455 Metadata Management Jobs - Page 7

As an Integration Developer at our organization, you will be an integral part of the data engineering and integration team. Your primary responsibility will be to design, develop, and maintain ETL/ELT pipelines using tools such as SSIS and Azure Data Factory (ADF). You will play a crucial role in building reliable data integration pipelines that support various business functions including business intelligence, analytics, and operational workloads. Your key responsibilities will include implementing robust data workflows to ingest, transform, and store structured and unstructured data in Azure Data Lakehouse, integrating cloud and on-premise systems for high performance and data quality, and actively participating in architectural discussions to contribute to the design of data integration frameworks on the Azure platform. Collaboration with data analysts, data scientists, and business users will be essential to understand data requirements and deliver scalable solutions. Monitoring and optimizing data pipelines for performance, reliability, and cost-efficiency will also be part of your responsibilities. To excel in this role, you are required to have a Bachelor's degree in Computer Science, Engineering, or a related field, along with at least 5 years of experience in data integration or ETL development roles. Strong expertise in SSIS, Azure Data Factory, Azure Data Lake, Delta Lake, and Azure Storage (Blob/ADLS Gen2) is necessary. Proficiency in SQL, familiarity with Azure Fabric concepts, and problem-solving skills are also essential. Preferred qualifications include experience with DataOps or CI/CD pipelines, exposure to Databricks, Spark, or Python for data transformation, and knowledge of data governance tools. Possessing Microsoft Azure certifications such as DP-203 or AZ-204 would be considered a plus. This is a full-time position with benefits such as food provided and Provident Fund. The work location is in-person. Join us as an Integration Developer and be part of a dynamic team that is dedicated to creating scalable and resilient data integration solutions on the Azure platform.,

You will be joining Spectral Consultants for a Data Governance role in a leading US-based management consulting firm. The role is based in Gurugram. You should have a total of 3-6 years of experience in the field. Your main responsibilities will include utilizing tools such as Collibra, Data Cataloging, Data Quality, and Metadata Management. Immediate joiners are preferred for this position. Key skills required for this role include a strong expertise in Data Governance, Data Cataloging, and Metadata Management. You must have at least 3+ years of hands-on experience with Collibra and Data Quality, and should have executed a minimum of 2 large Data Governance and Quality projects from start to finish. Experience with business glossaries, data lineage, and quality rules is essential. You should have a proven track record of delivering 2+ end-to-end data governance projects. Familiarity with Critical Data Elements (CDEs) and enterprise data domains is also necessary. Furthermore, you should have 3-6 years of enterprise data integration and management experience, working with data management, EDW technologies, and data governance solutions.,

You will be a Teradata Data Modeler for our client, a trusted global innovator of IT and business services. Your role involves transforming clients through consulting, industry solutions, business process services, digital & IT modernization, and managed services, enabling them to confidently move into the digital future. With a commitment to long-term client success, you will provide global reach with local client attention in over 50 countries worldwide. As a Teradata Data Modeler, you will be based in Mumbai (Powai / Mahape) and should have a minimum of 5 years of experience. This position is on a contract-to-hire basis, requiring immediate joiners. Your key responsibilities will include: - Demonstrating 5-10 years of hands-on experience in data modeling, metadata management, and related tools such as Erwin or ER Studio - Possessing a strong knowledge of data modeling principles, encompassing conceptual, logical, and physical data models - Having a deep understanding of the Teradata FSLDM, including its structure, components, and best practices for implementation - Proficiency in Teradata database technologies, including SQL, utilities, and performance tuning - Expertise in creating and maintaining comprehensive documentation for data models, mappings, and data governance policies - Utilizing strong SQL skills for data manipulation, query optimization, and data validation - Understanding data warehousing concepts, medallion architecture, and best practices - Applying strong analytical and problem-solving skills to identify and resolve data-related issues - Understanding metadata management principles - Preferred knowledge of the insurance domain and its data structures If you possess the mandatory skills mentioned above and are looking to leverage your expertise in data modeling within a dynamic global environment, we invite you to apply for the position of Teradata Data Modeler with our client.,

As a member of the Platform engineering team at PepsiCo, you will be the key techno-functional expert responsible for leading and overseeing the Platforms & operations. Your role will involve driving a strong vision for how Platforms engineering can proactively create a positive impact on the business. You will be the empowered Leader of a team of Platform engineers who focus on building Platform products for platform optimization, cost optimization, and developing tools for Platform ops and Data Ops on the PepsiCo Data Lake. Your responsibilities will also include enabling exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As the Leader of the Platform engineering team, you will play a crucial role in managing the platform Governance team that builds frameworks to guardrail the platforms of large and complex data applications in public cloud environments. Your work will directly impact the design, architecture, and implementation of PepsiCo's flagship data products around revenue management, supply chain, manufacturing, and logistics. You will collaborate closely with process owners, product owners, and business users, operating in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Your responsibilities will include: - Actively contributing to the cost optimization of platforms and services. - Managing and scaling Azure Data Platforms to support new product launches and drive Platform Stability and Observability across data products. - Building and owning automation and monitoring frameworks that capture metrics and operational KPIs for Data Platforms for cost and performance. - Implementing best practices around systems integration, security, performance, and Platform management. - Empowering the business by creating value through increased adoption of data, data science, and business intelligence landscape. - Collaborating with internal clients (data science and product teams) to drive solutioning and POC discussions. - Evolving the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. - Developing and optimizing procedures to production Alize data science models. - Defining and managing SLAs for Platforms and processes running in production. - Supporting large-scale experimentation done by data scientists. - Prototyping new approaches and building solutions at scale. - Conducting research in state-of-the-art methodologies. - Creating documentation for learnings and knowledge transfer. - Creating and auditing reusable packages or libraries. Qualifications: - 10+ years of overall technology experience with at least 4+ years of hands-on software development, Program management, and Advanced Analytics. - 4+ years of experience with Power BI, Tableau, Data Warehousing, and Data Analytics tools. - 4+ years of experience in Platform optimization and performance tuning. - Experience in managing multiple teams and coordinating with different stakeholders to implement the vision of the team. - Fluent with Azure cloud services. Azure Certification is a plus. - Experience with integration of multi-cloud services with on-premises technologies. - Experience with data modeling, data warehousing, and building Symantec Models. - Proficient in DAX queries, Copilot, and AI Skills. - Experience building/operating highly available, distributed systems of data Visualization. - Experience with at least one MPP database technology such as Redshift, Synapse, or Snowflake. - Experience with version control systems like Github and deployment & CI tools. - Knowledge of Azure Data Factory, Azure Databricks. - Experience with Statistical/ML techniques is a plus. - Experience with building solutions in the retail or in the supply chain space is a plus. - Understanding of metadata management, data lineage, and data glossaries is a plus. - Working knowledge of agile development, including DevOps and DataOps concepts. - Familiarity with Augmented Analytics tools is Plus (such as ThoughtSpot, Tellius).,

As a Senior Data Governance Executive at our Chief Data Office, you will play a key role in developing, implementing, and maintaining our data governance framework, policies, and procedures. Working closely with the Data Governance Lead, you will collaborate with data owners, stewards, technology teams, and business stakeholders to establish and enforce data standards, policies, and best practices aligned with industry standards and regulatory requirements. Your responsibilities will include developing and implementing a comprehensive data governance framework encompassing data standards, quality rules, metadata management, and stewardship practices. You will bridge the gap between the enterprise Data Office and business data governance stakeholders, partnering with business functions to drive data maturity assessments and remediation plans. Ensuring data quality and integrity is crucial, and you will be responsible for implementing data quality metrics and monitoring processes to maintain data accuracy, completeness, and consistency. Collaborating with data owners and stewards, you will identify and address data quality issues and ensure compliance with regulatory requirements and data security controls. In terms of data stewardship, you will appoint data stewards to oversee specific data assets, provide training and support to ensure effective data asset management, and guide the adoption and optimization of data governance tools like OpenMetadata. You will also implement processes for capturing metadata, data lineage, and usage across key data assets. Tracking KPIs for data governance performance, reporting to executive leadership, and collaborating with business leaders, data owners, and IT teams are essential aspects of this role. Effective communication of data governance policies, procedures, and issues to stakeholders through various channels will be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in computer science, Information Technology, Business Administration, or a related field, along with a minimum of 5 years of experience in data governance or data management, preferably in the financial services industry. Strong understanding of data governance principles, frameworks, and best practices, as well as hands-on knowledge of data cataloguing tools, data lineage, and data quality are required. Your collaboration and communication skills will be put to the test as you work on aligning technical governance with business objectives, managing stakeholders, and articulating data governance value to non-technical audiences. Being self-driven, process-oriented, and possessing strong analytical and problem-solving skills are essential traits for this role. While certification in data governance or data management is a nice-to-have, your ability to lead governance initiatives independently, collaborate across business and technical teams, and influence without authority will be key to success in this position.,

As an Analyst, Data Sourcing - Metadata at Synchrony, you will play a crucial role in supporting metadata management processes within Synchrony's Public and Private cloud as well as on-prem environments. Your responsibilities will include assisting with metadata harvesting, maintaining data dictionaries, and supporting the tracking of data lineage. Working closely with senior team members, you will ensure access to accurate and well-governed metadata for analytics and reporting purposes. Your key responsibilities will involve implementing and maintaining metadata management processes across various environments, collaborating with Data Architecture and Data Usage teams to track data lineage and compliance, documenting technical specifications, supporting solution design, participating in agile development, and adhering to data management policies. You will also be required to maintain stable operations, troubleshoot metadata and lineage issues, and contribute to continuous process improvements to enhance data accessibility. To excel in this role, you should possess a Bachelor's Degree in Engineering or Computer Science with more than 1 year of hands-on Data Management experience or relevant experience. Additionally, you should have a minimum of 1 year of experience in data management, focusing on metadata management, data governance, or data lineage, with exposure to cloud environments such as AWS, Azure, or Google Cloud, and on-premise infrastructure. Having a basic understanding of metadata management concepts, familiarity with data cataloging tools, proficiency in data lineage tracking tools, and knowledge of data integration technologies will be beneficial. Strong communication and collaboration skills, analytical thinking, problem-solving abilities, independence in task management, and attention to detail are essential for this role. Desired skills include AWS certifications, experience with hybrid cloud environments, proficiency in Ab Initio Metahub development, familiarity with Unix, Linux, and database platforms like Oracle and Hive, basic knowledge of SQL, and understanding of data governance frameworks. Familiarity with Collibra will be an added advantage. This role offers Enhanced Flexibility and Choice in work timings, requiring availability between 06:00 AM Eastern Time to 11:30 AM Eastern Time for meetings with India and US teams. The remaining hours are flexible for you to choose, with occasional adjustments based on business needs. Internal applicants are advised to review the eligibility criteria, update their professional profiles, and seek necessary approvals before applying for the position. Applicants meeting the specified grade and level requirements are encouraged to apply. Join Synchrony's Analytics organization to contribute to strategies enhancing customer and partner experience through cutting-edge technologies and data solutions, driving business growth and innovation.,

As a skilled and passionate Platform Architect specializing in GenAI/LLM Systems, you will be responsible for architecting scalable, cloud-native infrastructure to support enterprise-grade GenAI and LLM-powered applications. Your role will involve designing and deploying secure, reliable API gateways, orchestration layers (such as Airflow, Kubeflow), and CI/CD workflows for ML and LLM pipelines. Collaboration with data and ML engineering teams will be essential to enable low-latency LLM inference and vector-based search platforms across GCP (or multi-cloud). You will define and implement a semantic layer and data abstraction strategy to facilitate consistent and governed consumption of data across LLM and analytics use cases. Additionally, implementing robust data governance frameworks including role-based access control (RBAC), data lineage, cataloging, observability, and metadata management will be part of your responsibilities. Your role will involve guiding architectural decisions around embedding stores, vector databases, LLM tooling, and prompt orchestration (e.g., LangChain, LlamaIndex), as well as establishing compliance and security standards to meet enterprise SLA, privacy, and auditability requirements. To excel in this role, you should have at least 7 years of experience as a Platform/Cloud/Data Architect, ideally within GenAI, Data Platforms, or LLM systems. Strong cloud infrastructure experience on GCP (preferred), AWS, or Azure, including Kubernetes, Docker, Terraform/IaC is required. Demonstrated experience in building and scaling LLM-powered architectures using OpenAI, Vertex AI, LangChain, LlamaIndex, etc. will be a significant advantage. You should also have familiarity with semantic layers, data catalogs, lineage tracking, and governed data delivery across APIs and ML pipelines. A track record of deploying production-grade GenAI/LLM services that meet performance, compliance, and enterprise integration requirements is essential. Strong communication and cross-functional leadership skills are also desired, as you will be required to translate business needs into scalable architecture.,

As a Principal Business Analyst (Data Governance) at Waters Corporation, you will play a crucial role in ensuring the accuracy, security, and compliance of Waters domain data. Your primary responsibility will be to lead the analysis, design, and optimization of data governance business processes across various data domains within the organization. With a proven track record in data governance process improvement, data analysis, and implementing process changes, you will drive key initiatives aimed at centralizing metadata management, data cataloging, data lineage, and end-to-end business process governance to ensure accurate data for measurable business value. You will work closely with IT, legal, compliance, and domain teams to develop and implement data governance policies, procedures, and standards. Ensuring the execution and monitoring of data standards to comply with regulations such as GDPR and CCPA will be a critical aspect of your role. Managing and maintaining data catalogs, data dictionaries, lineage records, and governance processes within Data Governance tools will also be part of your responsibilities. Your role will involve creating and presenting executive-level governance reports, metrics tracking, and process maps for stakeholders. Conducting workshops on data classification, access, ownership, and end-to-end data management to streamline data governance workflows will be essential. Additionally, you will provide training and mentorship to teams on governance policies and collaborate with leadership and stakeholders to align metadata management and governance processes with organizational objectives. To be successful in this role, you should have at least 8 years of experience in business process analysis, process improvement, or related roles. Strong expertise in process modeling, mapping, mining, and analysis techniques is required. You should be able to create effective presentations to streamline and communicate complex governance processes and collaborate effectively across departments. Experience with metadata management, data catalogs, and data lineage is necessary, along with leadership in policy creation and execution. Excellent problem-solving, critical thinking, and analytical skills are essential, along with strong project management skills to lead complex initiatives. Exceptional communication and interpersonal skills are required to engage with both technical and business stakeholders effectively. Experience with business process management and process mining software, as well as Agile methodologies, will be beneficial. A Bachelor's degree in Business Administration, Management, or a related field is required, with a Master's degree preferred. Certification in Lean Six Sigma (Black Belt or Green Belt) and/or Business Process Management (BPM) is desired. If you are looking to join a global team focused on creating business advantages for laboratory-dependent organizations and making advancements in healthcare delivery, environmental management, food safety, and water quality, Waters Corporation offers a dynamic and challenging work environment where you can unlock the potential of your career. Join us in our mission to solve the challenges of tomorrow and make a difference in the world of human health and well-being.,

As a Technical Lead in Data Governance at CitiusTech, you will play a crucial role in an Agile team by designing and constructing healthcare applications, as well as implementing new features while adhering to the highest coding development standards. Your responsibilities will include owning and managing metadata documentation, such as table and column descriptions, across enterprise data platforms. You will be responsible for generating, presenting, and explaining metric definitions and metadata standards to various stakeholder groups. Collaboration with data owners and stewards to ensure consistency and accuracy of business definitions and data lineage will be a key aspect of your role. Additionally, you will support the implementation and maintenance of the Advanced Analytics Governance Framework and work closely with analytics teams to ensure that governed metrics align with business objectives and are consistently applied across dashboards and reports. You will also be responsible for maintaining and enhancing metadata repositories using tools like Databricks Unity Catalog and Metric Insights, as well as promoting the adoption of AI tools that leverage metadata to improve data discovery and usage. Acting as a liaison between technical teams and business stakeholders to ensure that metadata is understandable and actionable, as well as contributing to the continuous improvement of governance processes, standards, and documentation practices will also be part of your responsibilities. The ideal candidate for this role should have 5-7 years of experience, an Engineering Degree (BE/ME/BTech/MTech/BSc/MSc), and a background in information systems, Data Science, or Business Analytics. Mandatory technical skills include over 3 years of experience in data governance, metadata management, or data cataloging, a strong understanding of data modeling, data lineage, and business glossary concepts, excellent communication skills, and familiarity with tools like Databricks Unity Catalog and Metric Insights. Knowledge of healthcare data and analytics, as well as experience in Epic and other EHRs, are also required. Join CitiusTech and be a part of an organization that is committed to combining the best of IT services, consulting, products, accelerators, and frameworks with a client-first mindset and next-gen tech understanding to humanize healthcare and make a positive impact on human lives. Embrace our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge, and enjoy a fun, transparent, non-hierarchical, diverse work culture focused on continuous learning and work-life balance. Experience a rewarding career with comprehensive benefits at CitiusTech, where you can thrive both personally and professionally. Let's shape the future of healthcare together and positively impact human lives. To learn more about CitiusTech, visit https://www.citiustech.com/careers. Happy applying!,

We are looking for a seasoned Senior Data Architect with extensive knowledge in Databricks and Microsoft Fabric to join our team. In this role, you will be responsible for leading the design and implementation of scalable data solutions for BFSI and HLS clients. As a Senior Data Architect specializing in Databricks and Microsoft Fabric, you will play a crucial role in architecting and implementing secure, high-performance data solutions on the Databricks and Azure Fabric platforms. Your responsibilities will include leading discovery workshops, designing end-to-end data pipelines, optimizing workloads for performance and cost efficiency, and ensuring compliance with data governance, security, and privacy policies. You will collaborate with client stakeholders and internal teams to deliver technical engagements and provide guidance on best practices for Databricks and Microsoft Azure. Additionally, you will stay updated on the latest industry developments and recommend new data architectures, technologies, and standards to enhance our solutions. As a subject matter expert in Databricks and Azure Fabric, you will be responsible for delivering workshops, webinars, and technical presentations, as well as developing white papers and reusable artifacts to showcase our company's value proposition. You will also work closely with Databricks partnership teams to contribute to co-marketing and joint go-to-market strategies. In terms of business development support, you will collaborate with sales and pre-sales teams to provide technical guidance during RFP responses and identify upsell and cross-sell opportunities within existing accounts. To be successful in this role, you should have a minimum of 10+ years of experience in data architecture, engineering, or analytics roles, with specific expertise in Databricks and Azure Fabric. You should also possess strong communication and presentation skills, as well as the ability to collaborate effectively with diverse teams. Additionally, certifications in cloud platforms such as AWS and Microsoft Azure will be advantageous. In return, we offer a competitive salary and benefits package, a culture focused on talent development, and opportunities to work with cutting-edge technologies. At Persistent, we are committed to fostering diversity and inclusion in the workplace and invite applications from all qualified individuals. We provide a supportive and inclusive environment where all employees can thrive and unleash their full potential. Join us at Persistent and accelerate your growth professionally and personally while making a positive impact on the world with the latest technologies.,

As a Data Solutions Lead at Capco, a global technology and management consulting firm, you will play a crucial role in driving data-related initiatives for the banking and financial sectors. With over 8 years of experience in Data Lineage, Data Governance, Data Modelling, and Data Architecture, you will have the opportunity to work closely with business stakeholders to understand requirements and propose effective solutions. Your responsibilities will include collaborating with downstream and upstream application stakeholders to ensure data quality, discussing the impact of changes, and supporting data migrations. Your expertise in developing enterprise-level data models for Financial markets industries, data definitions, and data standards will be instrumental in driving transformational projects within the organization. In this role, you will leverage your experience in working with large datasets, relational databases, and data query skills such as SQL. Additionally, your proficiency in data quality management, metadata management, and metadata tooling will be highly valued. Previous experience in the banking or financial institution sector is preferred. Joining Capco will offer you the opportunity to work on engaging projects with leading banks globally, contributing to the transformation of the financial services industry. You will be part of a work culture that prioritizes innovation, creating lasting value for clients and employees alike. Continuous learning opportunities will be provided to help you expand your skill set and deepen your expertise. At Capco, you will benefit from a flat, non-hierarchical structure that encourages collaboration with senior partners and direct client interaction. The organization fosters a diverse, inclusive, and meritocratic culture, providing a supportive environment for professional growth and development.,

As a Data Architect at Cigna International Markets, your primary responsibility is to define commercially aware and technically astute solutions that align with the architectural direction while considering project delivery constraints. You will be an integral part of the Architecture function, collaborating with senior stakeholders to establish strategic direction and ensure that business solutions reflect this intent. Your role will involve leading and defining effective business solutions within complex project environments, showcasing the ability to cultivate strong relationships across Business, IT, and 3rd Party stakeholders. Your main duties and responsibilities will include performing key enterprise-wide Data Architecture tasks within International Markets, particularly focusing on on-premise and cloud solution deployments. You will engage proactively with various stakeholders to ensure that business investments result in cost-effective and suitable data-driven solutions. Additionally, you will assist sponsors in creating compelling business cases for change and work with Solution Architects to define data solution designs that meet business and operational expectations. As a Data Architect, you will own and manage data models and design artifacts, offering guidance on best practices and standards for customer-centric data delivery and management. You will advocate for data-driven design within an agile delivery framework and actively participate in the full project lifecycle, from shaping estimates to governing solutions during development. Furthermore, you will be responsible for identifying and managing risks, issues, and assumptions throughout the project lifecycle and play a lead role in selecting 3rd Party solutions. Your skills and experience should include a minimum of 10 years in IT with 5 years in a Data Architecture or Data Design role. You should have experience leading data design projects and delivering significant assets to organizations such as Data Warehouse, Data Lake, or Customer 360 Data Platform. Proficiency in various data capabilities like data modeling, database design, data migration, and data integration (ETL/ELT and data streaming) is essential. Familiarity with toolsets and platforms like AWS, SQL Server, Qlik, and Collibra is preferred. A successful track record of working in globally dispersed teams, technical acumen across different domains, and a collaborative mindset are desirable attributes. Your commercial awareness, financial planning skills, and ability to work with diverse stakeholders to achieve mutually beneficial solutions will be crucial in this role. Join Cigna Healthcare, a division of The Cigna Group, and contribute to our mission of advocating for better health and improving lives.,

The role requires you to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will closely collaborate with data architects to create customized databases utilizing a blend of conceptual, physical, and logical data models. As a data modeler, your responsibilities include designing, implementing, and documenting data architecture and modeling solutions across various database types to support enterprise information management, business intelligence, machine learning, and data science initiatives. Your key responsibilities will involve implementing business and IT data requirements by devising new data strategies and designs for different data platforms and tools. You will engage with business and application teams to execute data strategies, establish data flows, and develop conceptual, logical, and physical data models. Moreover, you will define and enforce data modeling standards, tools, and best practices, while also identifying architecture, infrastructure, data interfaces, security considerations, analytic models, and data visualization aspects. Additionally, you will undertake hands-on tasks such as modeling, design, configuration, installation, performance tuning, and sandbox proof of concept. It is crucial to work proactively and independently to fulfill project requirements, communicate challenges effectively, and mitigate project delivery risks. Qualifications required for this role include a BE/B.Tech degree or equivalent and a minimum of 8 years of hands-on experience in relational, dimensional, and/or analytic domains, involving RDBMS, dimensional, NoSQL platforms, and data ingestion protocols. Proficiency in data warehouse, data lake, and big data platforms within multi-data-center environments is essential. Familiarity with metadata management, data modeling tools (e.g., Erwin, ER Studio), and team management skills are also necessary. Your primary skills should encompass developing conceptual, logical, and physical data models, implementing RDBMS, ODS, data marts, and data lakes, and ensuring optimal data query performance. You will be responsible for expanding existing data architecture and employing best practices. The ability to work both independently and collaboratively is vital for this role. Preferred skills for this position include experience with data modeling tools and methodologies, as well as strong analytical and problem-solving abilities.,

As a Lead Analyst specializing in Data Management with a focus on Collibra, your role at CGI involves working with a team to ensure effective management, configuration, and support of data governance tools. Your responsibilities include generating and maintaining reports to monitor data governance and quality metrics, offering insights on platform usage and effectiveness to stakeholders, and collaborating with data stewards, data owners, business users, and other key stakeholders to understand their requirements and configure Collibra accordingly. To be successful in this position, you must have a minimum of 4+ years of experience in managing, configuring, and supporting Collibra or similar data governance tools. Additionally, you should possess expertise in data governance, data management, and metadata management, along with a strong understanding of data governance frameworks, data quality principles, and metadata management. While not required, certifications such as Collibra Certified Professional or ITIL Foundation are preferred. At CGI, our culture is rooted in ownership, teamwork, respect, and belonging. As a CGI Partner, you are encouraged to take ownership from day one and actively contribute to the company's success. Your work will involve developing innovative solutions, building relationships with teammates and clients, and leveraging global capabilities to achieve your goals. You will have the opportunity to shape your career in a company dedicated to growth and lasting success, supported by leaders who prioritize your well-being and provide avenues for skill enhancement and personal growth. Join CGI, one of the largest IT and business consulting services firms globally, and be a part of a team that values collaboration, innovation, and professional development.,

As a Data Catalog Developer specializing in the Alation platform at Ciena, you will play a pivotal role in designing, developing, and implementing data catalog solutions. Collaborating with cross-functional teams, you will ensure that data catalog initiatives meet business needs and enhance data quality across the organization. Your expertise in data catalog development will be critical in improving data management capabilities and supporting strategic decision-making. Partnering With Business Teams You will collaborate with data owners, stewards, and business leaders to gather requirements and define data catalog strategies aligned with business objectives. Acting as a key technical resource between business units and IT teams, you will ensure seamless integration of data catalog solutions with existing systems and processes. Providing guidance and best practices on data modeling, data governance, and data catalog lifecycle management, you will drive user engagement, adoption, and continuous design and configuration across the Alation data catalog program. Project Execution Your responsibilities will include developing and implementing data catalog solutions on the Alation platform, adhering to best practices and industry standards. You will create technical specifications, design documents, and implementation plans for data catalog projects, ensuring timely delivery and high-quality outcomes. Effectively communicating technical concepts to both technical and non-technical audiences is essential for ensuring alignment and understanding across teams. You will also be responsible for system testing, resolving defects, facilitating discussions around business issues, and engaging relevant resources related to data and integration. Metrics For Success Collaborating with business and IT partners, you will define key performance indicators (KPIs) for data catalog initiatives to align with organizational goals. Establishing data quality metrics to measure the accuracy, consistency, and completeness of data within the catalog will be crucial. Tracking data catalog adoption metrics and their impact on business processes and decision-making, as well as gathering and analyzing stakeholder feedback to continuously enhance data catalog processes and solutions will be part of your success metrics. The Must Haves Education: - Bachelors or masters degree in Computer Science, Information Systems, Data Management, or a related field. Experience: - Minimum of 3-5 years of experience in data catalog development, specifically with the Alation platform, demonstrating a successful track record in delivering data catalog projects. Functional Skills - Good understanding of data governance frameworks and methodologies, including data lineage, metadata management, MDM, Reference Data Management, and compliance with data privacy regulations. - Strong understanding of data catalog and data dictionary principles, data management best practices, data quality management, and data governance practices within an Alation environment. - Experience in data querying, profiling, data cleansing, and data transformation processes. Alation Technical Skills - Subject Matter Expert for the Alation platform. - Expertise in configuring the Alation Data Model, data lineage, metadata management. - Proficient in working with Alation APIs. - Experience in managing Reference Data Management (RDM), User Management, UI Config, workflows, loading/exporting data, and optimizing processes. - Design, data modeling creation, and management of large datasets/data models. - Hands-on experience with on-boarding metadata from various sources. General Skills - Excellent verbal and written communication skills. - Strong analytical and problem-solving skills. - Experience with Agile project management methodologies and tools. Assets - Additional experience in MDM space working on Reltio platform. - Knowledge of Cloud storage solutions. - Experience with programming languages like Java, Python, JavaScript, API protocols, and data formats. - Experience with data warehouses and data visualization tools. Ciena is an Equal Opportunity Employer that values diversity and respects its employees. Accommodation measures are available upon request. Join our Talent Community for job alerts.,

At PwC, the focus in software and product innovation is on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in this role deliver innovative software products and solutions. In the testing and quality assurance department at PwC, the primary focus is on evaluating systems or software applications to identify defects, errors, or gaps in functionality. This involves executing various test cases and scenarios to ensure that the system meets specified requirements and performs as expected. As an individual in this role, you are expected to be driven by curiosity and be a reliable, contributing member of a team. In a fast-paced environment, adaptability is key as you will work with a variety of clients and team members, each presenting unique challenges and scope. Every experience is viewed as an opportunity for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is essential. As you progress through the Firm, you have the opportunity to build a brand for yourself, opening doors to further opportunities. Some of the key skills, knowledge, and experiences required to excel in this role include: - Applying a learning mindset and taking ownership for personal development - Appreciating diverse perspectives, needs, and feelings of others - Adopting habits to sustain high performance and develop potential - Actively listening, asking questions for clarity, and expressing ideas clearly - Seeking, reflecting on, acting on, and providing feedback - Gathering information from various sources to analyze facts and discern patterns - Committing to understanding how the business operates and developing commercial awareness - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements Oracle EPM Hyperion Testing Senior Associate Job Description: We are seeking a Testing resource with experience in testing Oracle Hyperion applications, particularly with a strong technical skill set in leading and executing end-to-end testing activities for Hyperion Essbase and Planning. The role involves creating Manual and Automation scripts as per client requirements, with a focus on test planning, execution, automation, and defect management for PBCS and Essbase modules. Additionally, responsibilities include configuration, test script execution, test data creation, performing proof of concept, building user training materials, and supporting testing milestones. Qualifications and Skills required for this role include: - Bachelor's degree in computer science, Information Technology, or a related field - 6-9 years of experience in Testing of Oracle Hyperion for PBCS, Essbase modules - 4-6 years of experience in Automation Testing - 6-7 years of experience in Manual Testing - Deep functional knowledge of Hyperion Essbase and Planning applications, especially PBCS, Essbase - Experience in SmartView Retrieve and analysis - Excellent communication skills and ability to interact with external teams or clients - End-to-end implementation experience in EPM cloud/on-prem applications - Strong expertise in test management, defect tracking, and reporting tools - Experience with Agile methodologies and DevOps practices - Ability to work effectively as a team member or independently, and mentor and guide junior testers - Exceptional analytical and problem-solving skills Additional Information: - Travel Requirements: Travel to client locations may be required as per project requirements - Shift Requirements: May be required to work on shifts as per project requirements - Line of Service: Advisory - Industry: Testing Managed Services - Designation: Senior Associate - Location: Bangalore, India This role presents an opportunity for individuals with the right skills and experience to contribute to cutting-edge software solutions and product innovation while ensuring the quality and functionality of systems and applications.,

Your Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL). Collaborate with solution teams and Data Architects to implement data strategies, build data flows, and develop logical/physical data models. Work with Data Architects to define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Engage in hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Proactively and independently address project requirements and articulate issues/challenges to reduce project delivery risks. Your Profile Bachelor's degree in computer/data science technical or related experience. Possess 7+ years of hands-on relational, dimensional, and/or analytic experience utilizing RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Demonstrated experience with data warehouse, Data Lake, and enterprise big data platforms in multi-data-center contexts. Proficient in metadata management, data modeling, and related tools (e.g., Erwin, ER Studio). Preferred experience with services in Azure/Azure Databricks (Azure Data Factory, Azure Data Lake Storage, Azure Synapse & Azure Databricks) and working on SAP Datasphere is a plus. Experience in team management, communication, and presentation. Understanding of agile delivery methodology and experience working in a scrum environment. Ability to translate business needs into data vault and dimensional data models supporting long-term solutions. Collaborate with the Application Development team to implement data strategies, create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Maintain logical and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure data model consistency. Recommend opportunities for data model reuse in new environments. Perform reverse engineering of physical data models from databases and SQL scripts. Evaluate data models and physical databases for variances and discrepancies. Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions. Develop data models according to company standards. Guide System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces. Review modifications to existing data models to improve efficiency and performance. Examine new application design and recommend corrections as needed. #IncludingYou Diversity, equity, inclusion, and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. ADM is committed to attracting and retaining a diverse workforce and creating welcoming, inclusive work environments that enable every ADM colleague to feel comfortable, make meaningful contributions, and grow their career. ADM values the unique backgrounds and experiences that each person brings to the organization, understanding that diversity of perspectives makes us stronger together. For more information regarding ADM's efforts to advance Diversity, Equity, Inclusion & Belonging, please visit the website: Diversity, Equity and Inclusion | ADM. About ADM At ADM, the power of nature is unlocked to provide access to nutrition worldwide. With industry-advancing innovations, a comprehensive portfolio of ingredients and solutions catering to diverse tastes, and a commitment to sustainability, ADM offers customers an edge in addressing nutritional challenges. As a global leader in human and animal nutrition and the premier agricultural origination and processing company worldwide, ADM's capabilities in insights, facilities, and logistical expertise are unparalleled. From ideation to solution, ADM enriches the quality of life globally. Learn more at www.adm.com.,

As a Manager Business Consulting at HSBC, you will be a key member of our team, playing a crucial role in ensuring effective data management processes and strategies. With your expertise in areas such as Data Management, Data Governance, Metadata Management, Data Quality Measurement, and Reporting, you will be responsible for collaborating with global and local business process owners to identify data requirements and prioritize activities. Your responsibilities will include working closely with Information Technology to determine Trusted Sources of data, translating business requirements into Data Quality rules, documenting Data Quality thresholds, reviewing Data Quality results, and assisting in remediation efforts when necessary. Additionally, you will be involved in establishing collaboration among technology, data management, and business professionals to drive data consolidation, information delivery, and data strategies. To excel in this role, you should have at least 5 years of relevant experience and hold a Bachelor's or Master's degree specializing in numerical disciplines, computer science, information systems, or other engineering fields. Your problem-solving and critical thinking skills will be essential in analyzing complex issues and developing practical solutions. Moreover, your understanding of data management concepts, project management skills, and regulatory project experience will be valuable assets in this position. Effective communication and stakeholder management skills are crucial for success in this role, as you will be working as part of a larger team and collaborating with various business and technology professionals. Your proactive and self-sufficient nature will enable you to work independently with minimal supervision, prioritize tasks effectively, and handle a mix of operational and strategic deliverables. Your broad knowledge of data governance and management practices, expertise in enterprise data governance framework, and understanding of business and technology issues related to information assets management will set you up for success in this dynamic and impactful role at HSBC. Join us at HSBC and discover a rewarding career where your skills and expertise will be valued, and you will have the opportunity to make a real impact in the banking and financial services industry.,

Aera Technology is revolutionizing enterprise decision-making. Our AI-driven platform, Aera Decision Cloud, integrates seamlessly with existing systems to digitize, augment, and automate critical business decisions in real-time. Aera helps global enterprises transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world's best-known brands. We are looking for a Product Manager - Data to lead the evolution of our core Decision Intelligence capabilities. You will redefine how organizations harness data and AI to drive smarter, faster, and more sustainable decision-making. This is an exciting opportunity to be at the forefront of enterprise AI innovation, collaborating with a dynamic team in a fast-paced, startup-like environment. This role will be based in our Pune office. Responsibilities As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows. Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value. Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points. Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation. Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions. Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities. Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers. About You You are passionate - you are your product's biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value. You are pragmatic - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table. You love to learn - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution. You are a master at communication and collaboration - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal. Experience At least 2 yrs of B2B SaaS PM experience Mandatory. Experience in data infrastructure, AI/ML platforms, or enterprise data products. Knowledge of data modeling, SQL, and ETL/ELT processes. Knowledge of data quality, metadata management, data lineage, and observability is a plus. Bachelor's degree in Engineering/Computer Science or a related technical discipline. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

Join Amgen's Mission of Serving Patients At Amgen, you play a significant role in making a difference. The shared mission of serving patients living with serious illnesses is at the heart of everything we do. Since 1980, Amgen has been a pioneer in the biotech world, combating some of the toughest diseases globally. Our focus on Oncology, Inflammation, General Medicine, and Rare Disease allows us to impact millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that improve and extend the lives of patients. Our culture at Amgen is recognized for its collaboration, innovation, and science-driven approach. If you thrive on challenges and the opportunities they bring, you will find a fulfilling career with us. Join us at Amgen to not only transform your career but also transform the lives of patients for the better. Senior Manager - Data Strategy & Governance In this pivotal role, your primary responsibility will be to operationalize the Enterprise Data Council vision within specific domains such as Research, Clinical Trials, Commercial, and more. You will coordinate activities at a tactical level, interpreting the Enterprise Data Council's directives, defining operational impact deliverables, and taking actions to establish solid data foundations within designated domains. Collaborating with senior leadership and other Data Governance functional leads, you will align data initiatives with business objectives. The Data Strategy and Governance Lead will set and enforce data governance policies and standards to ensure high-quality data that is easily accessible, reusable, and connects seamlessly to accelerate the development of innovative AI solutions that better serve patients. Roles & Responsibilities: - Oversee data governance and data management within a specific domain of expertise (Research, Development, Supply Chain, etc.). - Lead a team of Data Governance Specialists and Data Stewards focused on a particular domain. - Implement the Enterprise data governance framework operationally, ensuring alignment with the broader collaborator community's data governance needs, including data quality, access controls, regulatory compliance, master data management, data sharing, communication, and change management. - Collaborate with Enterprise MDM and Reference Data teams to enforce standards and promote data reusability. - Drive cross-functional alignment in designated domain(s) to uphold Data Governance principles. - Provide expert guidance on business processes and system design to support data governance and data/information modeling objectives. - Maintain documentation and serve as an expert on data definitions, standards, flows, legacy structures, common models, harmonization, etc., within assigned domains. - Ensure compliance with data privacy, security, and regulatory policies in the assigned domains. - Establish enterprise-level standards for information nomenclature, content, structure, metadata, glossaries, and taxonomies. - Partner with Technology teams, business functions, and enterprise units to define specifications that shape the development and implementation of data foundations. What we expect from you Basic Qualifications: - Masters degree with 8 to 10 years of Information Systems experience OR - Bachelors degree with 10 to 14 years of Information Systems experience, OR - Diploma with 14 to 18 years of Information Systems experience - 4 years of managerial experience directly leading people and leadership experience in managing teams, projects, or programs. - Technical proficiency with a deep understanding of Pharma processes, preferably specializing in a specific domain (e.g., Research, Clinical Trials, Commercial, etc.). - Awareness of industry trends and priorities with the ability to apply them to governance and policies. - Extensive knowledge and experience with data governance principles and technology; capable of designing and implementing Data Governance operating models to drive Amgen's transformation into a data-driven organization. - Profound understanding of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. - Experience in the development lifecycle of data products, including enabling data dictionaries and business glossaries to enhance data products" reusability and promote data literacy. Preferred Qualifications: - Collaborate on developing data foundations and products in conjunction with functions and Digital teams. - Successfully implement complex projects in a fast-paced environment and manage multiple priorities effectively. - Proficient in managing project or departmental budgets. - Familiarity with modeling tools like Visio. - Basic programming skills, experience with data visualization and data modeling tools. - Experience working with agile development methodologies such as Scaled Agile. Soft Skills: - Ability to cultivate business relationships and grasp end-to-end data usage and requirements. - Excellent interpersonal skills with a focus on teamwork. Proficient in people management within a matrix or direct line function. - Strong verbal and written communication skills. - Effective collaboration with global, virtual teams. - High level of initiative, self-motivation, and the ability to manage multiple priorities successfully. - Team-oriented mindset, dedicated to achieving team goals. - Strong presentation and public speaking abilities. - Attention to detail, commitment to quality, effective time management, and customer-centric focus. What you can expect from us At Amgen, we prioritize your professional and personal growth and well-being as we work together to develop treatments that benefit others. Our competitive benefits and collaborative culture support you at every stage of your journey. In addition to a competitive base salary, Amgen provides comprehensive Total Rewards Plans that align with local industry standards. Apply now for a career that transcends imagination. The opportunities ahead are within your reach. Join us at careers.amgen.com. Amgen's commitment to advancing science to serve patients is upheld by fostering an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and embody the Amgen values. Together, we stand united in the battle against serious diseases. Individuals with disabilities will receive reasonable accommodation to engage in the job application or interview process, perform essential job functions, and access other benefits and privileges of employment. Please contact us to request accommodation.,

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. Your primary job responsibilities include documenting data requirements for your product and coordinating with technology and business partners to manage change from legacy to modernized data. You will have to model data for efficient querying and use in LLMs by utilizing the business data dictionary and metadata. Moreover, you are expected to develop ideas for data products by understanding analytics needs and creating prototypes for productizing datasets. Additionally, developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities will be part of your tasks. You will also support the team in building backlog, grooming initiatives, and leading data engineering scrum teams. Managing direct or matrixed staff to execute data-related tasks will also be within your purview. To be successful in this role, you should hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. Furthermore, you should possess the ability to balance short-term goals and long-term vision in complex environments, along with knowledge of open data standards, data taxonomy, vocabularies, and metadata management. A Master's degree is preferred for this position, along with the aforementioned qualifications, capabilities, and skills.,

As a Data Modeller at ReBIT, you will be responsible for technology delivery by collaborating with business stakeholders, RBI departments, and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models, data migration, and generate business reports. You will play a crucial role in identifying the architecture, infrastructure, interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. The ideal candidate should possess 8-14 years of experience in the IT industry with hands-on experience in relational, dimensional, and/or analytic data using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Experience in data technologies such as SQL, Pl/SQL, Oracle Exadata, MongoDB, Cassandra, and Hadoop is required. Additionally, expertise in designing enterprise-grade application data models/structures, particularly in the BFSI domain, is essential. You should have a good understanding of metadata management, data modeling, and related tools like Oracle SQL Developer Data Modeler, Erwin, or ER Studio. Your role will involve working on modeling, design, configuration, installation, and performance tuning to ensure the successful delivery of applications in the BFSI domain. Furthermore, you will be responsible for building best-in-class performance-optimized relational/non-relational database structures/models and creating ER diagrams, data flow diagrams, and dimensional diagrams for relational systems/data warehouse. In this role, you will need to work proactively and independently to address project requirements and effectively communicate issues/challenges to reduce project delivery risks. You will be a key player in driving the data modeling process, adhering to design standards, tools, best practices, and related development for enterprise data models. If you are a data modeling professional with a passion for delivering innovative solutions in a collaborative environment, this role at ReBIT in Navi Mumbai offers an exciting opportunity to contribute to the BFSI domain while honing your skills in data modeling and technology delivery.,

We are currently searching for a highly experienced SQL Server Architect to support our biggest client in Hyderabad, India. If you believe you possess the required skills and experience to excel in this challenging position, we invite you to apply. In this role, you will need to demonstrate deep expertise in various areas including performance optimization and tuning capabilities, partitioning data implementations, metadata management, database schema creation and management, data modeling, database design, as well as data and database encryption. As a SQL Server Architect, your responsibilities will include serving as a key technical resource for the customer, focusing on delivering proactive services such as education workshops, assessments, and expert guidance. You will have the opportunity to work alongside a highly motivated team of leading industry experts, preview new technologies ahead of the curve, conduct customer training sessions, and actively contribute to a thriving developer community dedicated to enhancing customer experience, achieving software development goals, and maximizing technology utilization. If you are eager to take on this exciting challenge and meet the minimum requirements outlined above, we encourage you to submit your application. We anticipate receiving your applications and will reach out to successful candidates within 2 weeks of applying.,

As a Data Governance Specialist at Siemens Energy, you play a crucial role in the Data & Artificial Intelligence team within the Digital Core function. Your primary responsibility is to support the business by transforming data management practices and embedding data governance in key deliveries across the energy industry. Working in a fast-paced environment, you will collaborate with your team to establish and execute the data governance framework, policies, and standards. Your main focus will be on conducting data maturity assessments and developing a sustainable data governance framework to monitor our progress in the governance journey. You will contribute to implementing an enterprise data governance program and operationalizing data governance roles within Siemens Energy. Your efforts will also involve creating new ways of working that enhance the effectiveness of data governance practices. Key Responsibilities: - Lead the design and implementation of a framework for data governance sustainability to assess data maturity, monitor progress, and drive continuous improvement. - Communicate data governance concepts effectively, support training activities, and enable data management roles within the organization. - Design and execute data maturity models, ensuring continuous monitoring against targets. - Develop policies, procedures, and guidelines to advance data governance sustainability across Siemens Energy. - Contribute to various data governance activities and projects such as defining data KPIs, engaging with data stakeholders, and establishing ownership of data domains. - Collaborate with business partners to enhance the operating model and integrate data maturity into all areas of the organization. - Support the development and maintenance of an end-to-end data lifecycle management approach aligned with enterprise data management practices. Qualifications: - University degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Chemistry, or related field. - 10+ years of experience in Data Management, preferably implementing data governance frameworks in complex data landscapes. - Excellent communication skills to explain data governance concepts and drive assessments within Siemens Energy. - Expertise in Data Governance, Master Data Management, Data Quality Management, Metadata Management, Data Architecture, and Data Security practices. - Proficiency in designing processes to embed data management in technology landscapes. - Strong facilitation and problem-solving skills, with experience in large data governance programs. - Familiarity with data management solutions like Data Catalogs and Data Quality tools. - Ability to adapt to changing priorities in a dynamic environment. Join the Data & Analytics team at Siemens Energy to contribute to our mission of becoming a data-driven organization. Embrace diversity, innovation, and sustainability as we work towards a more energy-efficient world. Visit our website to learn more about making a difference at Siemens Energy.,

As a Data Governance Specialist at Siemens Energy, you will be an integral part of the Data & Artificial Intelligence team within the Digital Core function. Your primary responsibility will be to support the broader needs and demands of the business by transforming the way data is perceived and embedding data management practices across all sectors of the energy industry. In this dynamic environment, you will collaborate with your team to enable and train individuals in data roles within the organization, ensuring the operating model functions effectively. Moreover, you will closely work with the Digital Transformation Office team to establish a sustainable onboarding and enablement framework. Your contributions will be crucial to executing the data governance framework, policies, and standards at Siemens Energy, thereby enhancing the overall data governance program. Your impact will be significant as you lead the efforts to design and implement a sustainable onboarding and enablement framework. You will excel in communicating complex data governance concepts clearly to facilitate upskilling and training activities for data management roles. Additionally, you will create relevant content to support self-serving capabilities, enabling data governance roles to enhance their skills effectively. Furthermore, you will assist in producing, refining, and publishing new training artifacts to align with updated policies and guidelines. Your role will involve leading workshops, planning activities, and ensuring their successful delivery. You will actively contribute to various data governance projects such as data maturity models, data KPIs, and regular engagements with all data governance roles and domains. Collaboration will be a key aspect of your role as you engage with stakeholders through the Digital forums, particularly the data Governance Council, to formalize decisions and plans on enablement. Additionally, you will work closely with the Digital Core business partners to enhance the operating model and bring data enablement closer to all business areas and employees. Your background in Computer Science, Mathematics, Statistics, Engineering, Physics, Chemistry, or related fields, along with over 10 years of experience in Data Management in large organizations, will be invaluable. Your expertise in designing and implementing Data Governance, coupled with a strong understanding of various data management practices, will enable you to thrive in this role. Your excellent communication skills and ability to adapt to changing priorities will further contribute to your success. Join Siemens Energy's Data & Analytics team to drive innovation and contribute to a sustainable future by leveraging data as a strategic asset. Be a part of a diverse and inclusive global team committed to making a difference in the energy sector. Explore how you can shape the future with Siemens Energy: https://www.siemens-energy.com/employeevideo Siemens Energy values diversity and inclusion, recognizing the power generated through differences. Embrace the opportunity to be a part of a team that celebrates individuality and fosters a culture of creativity and collaboration. Join us in energizing society and driving positive change based on our unique strengths and perspectives. As a Data Governance Specialist at Siemens Energy, you will play a pivotal role in shaping the data landscape and fostering a culture of excellence in data management. Your commitment to innovation, collaboration, and continuous improvement will contribute to our mission of providing sustainable, reliable, and affordable energy solutions. Join us at Siemens Energy and be a part of a global team dedicated to pushing the boundaries of what is possible in energy technology. Together, we can create a more sustainable future for generations to come.,