4996 Data Governance Jobs - Page 39

As a Power BI Visualization Engineer, you will be a valuable member of our analytics team, contributing your expertise in designing and building interactive Power BI dashboards and reports. Your primary responsibility will be to translate complex datasets into visually appealing insights that aid in business decision-making. Your proficiency in Power BI, coupled with secondary skills in Power Platform, Python, data modeling, and ETL processes, will be instrumental in creating impactful data visualization solutions. Your key responsibilities will include designing, developing, and deploying interactive Power BI dashboards and reports tailored to meet specific business requirements. You will collaborate with various teams to gather requirements, define key performance indicators (KPIs), and ensure that the data structures within Power BI are optimized. Writing and managing complex DAX formulas, creating relationships between data sources, and supporting ETL processes will also be crucial aspects of your role. Furthermore, you will leverage Power Platform tools such as Power Apps and Power Automate to enhance dashboard interactivity and automate workflows. Collaborating with Data Engineering to support large data volumes, using Python for data wrangling and custom logic embedding, and ensuring data quality, governance, and security compliance across all reporting solutions will be essential components of your work. To excel in this role, you must have proven experience in Power BI dashboard and data model development, a strong command of Power BI Desktop, Power BI Service, and DAX, as well as proficiency in data modeling concepts and creating relationships between data sources. Additionally, familiarity with Power Platform tools, ETL development using Power Query, SSIS, or Python, and hands-on experience with SQL and databases like SQL Server or PostgreSQL are required. Preferred qualifications include experience with Azure Data Services, machine learning integration into Power BI, knowledge of pipeline orchestration tools like the KEDRO framework, exposure to AI-driven analytics and predictive modeling, and relevant Microsoft certifications. If you are passionate about data visualization, analytics, and Power BI innovation, we encourage you to apply to join our high-impact team dedicated to driving data-led decisions.,

As a Data Modeller/Data Modeler, you will play a crucial role in leading data architecture efforts across various enterprise domains such as Sales, Procurement, Finance, Logistics, R&D, and Advanced Planning Systems (SAP/Oracle). Your responsibilities will include designing scalable and reusable data models, constructing data lake foundations, and collaborating with cross-functional teams to deliver robust end-to-end data solutions. You will work closely with business and product teams to understand processes and translate them into technical specifications. Using methodologies such as Medallion Architecture, EDW, or Kimball, you will design logical and physical data models. It will be essential to source the correct grain of data from authentic source systems or existing DWHs and create intermediary data models and physical views for reporting and consumption. In addition, you will be responsible for implementing Data Governance, Data Quality, and Data Observability practices. Developing business process maps, user journey maps, and data flow/integration diagrams will also be part of your tasks. You will design integration workflows utilizing APIs, FTP/SFTP, web services, and other tools to support large-scale implementation programs involving multiple projects. Your technical skills should include a minimum of 5+ years of experience in data-focused projects, strong expertise in Data Modelling encompassing Logical, Physical, Dimensional, and Vault modeling, and familiarity with enterprise data domains such as Sales, Finance, Procurement, Supply Chain, Logistics, and R&D. Proficiency in tools like Erwin or similar data modeling tools, understanding of OLTP and OLAP systems, and knowledge of Kimball methodology, Medallion architecture, and modern Data Lakehouse patterns are essential. Furthermore, you should have knowledge of Bronze, Silver, and Gold layer architecture in cloud platforms and the ability to read existing data dictionaries, table structures, and normalize data tables effectively. Familiarity with cloud data platforms (AWS, Azure, GCP), DevOps/DataOps best practices, Agile methodologies, and end-to-end integration needs and methods is also required. Preferred experience includes a background in Retail, CPG, or Supply Chain domains, as well as experience with data governance frameworks, quality tools, and metadata management platforms. Your skills should encompass a range of technical aspects such as FTP/SFTP, physical data models, DevOps, data observability, cloud platforms, APIs, data lakehouse, vault modeling, dimensional modeling, and more. In summary, as a Data Modeller/Data Modeler, you will be a key player in designing and implementing data solutions that drive business success across various domains and collaborating with diverse teams to achieve strategic objectives seamlessly.,

The Data Operations Specialist is a crucial role within Our Partner International Funds Limited (MIFL) in Bangalore. You will play a significant part in ensuring the quality, integrity, and effectiveness of asset data throughout our information environment. Your responsibilities will include executing data quality routines, monitoring data pipelines and processes, and collaborating with the Senior Data Quality Engineer to address any identified issues promptly. Your role will involve working closely with the Senior Data Quality Engineer to oversee data processes such as ingestion, integration, and quality processes. You will be expected to identify, assess, and communicate potential data quality issues, as well as investigate the root causes of errors and suggest long-term solutions. Additionally, you will be responsible for documenting data operations and monitoring solutions in clear guides, executing data quality runbooks, creating data quality rules, and maintaining data catalogues and business glossaries in Informatica. To excel in this role, you should have at least 2 years of experience in a data quality, systems analyst, or data-focused role. Proficiency in programming languages like SQL and Python, as well as experience in data analytics, are essential. Familiarity with Informatica products and concepts like Data Governance, Data Quality, or Master Data Management will be advantageous. Strong analytical, problem-solving, and communication skills are crucial, along with a Bachelor's degree in Computer Science, Data Analysis, or a relevant field. Working for Our Partner International Funds Limited (MIFL) offers a stable and rewarding career with opportunities for growth and development. As part of an international team in Bengaluru, you will have access to comprehensive health insurance, a MacBook Pro or Lenovo T490, business trips worldwide, flexible timings, and various fun activities. The company prioritizes training and development programs to help you enhance your skills and stay updated with the latest technologies. Join us at Our Partner International Funds Limited (MIFL) and be part of a dynamic team that values professionalism, commitment, and environmental responsibility.,

As an Associate Sales Representative at Techlimber Consulting Private Limited, you will play a vital role in driving revenue growth through day-to-day sales activities. In this full-time on-site position located in New Delhi, your primary responsibility will be building strong relationships with clients, understanding their needs, presenting effective solutions, and ultimately closing deals. To excel in this role, you should possess strong communication and interpersonal skills. With a minimum of 2-3 years of sales experience in enterprise or mid-market sales territory, you have a proven track record of success in a sales environment. Your ability to build and maintain client relationships is crucial, and your self-motivation and target-driven approach will be key to achieving sales objectives. Having knowledge of Data Governance & Security solutions and services would be advantageous. A Bachelor's degree in Business Administration, Marketing, or a related field is preferred to provide you with a solid foundation for success in this role. Join our dynamic team at Techlimber Consulting Private Limited and be part of a company that empowers businesses to achieve growth and efficiency through cutting-edge technology and strategic partnerships.,

As a Systems Engineer specializing in Software License Management - CMDB L2, you will be joining our team with over 4 years of experience in the field. Your responsibilities will revolve around ensuring software license compliance, maintaining accurate data in the Configuration Management Database (CMDB), and supporting operational processes related to software assets. Your primary role will involve managing software license compliance by tracking, monitoring, and managing software licenses across the organization. You will work on maintaining accurate records in the Software Asset Management (SAM) tool, supporting audits, identifying cost-saving opportunities through license optimization, and collaborating with procurement teams for renewals and acquisitions. Additionally, you will be responsible for the administration of the CMDB by ensuring data accuracy and integrity, performing regular updates on Configuration Items (CIs), supporting integrations with other IT tools, and enforcing CMDB data governance policies and configuration management standards. In terms of operational support, you will provide Level 2 support for software license and CMDB-related incidents and requests, investigate and resolve issues, and develop documentation for processes and workflows related to Software License Management (SLM) and CMDB. Collaboration and stakeholder engagement will be crucial as you work with IT, procurement, and vendor management teams to align on software usage and license compliance, coordinate with IT operations and change management teams for CMDB updates during deployments, and provide training to teams on software license and CMDB processes. Your technical skills should include knowledge of software license management processes and tools such as Flexera, Snow, ServiceNow SAM, hands-on experience with CMDB platforms like ServiceNow CMDB, understanding of major software licensing models for vendors like Microsoft, Adobe, Oracle, and proficiency in data analysis and reporting tools like Excel and Power BI. Strong analytical and problem-solving skills, excellent communication and stakeholder management abilities, attention to detail, and a commitment to data accuracy are essential soft skills required for this role. At CGI, you will be part of a team that values ownership, teamwork, respect, and belonging. As a CGI Partner, you will actively contribute to the company's success, develop innovative solutions, build relationships, and shape your career in a supportive and growth-oriented environment. Join us and be a part of one of the largest IT and business consulting services firms globally.,

This role is for one of our clients in the Technology, Information, and Media industry at a Mid-Senior level. With a minimum of 8 years of experience, the location for this full-time position is in Mumbai. About The Role We are seeking an accomplished Assistant Vice President - Data Engineering to spearhead our enterprise data engineering function within the broader Data & Analytics leadership team. The ideal candidate will be a hands-on leader with a strategic mindset, capable of architecting modern data ecosystems, leading high-performing teams, and fostering innovation in a cloud-first, analytics-driven environment. Responsibilities Team Leadership & Vision Lead and mentor a team of data engineers, fostering a culture of quality, collaboration, and innovation while shaping the long-term vision for data engineering. Modern Data Infrastructure Design and implement scalable, high-performance data pipelines for batch and real-time workloads using tools like Databricks, PySpark, and Delta Lake, focusing on data lakehouse and data mesh implementations on modern cloud platforms. ETL/ELT & Data Pipeline Management Drive the development of robust ETL/ELT workflows, ensuring ingestion, transformation, cleansing, and enrichment of data from diverse sources while implementing orchestration and monitoring using tools like Airflow, Azure Data Factory, or Prefect. Data Modeling & SQL Optimization Architect logical and physical data models to support advanced analytics and BI use cases, along with writing and reviewing complex SQL queries for performance efficiency and scalability. Data Quality & Governance Collaborate with governance and compliance teams to implement data quality frameworks, lineage tracking, and access controls to ensure alignment with data privacy regulations and security standards. Cross-Functional Collaboration Act as a strategic partner to various stakeholders, translating data requirements into scalable solutions, and effectively communicating data strategy and progress to both technical and non-technical audiences. Innovation & Continuous Improvement Stay updated on emerging technologies in cloud data platforms, streaming, and AI-powered data ops, leading proof-of-concept initiatives, and driving continuous improvement in engineering workflows and infrastructure. Required Experience & Skills The ideal candidate should have 8+ years of hands-on data engineering experience, including 2+ years in a leadership role, deep expertise in Databricks, PySpark, and big data processing frameworks, advanced SQL proficiency, experience building data pipelines on cloud platforms, knowledge of data lakehouse concepts, and strong communication and leadership skills. Preferred Qualifications A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, industry certifications in relevant platforms, experience with data mesh, streaming architectures, or lakehouse implementations, and exposure to DataOps practices and data product development frameworks would be advantageous.,

You have a Bachelor's degree in Computer Science, Software Engineering or equivalent practical experience, along with 1 year of program management experience. You also have experience with Master Data Management, SAP ERP, Agile Project Management, PLM Systems, SQL, Data Analysis, Data Governance, and Problem-Solving. It would be preferred if you have a Master's degree or equivalent practical experience, along with 5 years of experience as a program manager leading complex projects across multiple stakeholders. As a Program Manager at Google, you will lead complex, multi-disciplinary projects from start to finish. You will work with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. Your role will involve coordinating the players and keeping them up to date on progress and deadlines. The Platforms and Devices team at Google encompasses various computing software platforms across environments (desktop, mobile, applications), as well as first-party devices and services that combine the best of Google AI, software, and hardware. Teams in this area research, design, and develop new technologies to make user interaction with computing faster and more seamless, building innovative experiences for users worldwide. Your responsibilities will include functioning as the primary point of contact related to the day-to-day execution of MDM related tasks. You will answer questions, resolve data issues, and provide analysis. Additionally, you will assist in developing and maintaining requirements/specifications for new or enhanced functionality to support stakeholders. You will also be responsible for developing and designing improvements to processes, procedures, tools, rules, and metrics to ensure data integrity across master data domains. Quality control activities will be conducted by you, and you will recommend or implement changes to Master Data Management current policies and procedures. Ensuring data accuracy by closely working with Data stewards and Business owners of the data, and monitoring key performance indicators to ensure data accuracy and data management policies are working as expected will also be part of your role.,

You are an experienced Business Analyst sought to join the team for contributing to ongoing regulatory reporting and tax transformation initiatives such as FATCA, CRS, and VAT-related projects. Your strong background in business analysis, regulatory compliance, and data governance is highly valued. Your key responsibilities will include analyzing, documenting, and mapping existing business processes and data sources end-to-end. Collaboration with stakeholders to interpret regulatory requirements and translate them into clear and actionable business requirements is crucial. Your contribution to FATCA/CRS and VAT/Tax transformation projects will ensure regulatory compliance and process optimization. Additionally, you will assess data quality and collaborate on initiatives to enhance data governance and data source integration. Working with cross-functional teams including compliance, finance, technology, and legal will be part of your role, along with facilitating workshops and discussions to gather, validate, and prioritize requirements. Key Skills & Experience required for this role are as follows: - 7-10 years of Business Analyst experience, preferably within financial services. - Proven track record of working on FATCA/CRS reporting and VAT/tax transformation projects. - Ability to comprehend and interpret complex regulatory guidance and align it with business processes. - Proficiency in handling and analyzing data from various sources, focusing on improving data quality and governance. - Strong stakeholder management and documentation skills are essential. - Familiarity with regulatory reporting frameworks and financial systems is considered a plus.,

As an Azure Data Engineer at our organization, you will be an integral part of our dynamic team. Your primary responsibility will be to design, develop, and maintain data pipelines and ETL processes using Azure cloud services. Your expertise in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics will be essential in creating scalable data solutions to ensure data quality and availability across various platforms. Collaboration is key in this role as you will work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions. You will also be tasked with building and optimizing data storage solutions using Azure Data Lake, Azure SQL Database, and Azure Cosmos DB. Your ability to implement data quality checks, data governance, and security best practices will be crucial in maintaining the integrity of our data platforms. In addition to developing and maintaining data models, data cataloging, and metadata management, you will also automate data integration and transformation processes using Azure DevOps and CI/CD pipelines. Monitoring, troubleshooting, and optimizing data workflows for performance and scalability will be part of your daily tasks. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, or a related field, along with at least 3 years of experience in data engineering with a focus on Azure cloud services. Proficiency in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database is essential. Strong experience with SQL, Python, or other scripting languages, as well as familiarity with data modeling, ETL design, and big data tools like Hadoop or Spark, will be beneficial. An understanding of data warehousing concepts, data lakes, and data pipelines, as well as knowledge of data governance, data quality, and security best practices, is required. Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment are qualities we value in our team members. Preferred skills for this role include holding an Azure certification (e.g., Microsoft Certified: Azure Data Engineer Associate), experience with Azure Logic Apps, Azure Functions, and API Management, and familiarity with data visualization tools like Power BI, Tableau, or others. If you are passionate about data engineering, have a strong background in Azure cloud services, and are eager to contribute to the development of scalable data solutions, we encourage you to apply for this exciting opportunity.,

As a highly skilled and experienced Data Modeler, you will be joining the Enterprise Data Modelling team where you will be responsible for creating and maintaining conceptual, logical, and physical data models. Your role will involve ensuring alignment with industry best practices and standards while working closely with business and functional teams. Your contribution as a Data Modeler will be essential in standardizing data models at portfolio and domain levels, thus driving efficiencies and maximizing the value of client's data assets. Preference will be given to candidates with prior experience within an Enterprise Data Modeling team, and ideal domain experience in Insurance or Investment Banking. Your key responsibilities will include developing comprehensive conceptual, logical, and physical data models for multiple domains within the organization by leveraging industry best practices and standards. Collaborating with business and functional teams to understand their data requirements and translating them into effective data models that support their strategic objectives will be crucial. Serving as a subject matter expert in data modeling tools such as ERwin Data Modeler, you will provide guidance and support to other team members and stakeholders. You will also establish and maintain standardized data models across portfolios and domains, ensuring consistency, governance, and alignment with organizational objectives. Identifying opportunities to optimize existing data models and enhance data utilization, particularly in critical areas such as fraud, banking, and AML, will be part of your role. Providing consulting services to internal groups on data modeling tool usage, administration, and issue resolution will promote seamless data flow and application connections. Developing and delivering training content and support materials for data models, ensuring that stakeholders have the necessary resources to understand and utilize them effectively, will also be a responsibility. Collaborating with the enterprise data modeling group to develop and implement a robust governance framework and metrics for model standardization, with a focus on long-term automated monitoring solutions, will be essential. Qualifications: - Bachelor's or master's degree in computer science, Information Systems, or a related field. - 10+ years of experience working as a Data Modeler or in a similar role, preferably within a large enterprise environment. - Expertise in data modeling concepts and methodologies, with demonstrated proficiency in creating conceptual, logical, and physical data models. - Hands-on experience with data modeling tools such as Erwin Data Modeler, as well as proficiency in database environments such as Snowflake and Netezza. - Strong analytical and problem-solving skills, with the ability to understand complex data requirements and translate them into effective data models. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Skills: problem-solving skills, business intelligence platforms, erwin, data modeling, database management systems, data warehousing, etl processes, big data technologies, agile methodologies, data governance, SQL, enterprise data modelling, data visualization tools, cloud data services, analytical skills, data modeling tool, data architecture, communication skills.,

You will be working as a full-time on-site Databricks Developer in Hyderabad. Your responsibilities will include designing, developing, and maintaining highly scalable efficient data pipelines using Databricks, PySpark, and other related technologies to process large-scale datasets. Collaboration with cross-functional teams to design and implement data engineering and analytics solutions will be a key part of your role. To excel in this role, you should have expertise in using Unity Catalog and Metastore, optimizing Databricks notebooks, delta lake, and DLT pipelines. You should also be experienced in using Databricks SQL, implementing highly configured data processing solutions, and solutions for data quality and reconciliation requirements. A solid understanding of data governance frameworks, policies, and best practices for data management, security, and compliance is essential. Additionally, you should have a strong knowledge of data modelling techniques and be proficient in PySpark or SparkSQL.,

As a skilled Architect in the Data Engineering field, you will be responsible for designing and architecting solutions that align with both functional and non-functional requirements. Your role will involve creating and reviewing architecture and solution design artifacts, as well as promoting re-use by implementing shared assets. It will be crucial to enforce adherence to architectural standards, global product-specific guidelines, and usability design standards. You will take the lead in guiding engineering methodologies, standards, and best practices, as well as providing direction to engineering staff during the construction phase. Your insights and guidance on roles and responsibilities required for solution operations will be invaluable. Additionally, you will be tasked with identifying, communicating, and mitigating Risks, Assumptions, Issues, and Decisions throughout the full lifecycle of projects. As part of your responsibilities, you will need to evaluate various architectural options based on feasibility and impact, demonstrating strong analytical and technical problem-solving skills. Your ability to analyze and operate at different levels of abstraction will be essential, along with the capacity to balance strategic considerations with practical realities. Furthermore, you will play a key role in growing the Data Engineering business by identifying opportunities for improved business outcomes and leading the implementation of solutions. Your involvement in growing and retaining the Data Engineering team, supporting their development, and providing technical governance for solution design and implementation will be crucial for success. Your role will also involve staying abreast of new technologies and advancements, particularly in Azure, AWS, and GCP Cloud Data Engineering services and solutions. You will lead the definition of best practices and repeatable methodologies in Cloud Data Engineering, covering areas such as Data Storage, ETL, Data Integration & Migration, Data Warehousing, and Data Governance. Moreover, you will contribute to Sales & Pre-sales activities, evangelize Data Engineering service offerings, develop thought leadership materials, define Go-to-Market strategies, and collaborate with Learning & Development teams to establish appropriate learning paths. In addition, you will be responsible for expanding the business within existing accounts, building strategic executive relationships, and positioning custom solutions to clients based on market trends and specific needs. Managing multiple opportunities simultaneously through the entire business cycle will also be part of your role. Overall, as a Data Engineering Architect, you will play a pivotal role in driving the growth, innovation, and success of the Data Engineering business, while ensuring high-quality services and solutions for customers.,

As a member of the Huron corporate team, you play a crucial role in shaping the evolution of our business model to proactively respond to market dynamics, industry shifts, and client demands. Collaborating closely with our accounting, finance, human resources, IT, legal, marketing, and facilities management professionals, you contribute to supporting Huron's collective strategies that drive real transformation and sustainable business outcomes. Joining Huron Consulting Group's Corporate Security and GRC team, you will be instrumental in overseeing and directing the global enterprise information security program. Working in collaboration with key stakeholders across various departments including IT, HR, Legal, Finance, Procurement, and Business Units like Consulting-Healthcare, Consulting-Education, and Digital, you will play a pivotal role in managing security efforts and Governance, Risk, and Compliance (GRC) initiatives across the organization. In the role of Information Security GRC (Senior Associate), you will work hand in hand with the Corporate Security GRC team to ensure Huron's compliance with certifications, regulations, and data governance best practices. Your responsibilities will include actively participating in cybersecurity and vulnerability management projects, ensuring adherence to information security frameworks and regulations such as ISO27001, ISO22301, EU-US Privacy Shield, HIPAA, Sarbanes Oxley, CMMC, and FedRAMP. The ideal candidate for this position should have 2-4 years of experience in governance, risk, and compliance disciplines, encompassing areas like data governance, information security, audit, or technical writing. A Bachelor's degree in Business/Management Information Systems, Computer Science, or a related field is required. Profound knowledge of data governance frameworks, methodologies, and best practices with a particular focus on Data Lake environments is essential. Moreover, hands-on experience with data privacy, data protection, and regulatory aspects of data governance is crucial. This includes expertise in creating and implementing a data rights framework, managing contractual requirements, and developing data governance strategies, architecture, practices, and technology implementation. Strong communication, documentation skills, multitasking abilities, organizational skills, and meeting deadlines are prerequisites for excelling in this role. Preferred qualifications include professional certification in Data Governance, Information Security, Risk Management, or Audit (or a willingness to obtain certifications) such as CDMP, DGSP, CISM, CRISC, CISSP, HCISPP, Security+, CISA, or Certified ISO 27001: 2022 Lead Auditor. Experience with GRC tools, particularly ServiceNow, databases like Oracle or SQL Server, proficiency in the Microsoft Office Suite, and the ability to remain calm under pressure while effectively managing tasks are highly valued skills in this role.,

At Pitney Bowes, we uphold the values of doing the right thing the right way. As a member of our team, you can join our group of amazing individuals who are the driving force behind our company's success. Our culture thrives on four core components: Client, Team, Win, and Innovate. We are actively seeking individuals who are passionate about ensuring client success, enjoy collaborating with colleagues, strive to exceed expectations, and are unafraid to boldly pursue superior solutions in the market. Join us at Pitney Bowes as a Workday HRIS & Reporting Analyst in either Pune or Noida with 2-3 years of experience. In this role, you will be responsible for enhancing, configuring, maintaining, and expanding the functionality of Workday business processes and HCM functionality. Your key tasks will involve acting as a liaison between vendors, business stakeholders, HR partners, and IT to ensure end-user expectations are not just met but exceeded. Your responsibilities will include executing system enhancements, coordinating comprehensive tests, documenting processes, providing post-implementation support, creating and maintaining job aids and knowledge-based articles, and reporting on key HR metrics, talent metrics, and diversity, equity, and inclusion demographics. To be successful in this role, you should possess a natural curiosity and drive for continuous improvement. Your ability to communicate proposed solutions clearly and precisely, work independently or collaboratively, and maintain an end-user perspective are essential for delivering meaningful solutions efficiently. Key responsibilities include partnering with stakeholders to design and configure solutions, translating business process requirements, developing custom Workday reports, troubleshooting Workday related issues, enforcing solution architecture, ensuring data and privacy standards, and engaging with HR operations to understand operational challenges. The ideal candidate should have 2+ years of Workday functional configuration experience, 3 years of creating and configuring advanced reports and dashboards in Workday, be certified in Workday Core HCM, and have experience supporting other Workday functional areas. Strong analytical skills, problem-solving abilities, attention to detail, communication skills, and the ability to manage multiple projects simultaneously are essential for this role. At Pitney Bowes, we offer an inclusive environment that values diversity and encourages unique perspectives. If you are a self-directed, motivated individual with a strong work ethic and the required qualifications, we invite you to apply for this exciting opportunity to contribute to the success of our transforming organization.,

You are a highly skilled Alteryx Designer responsible for developing, optimizing, and maintaining workflows and data transformation processes using Alteryx Designer. Your role involves collaborating with business stakeholders to gather requirements and deliver data-driven solutions. You will be optimizing workflows for performance and scalability, integrating Alteryx workflows with other BI tools for reporting and visualization, and automating data extraction, transformation, and loading processes to streamline business operations. Your responsibilities include designing, developing, and maintaining workflows using Alteryx Designer, ensuring adherence to best practices, and performing data quality checks and troubleshooting issues within Alteryx workflows. You will also provide documentation and training to end-users on Alteryx Designer workflows and solutions, stay updated on the latest features in Alteryx Designer, and recommend improvements to existing workflows. You should have proven experience with Alteryx Designer and developing complex workflows, a strong understanding of data analytics, ETL processes, and data visualization principles. Proficiency in integrating Alteryx workflows with BI tools like Tableau, Power BI, or QlikView is required. Excellent problem-solving and analytical skills with a strong attention to detail, knowledge of relational databases and SQL, strong communication skills, Alteryx Designer Core Certification (or higher), experience with Python or R, familiarity with cloud platforms for data integration, and knowledge of data governance and compliance standards are essential for this role. If you are interested in this opportunity, please share your resume at namratha.katke@neutrinotechlabs.com.,

As a Developer specializing in Business Intelligence (BI) and ETL (Extract, Load, Transform) technologies at Astellas Pharma Inc., you will be based in Bengaluru and required to engage in some on-site work. Your role will involve designing, developing, and optimizing data solutions using your expertise in BI tools such as Qlik Sense, Tableau, and ETL technologies like Talend, DataBricks, or dbt. Your contributions will play a vital role in driving data-driven initiatives within the organization. You will be responsible for proficiency in designing, developing, and maintaining QLIK/Tableau applications, with experience in QLIK Sense and QLIKView highly desirable. Your expertise in creating interactive reports, dashboards, and visualizations using Power BI, along with knowledge of DAX and Power Automate, will be essential for informed decision-making. Additionally, your skills in data modeling, integration, and SQL for querying and manipulating data will be crucial aspects of your role. Furthermore, you will be expected to have a strong understanding of data governance principles, data lineage, metadata management, and ensuring data quality and accuracy. Your ability to create dashboards of high quality, conduct unit testing, troubleshoot BI systems, and automate critical reporting metrics will be key responsibilities. Additionally, you will collaborate with cross-functional teams, support key development projects, and contribute to the efficient administration of multi-server environments. To qualify for this role, you should have a Bachelor's degree in computer science, Information Technology, or a related field, with 3-5+ years of experience as a Developer or Data Analyst in the pharmaceutical or similar regulatory environment. Your analytical thinking, familiarity with Business Intelligence and Data Warehousing concepts, SQL expertise, and subject matter expertise in Life Sciences/Pharma industry will be essential qualifications. Strong coding skills in SQL, R, and/or Python, along with expertise in machine learning techniques and data visualization, will also be required. Moreover, your ability to work in a cross-cultural environment, think innovatively, propose creative solutions, and understand global pharmaceutical or healthcare technical delivery will be advantageous. Experience in the Pharma/Lifesciences industry, storytelling with data, visualization best practices, and using Qlik or PowerBI SaaS solutions will be preferred qualifications. At Astellas, we offer a hybrid working solution to optimize work-life balance, allowing you to connect with colleagues at the office and work flexibly from home. This commitment to equality of opportunity in all aspects of employment underscores our values and inclusive work culture at Astellas.,

As a Data Engineer at our company, you will be responsible for designing, developing, and maintaining scalable and efficient data pipelines using GCP services such as Dataflow, Cloud Composer (Airflow), and Pub/Sub. Your role will involve designing and implementing robust data models optimized for analytical and operational workloads within GCP data warehousing solutions like BigQuery. You will also be tasked with developing and implementing ETL processes to ingest, cleanse, transform, and load data from various sources into our data warehouse and other data stores on GCP. Furthermore, you will play a key role in building and managing data warehousing solutions on GCP, ensuring data integrity, performance, and scalability. Collaboration with data scientists and analysts to understand their data requirements and provide them with clean, transformed, and readily accessible data will be an essential aspect of your responsibilities. Monitoring and troubleshooting data pipelines and data warehousing systems to ensure data quality and availability will also be part of your duties. In addition, you will implement data quality checks and validation processes to maintain the accuracy and reliability of data. Optimizing data processing and storage for performance and cost-efficiency on the GCP platform will be crucial. Staying up-to-date with the latest GCP data services and best practices in data engineering and analytics is essential. You will also contribute to the documentation of data pipelines, data models, and ETL processes and work collaboratively with cross-functional teams to understand data needs and deliver effective data solutions. Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in data engineering principles and practices. - Solid understanding of data modeling concepts and techniques (e.g., relational, dimensional). - Hands-on experience in designing, developing, and implementing ETL processes. - Knowledge of data warehousing concepts, architectures, and best practices. - Familiarity with data analytics principles and the data lifecycle. - Strong problem-solving and analytical skills with the ability to troubleshoot data-related issues. - Excellent communication and collaboration skills. Preferred Qualifications (A Plus): - Hands-on experience working with Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, etc. - Experience with scripting languages such as Python or SQL for data manipulation and automation. - Familiarity with data visualization tools (e.g., Looker, Tableau). - Experience with data governance and data security principles. - Knowledge of DevOps practices and tools for data infrastructure automation.,

As the Director of Data Governance at our company located in Mumbai, Maharashtra, you will be leading the Data Management team in ensuring the effective governance of data assets. Your primary responsibility will be to establish and maintain policies and procedures that promote data quality, security, privacy, and compliance with regulatory requirements. You will play a crucial role in developing and implementing data governance frameworks, data standards, and data quality metrics. Collaborating with various stakeholders across the organization, you will define data governance objectives, assess data risks, and drive continuous improvement in data management practices. In this role, you will also be responsible for overseeing data governance initiatives, providing guidance on data management best practices, and monitoring compliance with data governance policies. Additionally, you will lead efforts to enhance data management processes, streamline data flows, and optimize data usage to support business objectives. The ideal candidate for this position should have a strong background in data governance, data management, and regulatory compliance. You should possess excellent leadership skills, a strategic mindset, and the ability to communicate effectively with cross-functional teams. A proven track record of successfully implementing data governance programs and driving data quality improvements is essential for this role. If you are a data governance professional looking to make a significant impact in a dynamic environment, we invite you to join our team as the Director of Data Governance.,

Horizontal Digital is an experience-forward consultancy dedicated to helping organizations meet and exceed customer expectations while delivering exceptional results. By prioritizing customers at the core of all operations, we empower them to build stronger possibilities alongside our clients. Our solutions are crafted with a strategic approach, creativity, and precise execution, leveraging platforms such as Sitecore, Salesforce, and other enterprise technologies. Dive deeper into our expertise by exploring some of our sample case studies. As a Data and Technical Architect specializing in Salesforce Data Cloud at Horizontal Digital, you will be entrusted with a pivotal role as a leader in technical and data architecture within customer and partner engagements, ensuring the successful delivery of Data Cloud Projects. Your responsibilities will include shaping and leading project teams within the Salesforce Data Cloud space to set customers up for success. Collaborating closely with stakeholders, you will define technical vision, drive solution and data architecture, and seamlessly integrate Salesforce Data Cloud with enterprise systems. Your profound technical expertise in data architecture, integration, and advanced data strategies will be instrumental in helping organizations maximize the potential of their customer data. Your key responsibilities will include: - Facilitating and leading technical discovery workshops to outline detailed data architecture, integration requirements, and data ingestion strategies. - Synthesizing complex requirements into clear technical solution designs and collaborating with technical teams to document and implement them effectively. - Assessing current-state data ecosystems, contact/subscriber management, and identity resolution processes to define future-state architecture and perform gap analysis. - Refining, designing, and configuring complex data models in alignment with business processes, scalability, and best practices of Salesforce Data Cloud. - Collaborating with cross-functional data teams to design and implement data integration and migration strategies leveraging ETL tools, APIs, and middleware solutions. - Overseeing the execution of user acceptance testing (UAT) to ensure the delivery of high-quality solutions meeting client expectations. - Serving as the primary technical point of contact for client stakeholders, providing training on Salesforce Data Cloud and driving adoption within their teams. - Advocating for data governance best practices, including data privacy, quality assurance, and regulatory compliance frameworks. - Contributing to pre-sales activities, internal growth initiatives, and thought leadership development to scale Data Cloud expertise across the organization. - Managing multiple engagements simultaneously while balancing billable utilization and team leadership objectives effectively. Qualifications and Experience required: - 7+ years of client-facing consulting/professional services experience delivering enterprise-grade data solutions. - 3+ years of experience implementing Salesforce Data Cloud or equivalent Customer Data Platforms (CDPs). - Strong background in data architecture, data modeling, ETL/ELT pipelines, data integration, and API-driven solutions. - Certifications in Salesforce Data Cloud and a solid understanding of the Salesforce ecosystem. - Experience in implementing data governance, data security, and regulatory compliance frameworks. - Expertise in identity resolution, subscriber management, and harmonizing data across systems for a unified customer view. - Strong analytical skills, problem-solving abilities, and expertise in agile delivery methodologies. - Excellent written and verbal communication skills for engaging with technical and non-technical stakeholders. - Industry experience in Financial Services, Health and Life Sciences, Manufacturing, Retail, or Hospitality. - Bachelor's degree preferred; Master's degree is a plus. Who you are: - An enthusiastic data integration strategy and architecture expert with a focus on enterprise-scale solutions. - Skilled in simplifying discussions around complex data challenges and technical solutioning for diverse stakeholders. - Passionate about leveraging data to enhance customer experiences, create unified data ecosystems, and drive actionable insights. - Thrive in fast-paced, agile environments, managing shifting priorities and multiple client engagements. - Recognized as a trusted advisor with strong stakeholder relationships, empathetic communication, and accountability. - Committed to professional development, team mentoring, and delivering excellence in every engagement. - Optimistic, results-driven, and collaborative, aiming for successful outcomes for clients through innovation and teamwork.,

As a Product Owner for the Master Data Governance (MDG) domain within the Distribution Management team, you will play a crucial role in defining and prioritizing the MDG product roadmap. Your responsibilities will include writing user stories, collaborating with stakeholders and technical teams, and ensuring the delivery of scalable, high-quality data solutions that align with enterprise goals. You will serve as the voice of the customer, leading backlog refinement and driving data governance initiatives across customer, dealer, and product domains. It will be your responsibility to own and prioritize the Dealer/Customer/Product data sprint backlog to maximize business value. Additionally, you will write, manage, and refine user stories and acceptance criteria, lead backlog grooming, and collaborate with teams to estimate and decompose stories. Your role will also involve active participation in agile ceremonies such as PI Planning, Sprint Planning, Reviews, and Retrospectives. You will need to effectively communicate the product roadmap to stakeholders and advocate for strong data management practices. Identifying and resolving blockers, acting as a knowledge broker between business and technical teams, supporting UAT, product demos, release planning, and documentation are also key aspects of this role. To excel in this position, you must have a Bachelor's degree in a relevant field and a minimum of 7+ years of IT experience, with at least 5 years in data management/analytics. Demonstrated Product Ownership experience in data governance initiatives is essential, along with a solid understanding of Agile methodology and sprint-based delivery. Preferred skills include experience in multi-brand, global digital ecosystems, strong skills in stakeholder management, data analysis, and issue resolution, as well as the ability to synthesize complex data issues into clear communications for senior leadership. Exposure to compliance, governance, and risk management related to data will be beneficial. The core competencies required for this role include Product Ownership, Agile Delivery, Data Strategy & Governance, Communication & Stakeholder Influence, and Analytical & Problem Solving skills. Key Performance Indicators (KPIs) for this role will be Backlog Velocity, Development Quality (Defects/Bugs), SLA Fulfillment, and Compliance Adherence.,

As a SAS Governance and Compliance Consultant at Lericon Informatics, you will be entrusted with the vital responsibility of overseeing the effective implementation and continuous management of our SAS environment through SAS Governance and Compliance (SAS GRC). Your role will involve playing a pivotal part in mitigating risks, ensuring compliance with regulations, and fostering data governance best practices. Your main duties will include developing and executing data governance policies and procedures to uphold data quality, integrity, and security. It will be essential for you to establish and enforce data management guidelines that comply with regulatory requirements, including GDPR and other pertinent regulations. Regular audits and assessments will need to be conducted by you to identify and address compliance risks proactively. Furthermore, you will be expected to supervise data management practices to guarantee data accuracy and reliability. Implementation and maintenance of data security measures, such as access controls and encryption, will fall under your purview. Collaboration with both business and IT teams will be crucial to align governance and compliance practices with the overarching organizational objectives. Communication with stakeholders regarding governance policies, compliance status, and related matters will be a key aspect of your role. You will also be required to provide training and assistance to users on the data governance framework and best practices for compliance. Documentation of governance and compliance procedures, as well as the generation and review of compliance and governance reports for internal and external stakeholders, will be part of your routine tasks. Lastly, meticulous record-keeping of compliance activities, audits, and risk assessments will be essential to ensure transparency and accountability in all governance and compliance-related efforts.,

The Business Intelligence Lead position is a pivotal role within our organization, requiring a result-oriented leader who can effectively translate data into actionable insights and demonstrate a deep understanding of the business landscape. As the Business Intelligence Lead, you will oversee a team of talented analysts, working collaboratively to transform raw data into strategic advantages that drive business growth and success. Your responsibilities in this role will include: - Developing and refining the company's data strategy to align with overall business objectives and growth initiatives, bridging the gap between data and business needs to enable data-driven decision-making. - Leading a team of data analysts to foster a culture of innovation, collaboration, and continuous learning, motivating them to provide clear insights that inform strategic business decisions. - Partnering with the leadership team to identify key business questions and challenges, utilizing data analytics to solve problems, optimize processes, and unlock new opportunities that generate measurable business impact. - Communicating complex data sets concisely and compellingly to stakeholders at all levels, using data visualizations and storytelling to drive action and achieve buy-in. - Prioritizing data quality and integrity through robust data governance practices to ensure data accuracy, consistency, and accessibility for all teams. - Demonstrating a strong understanding of data analytics methodologies, staying current with emerging trends and technologies in the field. - Translating data insights into actionable business strategies that optimize performance across all departments, leveraging a strong understanding of core business principles. Key Requirements: - Proven track record of success in building and managing high-performing data analytics teams. - Strategic thinker with the ability to leverage data for solving complex business problems and driving growth. - 7-10 years of work experience in data analysis methodologies, with a focus on data mining, modeling, and data visualization. E-commerce experience is a plus. - Strong understanding of data governance principles and best practices. - Business acumen with a focus on translating data into actionable business strategies. - Advocate for data-driven decision-making, adept at storytelling and influencing stakeholders. - Excellent communication, collaboration, and presentation skills to effectively engage both technical and non-technical audiences across the organization.,

You should have at least 4+ years of experience in Model Development or Validation related to areas such as IRRBB, NII, NIR, IRE, IRR, EVE, EVS, and Balance sheet models. Your skill set should include strong proficiency in Excel, Python, and SQL programming. Additionally, a basic understanding of debt investment securities and non-trading market risk like FXRBB, commodity risk, private equity risk, CSRBB, QMMF, and CCAR for Pensions, ATM/AFS portfolios, etc. will be beneficial. It is essential to have a foundational knowledge of regulatory, compliance, risk management, financial management, and data governance concerns. Your responsibilities will include supporting BSM analytics and modeling projects focusing on asset allocation, FXRBB, OCI stress testing (CCAR), QMMF for pensions, AFS/HTM securities, and Commodity/Equity/CSRBB risk. You will be expected to provide accurate analysis to improve BSM methodologies and assist in the development and maintenance of Citis first-line NTMR framework. This involves working closely with MRM to ensure proper development and validation of NTMR models, as well as collaborating with senior leaders to align governance for legal entities with various risk factors. Coordination with business, Treasury, CTI, Markets Treasury, and Controllers is crucial to ensure effective NTMR management. Additionally, you will support the remediation of non-trading market risk gaps as per Tier 1 regulations and assist in resolving regulatory/audit issues to achieve the target state framework. If you are interested in this position, please send your resume to "swarali.deshmukh@credencehrservices".,

As a Data Engineer at amIT Global Solutions Sdn Bhd, you will be responsible for designing, implementing, and optimizing ETL pipelines using Elasticsearch to facilitate data ingestion, transformation, and loading processes. You will collaborate closely with data architects and business stakeholders to comprehend data requirements and ensure that data is well-structured and readily available for analysis. Your role will involve writing and maintaining complex SQL queries, developing scripts, and constructing data pipelines to process data efficiently. In this role, you will be expected to implement data transformation logic using Elasticsearch tools and frameworks to ensure that data is appropriately prepared for analytics. You will also be involved in developing and managing data models for real-time analytics, integrating data from diverse sources while ensuring consistency and accuracy. Troubleshooting issues related to data pipelines, performance, and data quality will be a key aspect of your responsibilities. Working in coordination with data science and business intelligence teams, you will support the creation of reporting mechanisms, dashboards, and drive data-driven decision-making processes. Monitoring and optimizing ETL jobs for scalability, performance, and reliability will be crucial to enhance data processing efficiency. Upholding data integrity and compliance with data governance and security standards will also be a part of your role. This is a contractual/temporary position with a duration of 12 months located at Coplace2, Cyberjaya. The role requires a commute or willingness to relocate to Chennai G.P.O, Chennai, Tamil Nadu. Desired experience includes a minimum of 3 years in Elasticsearch and 2 years in ETL. The candidate should be willing to work in Malaysia and provide information about their notice period.,

The Associate Director, Strategic Program Analytics will be responsible for supporting the Director, Agile Sourcing Hyderabad lead data and performance efforts for the entire Global Procurement organization. This role supports the analytics, process improvement for data governance and quality and documentation of scoring performance against Global Procurements priorities and objectives. This includes reporting on data gathering requirements, goals, priorities, and documenting key performance indicators (KPIs) for the procurement portfolio across its strategic initiatives. This role will support Global Procurement by providing appropriate data and insights to generate value opportunities ensuring realization. This role will support and enable the development and implementation of all initiatives within the Procurement multi-year functional strategic roadmap that will focus on analytics capabilities. This role plays a part in managing procurement activities strategically and efficiently & identifying areas of continuous improvement / efficiencies where applicable. Team Management: - Source, on-board, lead, manage and develop a team of professionals in support of Strategic Program Analytics operations across various Global Procurement initiatives. - Monitor team performance and identify opportunities for continuous improvement to ensure successful development and implementation of improved processes and technical capabilities. - Assist direct reports with professional development planning and enable flexibility across Agile Sourcing organization to foster cross-functional proficiencies of resources and procurement categories. - Assist in the creation of training materials leveraging best practices and BMS Standard Operating Procedures. - Establish clear performance expectations, provide proactive feedback and provide close leadership and support to their team. Data and Analytics: - Deliver analytics metrics & dashboard including, but not limited to, RFP, Supplier, Contracts, Cashflow, Spend, Savings, Market Intelligence, Cost Intelligence to successfully achieve business objectives. - Partners with BIA, Procurement and IT Teams to deliver necessary data management tools and system solutions, identify business challenges; use fact-based solutions and data analysis to help influence changes to operations, process or programs; and champions movement to an organizational Lead with Data mindset. - Collaborate effectively across matrix environment, build strong partnerships, good interpersonal, presentation, communication & negotiation skills. - Ability to manage multiple projects and priorities effectively. - Very well versed with business, data and technical language to connect processes, tools & data. - Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. - Maintains and ensures quality assurance of key data sets, reports and metrics that are relevant and insightful and highlight key trends in human capital dynamics. - Good communication & presentation skills. Performance Scorecard & Maintenance: - Support the end-to-end performance reporting of functional strategic roadmap via development of the SS&P and functional team scorecards, including development of metrics aligned to functional vision and strategic roadmap. - Manage ongoing reporting and monitoring of key metrics including liaising with key stakeholders across all of SS&P for progress updates, etc. - Analyze performance trends, proactively identify potential shortfalls and risks and make fact-based recommendations to close gaps against targets. - Report status to leadership and functional area teams as appropriate. Key Stakeholder Management: - Partner with a variety of global stakeholders to collect Procurement requirements and provide recommendations that align to overall SS&P strategy to deliver on projects. - Act as a trusted advisor to global procurement teams and their leadership to ensure procurement strategic initiatives can be delivered against the expectations of the business. - Develop collaborative relationships and coordinate with functions and stakeholders across BMS to ensure timely, compliant and effective delivery of analytics pertaining to all strategic initiatives. Internal / External Stakeholders: - Other functional strategy leads. - Management in BMSs SS&P organization. - SS&P Category Managers, Sourcing Managers and Business Partners. - Key stakeholders across the COE organization (i.e., process owners, digital leads,). Qualifications: Minimum Requirements: - BA / BS in a quantitative major or concentration required. - 10+ years of experience developing and using advanced analytics and reporting techniques. - 5+ years of experience in performing Procurement analytics or relevant experience. - Strong management and team leadership skills, demonstrated by a record of accomplishment of success leading projects and other problem-solving initiatives with cross functional teams. - Ability to work in a fast-paced global environment with multiple competing priorities. - Experience leading, collaborating with and participating on cross-functional and global teams and demonstrated ability to work and influence within a matrix structure. - Excellent oral and written communication skills and diplomacy to convey information and influence others with a strong customer focus. - Experience in leading new capability development, pilots, and integration. - Experience in leveraging methods such as Design Thinking and Human Center Design to generate high value questions. - Analytical mindset, intellectual curiosity, creativity, strong attention to detail and execution skills. - Experience working with tools across the analytic stack including data management tools; like MapReduce/Hadoop, SPSS/R, SAS, and Workday for data management, advanced analysis, and insights, along with ETL tools (Tableau, Power BI) for data integration. - Leverage procurement systems such as SAP Ariba, Oracle Procurement Cloud etc. for process management, spend analysis, and decision support as needed. - Proficiency in English. Preferred Qualifications: - M.S./M.B.A. - Professional certifications (e.g. CPM, CPIM). - 5 years Pharmaceutical Procurement Operations experience. - Membership in Professional Associations, e.g. ISM.,