclusion, collaboration and client service You communicate appropriately to different audiences, Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week Some business groups may require more time in the office due to their roles and responsibilities We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock, About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress, This mission would not be possible without our smartest investment the one we make in our employees Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive, For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: linkedin/company/blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law,

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere For 70 years, our team has driven meaningful innovations in kidney care As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients? that is what Vantive aspires to deliver, We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us At Vantive, you will become part of a community of people who are focused, courageous and dont settle for the mediocre Each of us is driven to help improve patientslives worldwide Join us in advancing our mission to extend lives and expand possibilities, Ensure Quality System processes are correctly implemented on site to meet requirements for new product development and lifecycle management for drugs and medical devices including ICH, 21 CFR, EMA, ISO 13485 and 14971, MDR Ensure Quality System processes are correctly implemented on site to meet requirements for pharmaceutical product testing and release, Review documentation for accuracy and compliance with procedures and release or reject as appropriate (essentially analytical methods development/validation/transfer, stability studies, Design & Development), Provide Guidance on maintenance of product Design History Files and Risk Man Must have strong communication oral/written skills, ability to negotiate; and willing to participate in team activities, Individual must be well organized, pay meticulous attention to details, and be customer focused with strong interpersonal skills Ability to work with minimal supervision, Compliance knowledge in the areas of therapeutic / device product development, laboratory control, change control, CAPA, Analytical method development/validation, laboratory activities or stability studies is an assetagement Files according to relevant Quality System and other regulatory requirements for therapeutics and medical devices, Interface with Research & Development, Regulatory Affairs, Manufacturing and other disciplines to represent QA in project teams, with the objective of assure that the project quality objectives are met, Act as QA Approver for Laboratory Out of Specification (OOS), for Quality System Change Controls (CC) and drive Non-conformance or /Corrective Action Preventive Action CAPA), Comply with Vantive Quality and Environmental Health and Safety policy, Provide oversight and support lab qualification, analytical instrument qualification and test and validation methods, Individual must be well organized, pay meticulous attention to details, and be customer focused with strong interpersonal skills Ability to work with minimal supervision, Compliance knowledge in the areas of therapeutic / device product development, laboratory control, change control, CAPA, Analytical method development/validation, laboratory activities or stability studies, Education: University degree in Engineering or in Sciences (Pharmacy, Chemistry, Biochemistry or Chemical Engineering), Experience: 7 to 10 years in R&D of Pharmaceutical industry per EU and/ or FDA requirements (GLP/GMP/ISO 13485 regulation), Experience in Durg development, Therapeutic Goods and GLP environment for conducting the non-clinical R&D studies Experience in Quality Initiatives (processes, systems, improvements) is a must, Reasonable Accommodation Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information Form Link Recruitment Fraud Notice Vantive has discovered incidents of employment scams, where fraudulent parties pose as Vantive employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information To learn how you can protect yourself, review our Recruitment Fraud Notice,

Job Title: Embedded Software Development Engineer Job Location: Bengaluru, India About Veoneer: Veoneer is a world leader, and over the years, Veoneer has delivered more than 1 1 billion electronic control units and crash sensors to car manufacturers globally, Owned by AIP and headquartered in the U S Veoneer has approximately 2,550 employees in 11 countries, What you'll do: Analyze Software Requirements and Prepare Low level requirements and traceability documentation Architecture and Detail Design in EA Develop Software and Functional testing with specified methods and processes Perform Integration Test Execution for the Test Plan Develop Test Scripts using J-Scripts and Python Scripts Requirement gathering Design and Source code programming Should be able to analyses the issue reported and fix the same if required Test specification preparation and testing Integrating the AUTOSAR/ BSW components and application Establish and adhere to estimates in project work plan for assigned tasks Provide regular updates of assigned task progression to Test lead for project planning, tracking and oversight Identify or propose product process or infrastructure improvements What you'll bring: Hands on Passive Safety Domain experience Experience in AUTOSAR based Software Development Good hold on Embedded C and assembly programming languages Experience in CAN and UDS protocol development Experience in RTE configuration Experience in Fault Handler, DEM, EOL, EDR modules development added advantage Experience in Cyber Security (Secure Flash, Secure Boot, HSM) modules development will be added advantage Hands-on experience in Software Architecture and Detail Design documentation using Enterprise Architect tool, Hands-on experience in Automotive development tools like Vector Geny, Da-Vinci, Tresos Hands-on experience in Automotive testing tools like CANoe, CANalyzer, CANstress and also on Flashing techniques, Experience in development of Application development like Diagnostics/ Communication stack/ MCAL/ NVRAM/ Bootloader Good knowledge on microcontroller architecture, memory layouts, device drivers, compiler and debuggers Good knowledge on Automotive protocols like CAN/ SPI Good Knowledge on ASPICE, ISO26262, MISRA Guidelines Good Knowledge on Software Debugging & Test methodology Experience in configuration management, change management methodologies Preferred Qualification: BE / BTech / ME / MTech

Role: Data Scientist Experience: 7+yrs Location: Pune Notice Period: Immediate Joiner Responsibilities Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets Establish best practices for collecting data using analysis tools, and interpreting data Process, cleanse, and verify the integrity of data used for analysis Perform ad-hoc analysis and present results in a clear manner using appropriate medium Process / mine huge volumes of structured, semi-structured and unstructured data using state-of-theart methods to derive meaningful insights in an appropriate format Recommend tools, techniques, and practices across organizations to enhance knowledge Create complex predictive models using ML techniques and relevant tools, Required / Mandatory Excellent knowledge of Statistics, especially distributions, likelihood estimators, etc Hands-on experience with one of these programming languages: Python / R Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various algorithms and their use cases Experience in using Business Intelligence (BI) tools like Tableau (or equivalent) Hands on experience in using SQL programming with Microsoft SQL Server / MySQL Excellent documentation skills, including advanced use of Microsoft Excel, Word, and PowerPoint Ability to work independently with minimum input or assistance Ability to effectively communicate with all levels of audience business and technical

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We re looking for an experienced and forward-thinking Principal Data Engineer to lead the design and implementation of our end-to-end data infrastructure for industry leading Voice AI products. This is a high impact role where you will shape the technical vision, own strategic architecture decisions, and mentor a growing team of Data engineers focused on delivering reliable and scalable data systems for Machine Learning at scale. You ll work cross-functionally with AI research scientists, Infrastructure and product teams to ensure that data - from raw audio to training-ready features - is consistently accessible, compliant and optimized for speed and scale. You ll help push the boundaries of real-time Voice AI! Key Responsibilities : Architect and lead the development of large scale data pipelines and data lakes to ingest, transform and serve high quality data for AI model training, product telemetry and analytics. Drive long term data infrastructure strategy across streaming and batch, feature store extensions, Iceberg/Delta lake choices, metadata management, and lakehouse evolution. Drive platform and infrastructure decisions, optimizing compute fleets (e.g. Ray, Spark clusters), orchestration tooling (Airflow, Dagster), and streaming stacks (Kafka, Flink). Collaborate with AI research scientists, engineering leads, product, finance,marketing, and legal to align data architecture with business and regulatory requirements. Advocate best practices in data governance, lineage, observability, testing, tooling, and disaster recovery across pipelines and data stores. Act as a mentor and technical leader - review design and code, share patterns, elevate team capability, and support recruitment and hiring. Drive build vs buy decisions for tools to implement data quality and observability solutions to achieve high data quality Qualifications: 10+ years of experience in Data Engineering, Infrastructure, or ML Systems , with at least 2+years in a technical leadership capacity Expertise in building distributed batch and real-time data systems Expertise in Databases (like Postgres) andData Lakes (like Snowflake,Databricks and ClickHouse) Experience using Data Processing frameworks like Spark, Flink and Ray Deep Experience with cloud platforms (AWS/GCP), object storage (e.g., S3),and orchestrators like Airflow and Dagster Strong knowledge of data lifecycle management, including privacy, security, compliance and reproducibility. Comfortable working in a fast-paced startup environment Strategic mindset and proven ability to collaborate across engineering, ML and product teams to deliver infrastructure that scales with the business Nice to Have: Familiarity with audio data and its unique challenges, like large file sizes, time- series features, metadata handling, is a strong plus. Experience with Voice AI models like ASR, TTS and speaker verification. Familiarity with real-time data processing frameworks like Kafka, Flink, Druid and Pinot Familiarity with ML workflows including: MLOps, feature engineering, model training and inference. Experience with labeling tools, audio annotation platforms, or human-in-the-loop annotation pipelines. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

The Team: The ServiceNow Data Platform Product team provides world class databases and data services so companies can put their most valuable data to work through automation, workflows and AI. We have introduced new data fabric capabilities so companies can connect, understand and take action on any data while maintaining trust through security and governance. The Role: ServiceNow customers work with a massive and diverse set of data across their business. We are looking for an experienced Product Manager who is passionate about bringing highly relevant data together so companies can deeply understand their enterprise and customers. You will be enabling companies to incorporate data from anywhere in their ecosystem into their digital workflows and powering new AI experiences in a highly governed way. You will define and build capabilities so customers can provide data that is trusted, easy to discover and understand, and can be utilized by humans and AI agents. This role is highly collaborative, working with product managers, internal and external customers, and experienced engineers to build high quality services that are the foundation of the ServiceNow platform. What you get to do in this role: Deliver Customer Value Work directly with internal and external customers to Identify use cases that can be achieved and enhanced with data fabric capabilities Collaborate closely with ServiceNow business units to power new products and capabilities built on the data platform Evangelize the data fabric capabilities to drive awareness, enablement, and adoption Become a domain expert by integrating usability studies, research, and market analysis into product requirements that map to clear customer value Provide Team Leadership Manage various stakeholders and communicate product priorities and build consensus Work with cross-functional teams to execute on the product roadmap and bring high-quality services to life Assume leadership responsibilities as an accountable owner who is committed to the outcome regardless of the role or organizational boundaries Have a Significant Impact Own the vision and product strategy for new data fabric services that are delivering net-new capabilities and unlocking additional market opportunity Be part of a high-performing Product team that is accountable, empowered, and works together to deliver outcomes that matter Influence other product teams by being the expert in your domain To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

KPMG India is looking for Senior - Data Governance to join our dynamic team and embark on a rewarding career journey. Develop and implement data governance frameworks and policies. Ensure compliance with regulatory requirements and internal standards. Monitor and maintain data quality across the organization. Collaborate with data owners to establish data stewardship programs. Conduct data governance training and awareness sessions. Identify and address data-related issues and risks. Support data governance initiatives and projects.

Looking for someone with 10+ years of exp in MDM. Lead the design and implementation of SAP MDM solutions, including configuring master data models, workflows, and business rules. Gather business requirements and translate them into technical specifications for SAP MDM. Customize the SAP MDM solution to meet business needs, including defining data governance processes, data structures, and integration points. Integrate SAP MDM with other SAP modules Develop and implement data migration strategies for moving data into SAP MDM.