4985 Data Governance Jobs - Page 10

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Fractal : What makes Fractal a GREAT fit for youWhen you join Fractal, youll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. Were a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal s mission is to power every human decision in the enterprise and uses the power of AI to help the world s most admired Fortune 500 companies Key Responsibilities Data Analysis and Reporting : Lead the analysis of employee data from various sources to uncover meaningful trends and insights. Own the delivery of the analytics calendar. Storyboarding : Design and maintain user-friendly dashboards and reports that communicate people insights and key performance indicators (KPIs) to convey insights and actionables to stakeholders at all levels in an intuitive manner. - primarily excel. Power BI (good to have) Collaboration : Partner with Business partnering, cross-function and operations teams to drive data-driven recommendations. Project Management : Manage ad hoc projects, define metrics, and deliver ongoing dashboards and reports to inform talent strategies. Data Governance : Ensure the integrity, security, and quality of people analytics data by overseeing data governance frameworks. Training and Development : Provide leadership and training to team members on analytics best practices to foster a data-driven culture within the function. Required Skills and Qualifications Educational Background : MBA with a bachelor s degree in engineering, Statistics, Data Science, or a related field. Experience : 5+ years of experience in business analysis, corporate strategy/ planning. Hands on experience in putting together dashboards, insights presentations for consumption of C-Suite stakeholders. Technical Skills : Proficiency in excel and visualization techniques (dashboards and presentations), working understanding of statistical techniques - regression primarily to help formulate forecasting models. Analytical Skills : Strong analytical skills with the ability to interpret complex data sets and translate findings into actionable insights. Communication Skills : Excellent verbal and written communication skills to convey complex information clearly to diverse audiences. Competencies Strong problem-solving aptitude with attention to detail. Ability to connect business strategy with talent strategy. Capacity for deep analysis and developing impactful visualizations. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Position : Python AI/ML Developer Experience : 4+ Years Notice Period: Immediate to 20 Days Max Seeking an experienced Python Developer with expertise in Generative AI to join our AI & ML Engineering team. The ideal candidate will work on building intelligent applications leveraging large language models (LLMs) and deep learning to enhance customer experience and streamline business processes. Key Responsibilities: Design, develop, and deploy GenAI solutions using Python and modern AI frameworks. Work with LLMs (e.g., GPT, LLaMA, Claude) and fine-tune them for enterprise use cases. Develop prompt engineering strategies and support prompt optimization. Integrate AI models with backend services and data pipelines. Implement scalable and secure APIs and services for GenAI use cases. Collaborate with data scientists, ML engineers, and product teams. Ensure compliance with enterprise security, data governance, and regulatory standards. Required Skills: 4+ years of experience with Python in enterprise application development. Strong knowledge of GenAI tools (OpenAI, HuggingFace, LangChain, etc.). Experience with LLMs, prompt tuning, RAG (Retrieval Augmented Generation). Experience with Flask/FastAPI or similar frameworks. Familiarity with vector databases (e.g., NodeJs, FAISS, Pinecone). Understanding of NLP and transformer models. Good knowledge of Git, Docker, CI/CD.

5-9 years In Data Engineering, software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment Expert level Hands to the following: Python, SQL PySpark DBT and Apache Airflow DevOps, Jenkins, CI/CD Data Governance and Data Quality frameworks Data Lakes, Data Warehouse AWS services including S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC etc. Source code control - GitHub, VSTS etc. Mandatory Competencies Python - Python Database - SQL Data on Cloud - AWS S3 DevOps - CI/CD DevOps - Github ETL - ETL - AWS Glue Beh - Communication At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees success and happiness.

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

Purpose The International Mobility (IM) Inbound Specialist is reponsible for managing the international assignees, new joiners and/or transfer on a local level, including overseeing local logistics, handling relocation details, and managing local transactional activities throughout the relocation process. In addition, the role is to comply with local laws for the management of legal documentation related to work permit or any other legal documents. Responsibilities Act as the primary IM expert for inbound mobilizations to the local location, supporting the International Mobility Outbound Specialist, HR Business Partner, employees, and business units throughout the entire Inbound process. Interface with various stakeholders to coordinate local aspects of mobilizations and demobilizations, including logistics (moving and storage), immigration, timely issuance of contractual documents, pre-assignment visits, tax issues, and more. Oversee all relocation and personnel logistics for inbound international employees in the location, ensuring a smooth transition. Depending on the location, this may for example include topics such as arranging mandatory medical visits, registration at relevant government bodies, and connecting the employee with the external relocation agent. Provide expert recommendations on optimizing international mobility, including secondment arrangements, social and tax agreements, shadow payroll, and other related areas. Organize and lead local onboarding (pre-boarding) meetings with incoming employees to ensure they are well informed about the new work location. Provide guidance to HRBP and liaise with CBSC HR admin / payroll team about the upcoming mobilization to ensure position management, contract issuance, payment of benefits, etc. Participate in IM Group activities for local IM Inputs and contribute to IM projects as needed. Provide feedback to the IM Group on necessary rule and policy changes based on local benchmark and expertise Take care of the local legalization of the inbound employees (new joiners, transfers, assignees), arranging the initial work permit and follow up on contractual changes occurring thereafter. Education Bachelor degree in HR, Psychology, Law or Business Administration. Experience 2+ years of experience in HR or payroll administration within a global environment,. Some experience in logistics, visa and relocation processes is a strong plus. Good knowledge of local labour law, tax and immigration legislation Strong verbal and written communication skills Good English level, and depending on the location a good level of the local language is required as well Proactive mindset, with good organizational skills and the ability to manage priorities Ability to adapt to changing work environments and work priorities Capacity to share complete and accurate information High-level confidentiality. Client-Focused Approach and problem solving abilities Experience with SuccessFactors will be a plus Functional Competencies Tools and data governance Invoice management Analytics and reporting Labour law International mobility HR Acumen Personnel administration

Job Title : Sr. Data Engineer Ontology & Knowledge Graph Specialist Department : Platform Engineering Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality And Governance : - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration And Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience : - 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

Key Responsibilities : - Exp in Snowflake with min 3 yrs. - Design, develop, and maintain integration workflows using Informatica CAI/CDI within IDMC. - Configure and manage Informatica MDM for data consolidation, cleansing, and governance. - Translate business and technical requirements into robust, scalable integration solutions. - Collaborate with analysts, architects, and business stakeholders to ensure delivery meets expectations. - Monitor and troubleshoot integration processes and performance. - Support deployment activities and CI/CD processes. - Maintain documentation of integration designs and data flows. Essential Skills & Experience : - 4+ years experience in Informatica development (Cloud and/or On-Prem). - Strong experience with CAI (Cloud Application Integration) and CDI (Cloud Data Integration). - Experience configuring and supporting Informatica MDM including data models, match/merge rules, and hierarchies. - Solid understanding of REST/SOAP APIs, event-driven architecture, and message queues. - Hands-on experience with IDMC platform and cloud-native integration patterns. - Proficient in SQL and data manipulation techniques. - Experience in data governance, data quality, and master data best practice. - Experience with CI/CD pipelines for Informatica using Git, Jenkins, or similar tools. - Knowledge of cloud platforms (Azure, AWS, or GCP). - Exposure to data warehousing, data lake, or real-time integration. - Familiarity with Agile/Scrum delivery methods.

POSITION OVERVIEW: Hubbell seeks a highly skilled and strategic Data Solutions Architect with a deep technical expertise and strong focus on Data Governance and Strategy. As the Data Solution Architect, you will be responsible for defining and implementing our enterprise-wide data governance framework and ensuring that data solutions are aligned with our overall data strategy. You will drive innovation and best practices in data architecture, data modeling, data integration, data quality, metadate management, and advanced analytics, all while championing data governance principles. This position demands a deep understanding of data architecture and governance, data design and integration, data best practices, Agile methodology, and the proven ability to influence and collaborate across all levels of the organization. Duties & Responsibilities • Develop and champion the enterprise data governance strategy, aligning it with business objectives and ensuring its effective implementation. • Lead the design, implementation, and evolution of a comprehensive data governance framework, encompassing policies, procedures, standard, roles, responsibilities, and metrics, in accordance with industry best practices and regulatory requirements. • Design and architect end-to-end data solutions, considering data governance requirements from inception. Ensure solutions adhere to established data governance policies and procedures. • Develop and oversee the implementation of a robust data quality management framework, including data profiling, data quality rules, monitoring, and remediation processes. Define and monitor key data quality metrics. • Design and implement data integration solutions that adhere to data governance standard and facilitate data sharing and interoperability across the organization. • Evaluate and recommend appropriate data governance and related data technologies and platforms, staying abreast of industry trends and emerging technologies. Develop and maintain a technology roadmap. • Engage with IT and Business stakeholders to understand their data needs, translate them into technical requirements, and influence strategic decisions related to data governance and data solutions. • Create and maintain data lineage documentation, including data source, transformation steps, and usage to improve data traceability. • Collaborate with business users, data owners, and technical teams to understand data needs, communicate data governance policies, and address data quality issues. • Contribute to the design and implementation of data architecture to support data governance objectives, including data models, data warehouses, and data lakes. • Define integration testing requirements, lead validations, and own root cause analysis and resolution of integration issues. Skills and Experience • Bachelors degree in Computer Science, Information Systems, or a related field, or equivalent career experience. • Minimum of 10 years of experience with data architecture & engineering, data warehousing, data migrations, and significant focus on data governance and strategy. • Strong experience with cloud-based data solutions and data governance in cloud environments. • Proven expertise in implementing large-scale enterprise data governance and system integrations. • Demonstrated expertise and proficiency in documentation of architecture designs and integrations, data modeling, data architecture, data warehousing and archiving concepts. • Exceptional communication, presentation, and interpersonal skills, with the ability to effectively collaborate and influence stakeholders at all levels of the organization. • Strong analytical and problem-solving abilities. • Ability to set realistic objectives, accurately appraise situations, detect risks, and adapt to changes in priorities. • Experience in IT system change management. • Technical proficiency in programming languages and integration tools as needed. • Knowledge of Agile methodology, ideally Scaled Agile Framework (SAFe )

Senior Solution Architect: RoleOverview Experienced Senior Solution Architect Data to lead the design and governance ofenterprise-wide data platforms and analytics solutions. Lead design andoptimisation of the data ecosystem for a large engineering enterprise with adiverse application landscape that includes multiple ERPs (Baan, Oracle, SAP), cloud platforms, and SaaS solutions. Demonstratedtechnical expertise with strong architectural leadership is a must for therole. Key Responsibilities Define and govern the enterprise data architecture, ensuring alignment with business strategy and IT standards. Design end-to-end data solutions across ingestion, storage, modelling, analytics, and governance layers, especially focused on leveraging Azure and Databricks as strategic platforms. Develop strategies to unify data from multiple ERPs (Baan, Oracle, SAP) and cloud/SaaS systems into a data lake platform. Establish information architecture, metadata management, and data quality frameworks. Collaborate with business stakeholders and development teams to translate requirements into scalable technical solutions. Provide thought leadership on emerging data technologies and how they can create business value. Support governance processes for change management, security, compliance, and lifecycle management of data assets. RequiredSkills & Experience Proven track record as a Data/Analytics Solution Architect in complex enterprise environments with experience in data modelling, warehousing, and information architecture. Experience architecting solutions using Azure data services and Databricks (e.g., Synapse Analytics, Data Lake, Azure SQL, Data Factory, Spark, and Delta Lake) for large-scale data engineering and advanced analytics. Experience in implementing data governance, security, and regulatory compliance practices. Desirable (Nice to Have) Exposure to advanced analytics, AI/ML solutions, or IoT data integration. Experience with API-led integration and event-driven architectures. Knowledge of industry-specific data standards. Personal Attributes Strong leadership, communication, and stakeholder management skills. Ability to balance strategic vision with practical delivery. Proactive problem-solver who thrives in complex, multi-system landscapes.

Position: AVP - Business Analyst Data Governance Domain Shift :- General shift work from office Key Responsibilities: Data Source Visualization / Analyzation: Visualization / Analyzation of the data source systems, files and filed information for creating internal / external reports. Regulatory Reporting Compliance: Ensure accurate and timely submission of regulatory reports (e.g., RBI, MAS, HKMA etc.) in line with local and cross-border compliance requirements. Data Governance Execution: Implement and maintain data governance frameworks, including data ownership, lineage, quality controls, and stewardship across corporate banking platforms. Business Analysis & Documentation: Gather and document business requirements for data sourcing, transformation, and reporting. Prepare BRDs, FRDs, and data dictionaries aligned with APAC regulatory standards. Cross-Regional Coordination: Collaborate with India operations and APAC stakeholders (e.g., Singapore, Hong Kong, Australia etc.) to align data governance and reporting practices. Data Quality & Controls: Define and monitor data quality rules, perform root cause analysis on data issues, and drive remediation efforts across systems. Audit & Regulatory Readiness: Support internal and external audits by providing traceability, control documentation, and evidence of compliance with data policies. Tool Enablement & Reporting Automation: Leverage tools such as Power BI , SQL, Tableau, and Excel etc. to support data governance and reporting automation. Stakeholder Engagement: Act as a liaison between compliance, finance, IT, and operations teams to ensure alignment on data and reporting objectives. Role-Specific Duties: Assistant Vice President (AVP): Oversee project execution and coordinate between teams. Develop detailed analyses and maintain organized documentation. Planning and promotion of user tasks from BAs perspective Required Skills/Experiences/Personalities: 1. Banking Experience: Experience working in a core banking areas/Back-Office operations for Trade/Payments/Lending/CASA as a bank employee/consultant. 2. Experience in Corporate banking , with a focus on regulatory reporting and data governance in India and APAC. (must have) 3. Strong understanding of regional regulatory frameworks (e.g., RBI, MAS 610, HKMA returns, BCBS 239 etc.). 4. Proficiency in SQL Queries , MS Access, Excel macro , UiPath (RPA) and data visualization tools (e.g., Power BI, Tableau etc.) . 5. Familiarity with data governance platforms and metadata management tools. (must have) 6. Excellent communication and stakeholder management skills across geographies. 7. Business Analysis Skills: Strong experience in creating Business Requirements Documents (BRD) , Functional Requirements Documents (FRD) & UAT plan/Execution is mandatory and Experience working in Agile and Waterfall environments. (must have) 8. An acute attention to detail and commitment to producing high-quality, precise, and extensive requirement documentation. 9. Understanding of downstream data flows for report creation (For AVP: Strong expertise is mandatory.) 10. Experience in utilization of AI (expected to consider how to use AI Technology/ Chabot such as ChatGPT 11. Experience in project implementation from user side (big project is preferred) 12. Travel Flexibility: Willingness to travel within the APAC region to meet Mizuho teams and gather requirements. Qualification: - A Master's Degree, preferably in Science, Finance, Business and IT, is preferred. Experience: Assistant Vice President - (Total Experience (10-15 Years) 5+ yrs in business analyst role, Relevant exp Minimum of 5 years' experience in Information system. Data Governance, Corporate banking, regulatory reporting, Data visualization and analyzation) Interested can share cv in mgs.rec@mizuho-cb.com Subject line:- Business analyst - data Governance( AVP) Address: Mizuho Global Services India Pvt. Ltd, 11th Floor, Q2 Building Aurum Q Park, Gen 4/1, Ttc, Thane Belapur Road, MIDC Industrial Area, Ghansoli, Navi Mumbai- 400710.

Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Experience:Minimum of 12 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Qualification Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools

Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Experience:Minimum of 12 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Qualification Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools

Job Title : Data Governance Purview Analyst. Knowledge and an expert in Microsoft Purview for data governance and cataloging. Knowledge and an expert in Azure Data Factory, Azure Synapse, and Power BI for data integration and visualization. Knowledge and an expert in PowerShell for automation and scripting tasks. Knowledge and an expert in Data Quality and Compliance Tools (e.g., Microsoft Compliance Manager). Knowledge in how to use Azure DevOps, or other project management tools for tracking implementation progress. Roles And Responsibility : - Using Purview, perform data discovery, identifying and cataloging data assets. - Implement and configure data classification rules to automatically classify sensitive data, ensuring compliance with regulations. - Ensure the automatic tagging and categorization of data to create a comprehensive inventory. Required Skills And Qualifications : - Bachelors degree in computer science, Information Technology, or a related field. - Experience with Azure Purview or similar data governance tools. - Strong understanding of data governance principles, data management, and regulatory requirements. - Proficiency in data cataloging, metadata management, and data lineage documentation. - Excellent analytical and problem-solving skills. - Effective communication skills for collaboration with cross-functional teams. Preferred Qualifications : - Certification in Azure Purview or other data governance tools. - Prior experience in implementing data governance frameworks for enterprise clients. - Familiarity with cloud platforms like Azure or AWS. - Knowledge of data privacy regulations such as GDPR or CCPA.

Management Level:07 - Consultant Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Experience:Minimum of 6 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned Consultant with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As a Consultant in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Qualification Professional & Technical Skills: At least 6 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 5 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 4 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. Consultant / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools

Job Description Job Title - S&C GN - Industry X - Digital Engineering R&D - Consultant Management Level:07 - Consultant Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Experience:Minimum of 6 years of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary : Looking for Self-Driven and Seasoned Consultant with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As a Consultant in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Qualification Professional & Technical Skills: At least 6 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 5 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 4 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. Consultant / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 3 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools

Job Title - MC - Industry X Digital Engineering R&D + Level (Manager) + Entity ( S&C Global Network) Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills:Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team. As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Qualification Experience:Minimum 5 years of experience is required Educational Qualification:Engineering & MBA Preferred

Candidates will gain exposure to a wide range of industries and investment structures. As a result of the breadth of the experience, candidates will develop a unique understanding of companies, capital structures, and credit markets. This candidate will work directly with the Specialty Finance investment team within the Blackstone Insurance Structure. Responsibilities: Analyzing investment guidelines and interpret them to build logic-based rules to implement into automated investment compliance system for monitoring. Deliver daily/monthly/quarterly compliance reports to PM team for the new violations across all investment policies. Support onshore team by assisting them in post trade compliance monitoring activities across all the investment strategies. Assist in identifying the data governance and data reconciliation issues. Must be good with people management skills, must have on papers experience Qualifications: Bachelors degree with a preference to advanced degree or progression towards CFA/FRM/CAIA 4-6 years of relevant experience in investment compliance monitoring with an exposure towards rule coding. Knowledge of guideline monitoring or coding in compliance systems e.g., Charles River, Bloomberg, LZ Sentinel, Aladdin or Clearwater Analytics would be an added advantage. Good to have experience in querying database and analyzing large data sets Mandatory Skills: Institutional_Finance_Buy_Side_Others . Experience: 3-5 Years .

Role & responsibilities Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. Responsible for the implementation and oversight of the Companys data management goals, standards, practices, process, and technologies. Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each team’s metadata, and develop a process for working with and onboarding data domain teams. Be the point of contact for Data Governance queries, including escalation point for client concerns. Coordinate the resolution of data integrity gaps by working with the business owners and IT. Ability to work in an agile environment with an iterative approach to development. Preferred candidate profile Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database). Proficient in SQL, Python, and must have strong understanding of databases and data structures. Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. Excellent analytical, problem-solving, communication and interpersonal skills. Ability to set priorities and multi-task in a fast-paced environment. Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. Ability to work independently and productively under pressure. Strong organizational skills and decision-making ability

Job Summary: We are looking for a motivated and results-driven Delivery Leader L1 to oversee project delivery and ensure that client expectations are met or exceeded. The ideal candidate will coordinate with cross-functional teams, manage timelines, and ensure the successful execution of projects while maintaining high-quality standards. This is an early-career leadership role, offering exposure to end-to-end delivery processes and stakeholder management. Key Responsibilities: Lead the delivery of projects by planning, tracking, and ensuring timely execution. Collaborate with clients to understand project scope, expectations, and priorities. Coordinate with internal teams, including functional, technical, and operations units, to achieve project goals. Monitor project risks, issues, and dependencies and proactively address them. Support the preparation of project plans, status reports, and dashboards. Ensure adherence to quality standards and process guidelines. Assist in managing budgets, resources, and timelines. Build and maintain strong relationships with clients and stakeholders. Foster a positive team environment and support team members in resolving challenges. Assist in continuous improvement initiatives to enhance delivery efficiency and effectiveness. Mandatory Skills: Data Governance . Experience: 8-10 Years .

Role & Responsibilities : As a key member of our team, you will be instrumental in shaping our data landscape. Your responsibilities will include : - Designing, developing, and maintaining comprehensive logical and physical data models that meet stringent business and regulatory requirements. - Collaborating with cross-functional teams including data engineers, analysts, and business stakeholders to align data architecture with evolving business needs. - Translating complex business requirements into robust and scalable data models, ensuring optimal performance and data integrity. - Optimizing and refining existing data structures and frameworks to enhance data access, reporting, and analytics capabilities. - Driving governance and data quality initiatives by establishing best practices and documentation standards for data modeling. - Mentoring and guiding junior team members, fostering a culture of continuous improvement and technical excellence. Skills & Qualifications : Must-Have : - Experience : 6+ years of experience in data modeling and related disciplines. - Data Modeling : Extensive expertise in conceptual, logical, and physical models, including Star/Snowflake schema design, Normalization, and Denormalization techniques. - Snowflake : Proven experience with Snowflake schema design, Performance tuning, Time Travel, Streams & Tasks, and Secure & Materialized Views. - SQL & Scripting : Advanced proficiency in SQL (including CTEs and Window Functions), with a strong focus on automation and optimization. Key Skills : - Data Modeling (conceptual, logical, physical) - Schema Design (Star Schema, Snowflake Schema) - Optimization & Performance Tuning - Snowflake (Schema design, Time Travel, Streams and Tasks, Secure Views, Materialized Views) - Advanced SQL (CTEs, Window Functions) - Normalization & Denormalization - Automation - NoSQL (preferred, but not mandatory)

Key Responsibilities Design scalable ETL/ELT data pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. Develop data ingestion workflows for structured and semi-structured data sources, including IoT streams and batch files. Define and enforce data modeling standards for the raw, curated, and semantic layers in ADLS Gen2. Create PySpark jobs and reusable transformation frameworks for cleansing, validation, and enrichment. Oversee data partitioning, versioning, and metadata strategies to ensure high performance and maintainability. Coordinate with ML engineers to support feature engineering pipelines and training datasets. Mentor data engineers, conduct code reviews, and enforce best practices in CI/CD workflows. Implement monitoring and alerting for data pipelines, including performance metrics and SLA tracking. Experience and Qualifications 5+ years in data engineering roles on Azure data platforms. Experience building large-scale data solutions processing real-time and batch workloads. Strong understanding of data governance, quality, and security practices Microsoft Azure Data Engineer Associate certification is a plus. Primary Skills and Technologies Azure Data Factory, Azure Databricks, Synapse Analytics, PySpark, Data Lake Gen2, ETL Frameworks, Data Modeling, Azure DevOps for Data CI/CD, Delta Lake. Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years .

Hi all, We are hiring for the role Data Governance Consultant Experience: 8 - 12 Years Location: Bangalore Notice Period: Immediate - 15 Days Email: mojesh.p@acesoftlabs.com Call: 9701971793 Skills: Total years of exp- 8-12 years Minimum of 5 years of experience in Data management within the Banking & Financial services industry. Proficiency in English. Strong understanding of banking processes, systems, and regulatory requirements. Working knowledge on Data Management & Data Quality policy & procedures implementation within Data management tools. • Should have been part of 1-2 large engagements into production go live with good project oversight and decision making skills within Data management & Governance. • Proficient in Data Management and Data Governance concepts preferably within Banking industry. • Previous working experience as Data Steward, interacting with Business stakeholders and working on BAU data processes preferred. • Experience in Data Governance tools and technologies preferably Informatica DEQ, EDC, AXON etc., • Hands on experience implementing Data Strategy road map across the Organization. • Preferred to have prior experience in the banking or financial services industry, with a strong understanding of domain-specific data governance needs. • Experience using Informatica data governance tools, such as Axon, EDC (Enterprise Data Catalog), DEQ for implementing and supporting data governance initiatives Responsible for working with business units to embed and adopt data standards and facilitating data stewardship. • Bachelor's degree in Computer Science, Information Systems, Accounting & Finance, or any related field. A Master's degree is preferred. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We are a technology company that leads with our humanity, driving our business priorities alongside meaningful social, community, and societal impact. At Ciena, we believe your ideal career should offer competitive compensation, flexibility to live life your way, and recognition for your accomplishments, all in an inclusive, diverse, and people-first environment. Our success is powered by a thriving team, and we are committed to supporting every employee with benefits that enable growth and well-being. Ciena empowers you with flexible paid time off, reimbursed and in-house development resources, and the tools you need to achieve your goals both at work and beyond. How You Will Contribute - Manage enterprise data by establishing policies and procedures, applying data governance to ensure compliance, security, and quality. - Collaborate with teams across IT, Procurement, Accounting, and Treasury to align data management practices. - Perform data analysis to identify patterns, trends, and insights, and develop reports based on findings. - Implement data collection and upload procedures to maintain accuracy and quality. - Verify and validate collected data to eliminate errors and inconsistencies. - Build and nurture strong relationships with internal and external stakeholders. - Support organizational success by ensuring data integrity and contributing to team success. The Must Haves - Bachelors degree in Computer Science or a related field. - Detail-oriented approach with strong analytical, time management, and problem-solving skills. - Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Nice To Haves - Knowledge of AI/Machine Learning and Power BI. - Excellent written and verbal communication skills. - Ability to learn and adapt to new software and processes. - Strong teamwork and collaboration skills. Join Ciena and become part of a team that values curiosity, initiative, agility, and innovation. We are committed to fostering a supportive environment where you can grow, contribute, and thrive. Not ready to apply Join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.,

As a key member of the Corning team, you will play a crucial role in leading business-specific master data and transaction data management activities while supporting process governance and maintenance for the division. Your efforts will be focused on improving data quality and managing the protection of sensitive data and information assets. By standardizing master data management practices at various levels, you will aim to achieve consistency, quality, and protection to meet business and regulatory requirements, as well as support functional strategies. In this dynamic role, you will be responsible for coordinating cross-functional master data management initiatives and interdependencies within the business, ensuring alignment with Corporate/Enterprise data management strategies and initiatives. Your responsibilities will include data management (master and transaction) and performance, supporting the establishment and governance of data management at Corning International sites, and collaborating with corporate data teams to enable better decision-making and processes. Furthermore, you will liaise between business/functional areas and IT to define data-related business requirements, develop and implement data quality standards, provide progress reports on master data programs and projects, and identify new opportunities for enhancing efficiency and effectiveness through the use of information. You will drive the harmonization and standardization of data for systems and processes, acting as a data champion for organization-wide acceptance and helping to drive business outcomes through data integrity, visibility, and accuracy. To excel in this role, you should possess strong communication and leadership skills, be data/business savvy, have expertise in data process and management, and demonstrate the ability to overcome challenges. Collaborative, culturally aware, and with a strong work ethic, you should be capable of developing constructive working relationships, managing conflicts, and making timely decisions to resolve complex business problems. Additionally, a graduate degree (preferably in Business, MBA) along with at least 5 years of experience in services or manufacturing organizations, with significant data management experience, is desired. Knowledge of data governance practices and experience in data migration would be advantageous for this role. If you are ready to make a significant impact by driving data management excellence and innovation within a global leader in glass, ceramic, and materials science, we invite you to join us at Corning and be part of our journey to break through limitations and shape a better future for all.,

About AutoZone: AutoZone is the nation's leading retailer and a leading distributor of automotive replacement parts and accessories with more than 6,000 stores in US, Puerto Rico, Mexico, and Brazil. Each store carries an extensive line for cars, sport utility vehicles, vans and light trucks, including new and remanufactured hard parts, maintenance items and accessories. We also sell automotive diagnostic and repair software through ALLDATA, diagnostic and repair information through ALLDATAdiy.com, automotive accessories through AutoAnything.com and auto and light truck parts and accessories through AutoZone.com. Since opening its first store in Forrest City, Ark. on July 4, 1979, the company has joined the New York Stock Exchange (NYSE: AZO) and earned a spot in the Fortune 500. AutoZone has been committed to providing the best parts, prices, and customer service in the automotive aftermarket industry. We have a rich culture and history of going the Extra Mile for our customers and our community. At AutoZone, you're not just doing a job; you're playing a crucial role in creating a better experience for our customers, while creating opportunities to DRIVE YOUR CAREER almost anywhere! We are looking for talented people who are customer-focused, enjoy helping others, and have the DRIVE to excel in a fast-paced environment! Position Summary: The Systems Engineer will design data model solutions and ensure alignment between business and IT strategies, operating models, guiding principles, and software development with a focus on the information layer. The Systems Engineer works across business lines and IT domains to ensure that information is viewed as a corporate asset. This includes its proper data definition, creation, usage, archival, and governance. The Systems Engineer works with other engineers and Data Architects to design overall solutions in accordance with industry best practices, principles and standards. The Systems Engineer strives to create and improve the quality of systems, provide more flexible solutions, and reduce time-to-market. Key Responsibilities: - Enhance and maintain the AutoZone information strategy. - Ensure alignment of programs and projects with the strategic AZ Information Roadmap and related strategies. - Perform gap analysis between current data structures and target data structures. - Enhance and maintain the Enterprise Information Model. - Work with service architects and application architects to assist with the creation of proper data access and utilization methods. - Gather complex business requirements and translate product and project needs into data models supporting long-term solutions. - Serve as a technical data strategy expert and lead the creation of technical requirements and design deliverables. - Define and communicate data standards, industry best practices, technologies, and architectures. - Check conformance to standards and resolve any conflicts by explaining and justifying architectural decisions. - Recommend and evaluate new tools and methodologies as needed. - Manage, communicate, and improve the data governance framework. Requirements: - A systems thinker, able to move fluidly between high-level abstract thinking and detail-oriented implementation, open-minded to new ideas, approaches, and technologies. - A data and fact-driven decision-maker, with an ability to make quick decisions under uncertainty when necessary; able to quickly learn new technologies, tools, and organizational structures/strategies. - Understanding of current industry standard best practices regarding integration, architecture, tools, and processes. - A self-starter that is naturally inquisitive, requiring only small pieces to the puzzle, across many technologies - new and legacy. - Excellent written and verbal communication, presentation, and analytical skills, including the ability to effectively communicate complex technical concepts and designs to a broad range of people. Education and/or Experience: - Bachelor's degree in MIS, Computer Science or similar degree or experience required. - Minimum 3+ years of experience and knowledge of database systems such as Oracle, Postgres, UDB/DB2, BigQuery, Spanner, JSON, and Couchbase. - Minimum 2 years of experience with data requirements gathering, acquisition of data from different business systems, ingestion of data in GCP using managed services namely BigQuery, DataFlow, Composer, Pub/Sub, and other ingestion technologies, curation of the data using DBT or other similar technologies, and creating data marts/wide tables for analysis and reporting consumption. - Assembling large, complex sets of data that meet non-functional and functional business requirements. - Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. - Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources using GCP and SQL technologies. - Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. - Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues. - Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues. - Relational & NoSQL database design capability across OLTP & OLAP. - Excellent analytical and problem-solving skills. - Excellent verbal and written communication skills. - Ability to facilitate modeling sessions and communicate appropriately with IT and business customers. - Experience with Agile software development methodologies. - Experience with large-replicated databases across distributed and cloud data centers. Our Values: An AutoZoner Always. - PUTS CUSTOMERS FIRST - CARES ABOUT PEOPLE - STRIVES FOR EXCEPTIONAL PERFORMANCE - ENERGIZES OTHERS - EMBRACES DIVERSITY - HELPS TEAMS SUCCEED,