758 Metadata Jobs - Page 6

The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities. Key Responsibilities: Search Implementation: Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning. Work on the design, implementation, and optimization of Sinequa search solutions. Configure, customize, and maintain Sinequas search platform to meet organizational requirements. Implement data ingestion procedures leveraging Sinequa connectors and APIs. Development of Search-Based Applications: Design, develop, and deploy search-based applications that leverage the Sinequa platform. Integrate search functionalities into existing and new applications to enhance user experience and information retrieval. Collaborate with UI/UX designers to create engaging and efficient search interfaces. Implement security best practices to protect sensitive data within search-based applications. Test, debug, and document search-based applications to ensure high-quality deliverables. Optimization and Performance: Monitor and optimize search performance, ensuring low latency and high accuracy of search results. Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval. Conduct regular performance analyses and make necessary adjustments to enhance search efficiency. Collaboration and Communication: Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions. Collaborate with data and content experts to ensure data quality and search index integrity. Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders. User Experience Enhancement: Design and implement user-friendly search interfaces and experiences. Gather and analyze user feedback to continually improve search functionalities. Ensure the search platform provides intuitive and relevant results to end-users. Data Management: Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results. Implement best practices for data governance and quality management in the context of search. Innovation and Continuous Improvement: Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform. Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities. Qualifications: Solid understanding of search algorithms, information retrieval, and relevancy tuning. Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar. Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.) Strong analytical and problem-solving skills. Experience with data integration tools and techniques. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Background in natural language processing (NLP) or machine learning as applied to search is a plus. Familiarity with cloud platforms and services, particularly AWS is a plus. Knowledge of data governance and data quality best practices is a plus.

> If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high performance analog semiconductors whose solutions are powering the wireless networking revolution. At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management and the freedom to make meaningful contributions in a setting that encourages creativity and out-of-the-box thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together can change the way the world communicates. Requisition ID: 75560 Description We are beginning an existing and rewarding business transformation initiative which will be a multi-year journey for everyone involved in the enterprise applications team. You will be crucial in helping business users adopt new technologies and enhanced business processes. Part of this transformation is the inclusion of Salesforce as a platform for Skyworks business processes. We need you to bring your enthusiasm in your role as Salesforce Architect! Responsibilities Act as a global Architect & Developer across Skyworks Salesforce ecosystem; responsibilities include but are not limited to user management, report/dashboard building, health & security of instances, non-production instance management, data migrations, etc. Work collaboratively with BRM (Business Analysts), salesforce dev s/dmins to continuously maintain and improve Skyworks Salesforce (and force. com-based) processes and frameworks. Design, test & deploy key functionalities. Configure data models & workflows for managed packages and various OOTB Salesforce objects Lead & perform development, configuration & integration pipelines between SFDC and other systems (on-prem & cloud based). Required Experience and Skills Minimum bachelor s degree in computer science or MIS/IT or equivalent hands-on experience 10+ years of SFDC development & architect experience. Core Salesforce certifications (Admin, Platform developer, and/or App Builder) highly desired. Required Experience with Salesforce.com Web Services APIs, including force.com SOAP and REST-based Web Service APIs, the Bulk API, and the Metadata API Salesforce Security Models for OWDs, Profiles, Permission Sets, and Sharing Rules. Strong development experience with VisualForce pages, Lightning components, Apex classes, Apex Triggers, Process and Flow Builder, SOQL, SOSL. Understanding of Azure DevOps or any other CI/CD framework. Desired Experience and Skills Experience administering Salesforce, CPQ and other managed packages Experience with building Integration pipelines with other enterprise apps Exposure to Microsoft technologies (Office 365, SharePoint, .NET, Azure) Job Segment: .NET, Computer Science, ERP, Network, Developer, Technology

We are a top-tier professional services firm seeking a Knowledge Management Specialist with hands-on experience in Microsoft SharePoint Syntex. This role is critical in driving our intelligent content automation efforts, enhancing metadata tagging, and improving search and discoverability across our SharePoint-based knowledge repositories. You will be a key player in optimizing how our firm organizes, classifies, and surfaces knowledge assets, working closely with KM leaders, business units, and technical teams.

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . The Item Center of Excellence has elevated the importance of Item Excellence as it has direct impact on Target s digital guest experience, operating expenses, and gross margin. As an Item Data Steward, you will be responsible for working across the enterprise to establish partnerships, best practices, and processes focused on driving digital growth and a strong guest experience. This will include, but not be limited to, stewarding overall item quality, managing data sources, resolving item issues, and documenting best practices and definitions for overall item excellence. As a Sr. Item Data Steward, you will take the lead as you: Manage cross-functional efforts focused on driving item data consistency, accessibility, reliability and discoverability. Develop processes to evaluate and govern overall item data quality to meet business needs across the Enterprise. Develop project plans for driving key objectives and priorities in support of the Item Center of Excellence strategy. Analyze item attribute usage by category and guest significance to understand the impact and importance of each item attribute within the business. Collaborate with internal teams to drive continuous improvement to operational and item excellence routines. Identify and lead key item accuracy, completeness, consistency, and uniqueness strategies (IQI) within the Item COE and across the enterprise. Work closely with the item certification team to implement processes to identify item discrepancies causing significant guest, compliance, or operational issues. Collaborate with product teams to inform and share item excellence data and best practices in support of key initiatives. Consult with taxonomy team to provide clarity on item structure with identified issues. Champion the development and implementation of product data and hierarchy standards within and across categories. Influence the coverage and breadth of item quality business processes in partnership with data quality analysts. Display strong cross-functional leadership as you build strong working relationships with Item Process, Item Taxonomy, Item Content, and Item Data Quality across all levels including leadership. Provide timely communication of item excellence performance to all levels of leadership within Item COE. Team and Partner Management: Reports to Director, Enterprise Item. No direct team member reports. Partners with multiple Item COE teams including Item Setup, Item Process, Data Quality, Taxonomy, Item Product, Item Data Acquisition, and Item Certification as required. Will be responsible for building and maintaining strong external partnerships (where applicable)product, Target+, AP, Legal and Compliance, site merchandising, merchandising Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you College degree or equivalent work experience Experience in project management, partnership management, program management, and/or data stewardship High level of analytical aptitude with experience measuring and tracking key metrics for continual improvement Strong verbal and written communication skills Strong organizational and prioritization skills with the ability to manage multiple projects concurrently in a fast-paced environment. Ability to train new concepts, processes, requirements, and expectations A partner-centric mindset; motivated by collaboration and cross-functional work PC experience (Excel, Word, PowerPoint)

To expand and refine our suite of out-of-the-box integrations, using our powerful API and SDK to bring in metadata for visualisation from a vast range of sources including databases with diverse SQL dialects. But that is just the beginning. At our core, we are problem-solvers and innovators. you'll have the chance to: Design intuitive layouts representing flow of data across complex deployments of diverse technologies Design and optimize API connectivity and parsers reading from source systems metadata Explore new paradigms for representing data lineage Enhance our data ingestion capabilities to handle massive volumes of data Dig deep into data challenges to build smarter, more scalable solutions Beyond engineering, you'll collaborate with users, troubleshoot tricky issues, streamline development workflows, and contribute to a culture of continuous improvement. What we're Looking For we'don t believe in sticking to a single tech stack just for the sake of it. we're engineers first, and we pick the best tools for the job. More than ticking off a checklist, we value mindset, curiosity, and problem-solving skills. you're quick to learn and love diving into new technologies You push for excellence and aren t satisfied with just okay You can break down complex topics in a way that anyone can understand You should have 6-8 years of proven experience in developing, and delivering high-quality, scalable software solutions You should be a strong self-starter with the ability to take ownership of tasks and drive them to completion with minimal supervision. You should be able to mentor junior developers, perform code reviews, and ensure adherence to best practices in software engineering. Tech & Skills we'd Love to See Must-have: Strong hands-on experience with Java, Spring Boot RESTful APIs, and Node.js Solid knowledge of databases, SQL dialects, and data structures Nice-to-have: Experience with C#, ASP.NET Core, TypeScript, React.js , or similar frameworks Bonus points for data experience we love data wizards

Job Information Job Opening ID ZR_1940_JOB Date Opened 06/05/2023 Industry Technology Job Type Work Experience 6-10 years Job Title Functional Consultant - SAP DMS/PM Modules City Hyderabad Province Telangana Country India Postal Code 500081 Number of Positions 5 SAP professionals design, implement and deploy SAP solutions to achieve defined business goals. Maintain skills in SAP applications process design and configuration; SAP application design, development, integration, testing and deployment. Responsibilities: Responsible for the setting up of the SAP DMS , structure for large scale enterprise. Integration process and installation SAP DMS application with other core module of SAP DMS . Keeping the scope in mind, configure the system accordingly. Able to test and document the system. Train key users Experienced with SAP Documents, Document Structure, Document Search, Document Distribution Version Management, Document Vaulting, Integrated Viewer Status Management, Document Conversion, Document workflow, Interfacing Table specification. Should be also versed with the integration aspects of SAP DMS applications with other core modules of SAP ECC. Experience with Open Text, Document-um will be an advantage. Setting up SAP Knowledge management, SAP content server, experienced with Metadata search & configuration and Integration with workflow configuration, TREX integration and Security associated with DMS implementation . Should have worked with associated standard workflows across MM, QM and PM. Experienced in the setup of archive link to support retention o Location: Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1843_JOB Date Opened 05/04/2023 Industry Technology Job Type Work Experience 3-5 years Job Title Collibra Data Governance SME City Mumbai Province Maharashtra Country India Postal Code 400708 Number of Positions 2 3+ years of hands-on experience on Collibra tool. Knowledge of Collibra DGC version 5.7 and onward Experience on Spring boot development Experience on Groovy and Flow able for BPMN workflow Development. Experience in both Business And Technical Metadata Experience on platform activity like job server setup and upgrade " Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1760_JOB Date Opened 21/03/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Collibra Data Governance SME City Mumbai Province Maharashtra Country India Postal Code 400708 Number of Positions 1 Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2385_JOB Date Opened 23/10/2024 Industry IT Services Job Type Work Experience 8-12 years Job Title Data modeller City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 Locations - Pune/Bangalore/Hyderabad/Indore Contract duration- 6 months Responsibilities Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational & dimensional - MUST and NoSQL-optional) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Must have Payments Background Skills Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Experience with Erwin, Visio or any other relevant tool. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Candidate with 5–8 years of overall experience in software engineering, including 2-4 years of focused expertise in Data Governance practices such as data cataloguing, data lineage, data quality, data purging, data reliability, data accessibility. Required Candidate profile Strong experience with data governance tools (Ab Initio, Informatica, Atlan, Collibra, Snowflake,Databricks) Hands-on knowledge of data cataloguing, data lineage, data quality, and data access control Perks and benefits To be disclosed post interview

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Global Customer Platform product team , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. Job responsibilities Facilitate use case and requirements definition, design, testing, and implementation of new data assets and technology-driven capabilities that address specific business needs. Participate actively in domain-driven design sessions with technical teams and architecture. Develop strategic roadmaps for the customer domain to enhance management, utility, and availability of customer data for the business. Author epics and stories; collaborate with aligned feature teams to refine requirements, design solutions, develop success criteria, and drive change to achieve business goals. Identify areas for efficiency across data domains, such as eliminating duplicate data or platforms. Profile, wrangle, and prepare data from diverse sources to support backlog refinement. Create conceptual and logical models to describe specific domains. Enable the management of data as a corporate asset by defining data (metadata), identifying systems of record and authoritative data sources, creating data quality rules, and shaping solutions that embody firm-wide principles, standards, and controls. Required qualifications, capabilities, and skills 5+ years of experience as a lead product analyst or business analyst on customer data infrastructure related initiatives Demonstrated expertise driving Agile and scrum technology delivery Ability to proactively partner with business stakeholders and development teams, translating strategic goals into technology solutions Must possess the ability to research and resolve issues independently while working across teams to acquire needed information Self-motivated team player with advanced analytical thinking and problem solving skill Experience in project management including scheduling, budgeting and resource planning Thorough understanding of data structures, data manipulation, metadata, data security, and data quality management Possess excellent oral and written communication skills Preferred qualifications, capabilities, and skills Extensive knowledge and experience with customer data infrastructure and its use across JPMorgan Chase Experience working with non-CCB business and their processes. knowledge of CCB business processes and customer data infrastructure Experience in Java , cobolt, SQL

Proficient in Content Types, Site Columns, Managed Metadata, and Taxonomy for structuring business content. Strong understanding of Thiess Management System (TMS) and its SharePoint- based workflows. Hands-on experience with Power Automate and Power Apps to support business automation and process improvements.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Apache Spark, PySpark Minimum 15 year(s) of experience is required Educational Qualification : Graduate br/>Key Responsibilities :1Azure Devops CI/CD Integration Specialist to help us set up the end-to-end technical Continuous Integration/Continuous Deployment framework in Azure ADF, Databricks code, SQL and AAS and embedding the processes around it as well with the team 2Build processes supporting data transformation, data structures, metadata, dependency and workload management 3 Azure Data Factory, Azure Data Lake Storage, Azure SQL, Pyspark br/> Technical Experience :1Extensive experience with Azure Data Bricks and good to have Synapse, SQL, Pyspark 2Experience with Azure:Azure Data Factory, Azure Data Lake Storage, Databricks, Stream Analytics, Azure Functions, Serverless Architecture, ARM Templates 3Experience with object-oriented/object function scripting languages:Python, SQL, Scala, Spark-SQL 4Advanced working SQL knowledge and experience working with relational databases, query authoring SQL as well as working familiarity with a variety of data br/> Professional Attributes :1Strong project management and organizational skills 2Experience supporting and working with cross-functional teams in a dynamic environment 3Analytical bent of mind 4Ability to manage interaction with business stakeholders and other within the organization 5Good communication and documentation skil Qualification Graduate

Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/Bangalore Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertise"strategic, industry, functional, technical"in a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Implementing programs/interventions that prepare the organization for implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients Deep understanding of industry best practices in data governance and management Provide thought leadership to the downstream teams for developing offerings and assets Qualifications Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 6-10 years of large-scale consulting experience and/or working with hi tech companies in data governance, and data management. Certified on DAMA (Data Management) Experience: We are looking for experienced professionals with information strategy, data governance, data quality, data management, and MDM experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. MDM / DQ/ DG Architect - Data Governance & Management SME for areas including Data Quality, MDM, Metadata, data lineage, data catalog. Experience one or more technologies in this space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Responsible for creation, maintenance, and management of Machine Readable Cataloging Records (MARC), focusing on metadata and quality, to support customers of eBooks, journals, videos, music, primary sources, and other content across the company. About You - experience, education, skills, and accomplishments Bachelor s Degree and/or Masters Degree in Library Science or relevant subject What will you be doing in this role? Catalogue content to create MARC or other title records (copy cataloguing) and ensure appropriate subject classification for books and/or journals and videos. Use MARC rules, cataloguing rules, Library of Congress authority files, and Dewey Decimal System to create MARC records. Import records from various sources, following the rules of automated content ingestion, to maintain the catalogue. Use validation programs, following team documentation, in the quality assurance process. Assist in answering customer questions as needed. Develop an understanding of the products as well as the customers using those products and associated records.

Senior Data Engineer - Azure This is a hands on data platform engineering role that places significant emphasis on consultative data engineering engagements with a wide range of customer stakeholders; Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams. You Will: Design and build resilient and efficient data pipelines for batch and real-time streaming Architect and design data infrastructure on cloud using Infrastructure-as-Code tools. Collaborate with product managers, software engineers, data analysts, and data scientists to build scalable and data-driven platforms and tools. Provide technical product expertise, advise on deployment architectures, and handle in-depth technical questions around data infrastructure, PaaS services, design patterns and implementation approaches. Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations. Lead a team of engineers to deliver impactful results at scale. Execute projects with an Agile mindset. Build software frameworks to solve data problems at scale. Technical Requirements: 7+ years of data engineering experience leading implementations of large-scale lakehouses on Databricks, Snowflake, or Synapse. Prior experience using DBT and PowerBI will be a plus. 3+ years experience architecting solutions for developing data pipelines from structured, unstructured sources for batch and realtime workloads. Extensive experience with Azure data services (Databricks, Synapse, ADF) and related azure infrastructure services like firewall, storage, key vault etc. is required. Strong programming / scripting experience using SQL and python and Spark. Strong Data Modeling, Data lakehouse concepts. Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket. Experience with Agile development methods in data-oriented projects Other Requirements: Highly motivated self-starter and team player and demonstrated success in prior roles. Track record of success working through technical challenges within enterprise organizations Ability to prioritize deals, training, and initiatives through highly effective time management Excellent problem solving, analytical, presentation, and whiteboarding skills Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations Certifications on Azure Data Engineering and related technologies.

What you get to do in this role: Consult with internal clients to develop solutions that leverage Highspot Sales Enablement / Content Management System Review and analyze content and performance metrics to recommend new organizational methodologies Understand business and content-related problems to identify and present solutions Provide support and ongoing services for internal clients in accordance with SLAs Manages overall Services project calendar and prioritization Develops overall project plan models, templates, and resourcing requirements Creates and manages individual project plans and secures resources (includes determining support roles) Transforms current project planning tools by aligning with best practice systems and processes Defines processes and requirements for request-related platform architecture (EnableNow instance) To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry. Extensive experience with organization methodologies for large volumes of content including folder architectures and metadata Ability to understand existing content structure and use-cases to help guide new structure implementation Experience with re-architecting platforms that have a singular product-focused architecture to a more complex matrixed focus. Critical thinking, analysis, troubleshooting, and problem-solving expertise Ability to communicate with and manage stakeholders outside the enablement organization, build a team of advocates 5-10 years of experience in management consulting, asset management marketing, sales operations, or a related field Advanced proficiency with the entire Microsoft Office Suite, with an emphasis on Excel, Word and PowerPoint Strong written and verbal communication skills with proven ability to initiate and manage relationships with customers at all levels Knowledge of data systems and structures Proficiency with Microsoft Dynamics Ability to work independently and as part of a team in a highly dynamic and fast-paced environment A can do attitude to fast-paced and dynamic situations, challenges and customers Ability to translate technical requirements into business value and ROI

Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence. As a Product Director in Consumer & Community Banking s Data & Analytics space, you lead innovation through the development of products and features that delight customers. As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs. Data & Analytics is seeking an Executive Director in Product Management, helping to lead Metadata Management, Data Observability & Contracts, Data Modelling Solutions, Quality and Lineage. Drive organization wide platform strategy, and user interface development with a focus on large-scale product strategy and ensuring consistent messaging across the firm. The ideal candidate is a platform-oriented product leader with deep experience in cloud native infrastructure and strong understanding of enterprise-scale data systems. Job responsibilities Oversees the product roadmap, vision, development, execution, risk management, and business growth targets Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives Owns product performance and is accountable for investing in enhancements to achieve business objectives Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation Partner with security, risk, governance to embed policy as code, access controls, and user entitlements features into the platform Maintain strong awareness of industry trends in modern data stacks, AI driven data observability, and cloud native metadata management and governance standards Lead adoption of metadata-driven experience across data ingestion, data transformations and consumption platforms Define and evolve standard modelling practices, schema enforcements and lineage propagation across systems Required qualifications, capabilities, and skills 8+ years of experience or equivalent expertise delivering products, projects, or technology applications Extensive knowledge of the product development life cycle, technical design, and data analytics Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Experience driving change within organizations and managing stakeholders across multiple functions Proven experience in product management at an executive level, within a large organization. Exceptional strategic thinking and product development skills. Ability to manage up and drive consistent messaging across diverse portfolios. Excellent communication and leadership skills. Practical and solution-oriented approach to problem-solving. Proven experience owning metadata platforms or similar data infrastructure capabilities. Experience partnering with compliance, security and governance stakeholders Strong grasp of data architecture principles, including APIs, streaming, batch, lineage, and modelling patterns Preferred qualifications, capabilities, and skills Recognized thought leader within a related field Advanced degree in a related field (e.g., Computer Science, Business Administration) Experience with modern metadata management platforms Familiarity with AI/ML integration into data observability, quality, checks or intelligent alerting Strong communication and stakeholder management skills with experience presenting to C-level audience

About the role The Senior Salesforce Developer is responsible for analysis, design, development and unit testing of custom solutions, as well as production support, on the CRM B2B Salesforce.com platform. The Salesforce Developer implements solutions based on the overall technical strategy for the platform, following specified documentation, coding and design patterns and best practices. The role requires solving unique or complex problems, individually or in group-think fashion, specific to the Salesforce.com platform. What you’ll do Design, develop, test and maintain usable, scalable, extensible solutions on the Salesforce.com platform Translate business requirements into logical, component-based technical implementations using the Salesforce.com toolkit – Apex, Lightning components, JavaScript, workflows, approval processes, triggers, SOQL, Produce technical specification and design documents as required Collaborate with scrum team members to ensure thorough understanding of business requirements and processes Produce all required artifacts, including analysis and design documentation, as well as technical implementation specifications Support implementation activities and troubleshooting of system environmental issues – sandbox and production Provide ongoing code-level maintenance and support Drive resolution of all issues that occur during development Attend and provide input to the scrum ceremonies, and provide level of effort estimates for sprint planning Perform Administrative configuration, as needed What you’ll bring 6+ years of rigorous design and development experience 4+ years of solid hands-on experience developing on the Salesforce platform including Apex, Visualforce, APIs(REST/SOAP/Tooling/Metadata/Bulk/etc),approval processes, flows, triggers, Lightning Web Components (LWC), web services, SOQL, SOSL, Analytics Experience integrating Salesforce.com with enterprise-level applications though all available integration channels as well asSalesforce-to-Salesforceintegrations Experience working locally with Git and interacting with remote repositories Strong relational database design/development skills Strong analytical, problem solving/decision making skills Experience working in an Agile Scrum delivery framework Excellent oral and written communication skills Ability to meet or exceed standards of quality, security and operability required in a DevSecOps culture Salesforce certifications such as Salesforce Certified Platform Developer, Salesforce Certified CPQ Specialist, or Salesforce Certified Technical Architect are highly desirable Experience with ETL tools is a plus Exposure to any of the following tools and applications a plusGitlab, AutoRabit, Rally Financial Services experience a plus Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

ABOUT THE ROLE Gracenote is the top provider of entertainment information, creating industry-leading databases of TV, movie, and music metadata for entertainment guides, applications and in-car entertainment. We are the leading supplier of TV and movie entertainment data. We supply data to entertainment platforms and devices. We are presently looking for an Editorial Analyst in our Video Descriptor area. Work as an expert editorial analyst on our content team, identifying the precise descriptive metadata (like genres and keywords) to film and TV programs which will be used to create recommendations for viewers. RESPONSIBILITIES : 1. Understand the plot and tag film and TV projects with a variety of keywords describing mood, theme, scenario and other descriptors without giving away spoilers. 2. Analyze, develop and recommend solutions for editorial and operational needs to ensure the accuracy of descriptors. 3. Provide feedback to the Product team in order to optimize the editorial tool. 4. Work with the Taxonomy team to create a robust system for video descriptors. 5. Be able to efficiently manage multiple tasks simultaneously as assigned by seniors and/or management. 6. Maintain accurate database information, ensuring all output conforms to strict broadcast 7. Able to adapt to working in a fast-paced environment with stringent deadlines. 8. Maintain accurate database information, ensuring all output conforms to strict broadcast quality standards, internal policies and client service level agreements 9. Self-manage Key Performance Indicators on a daily basis 10. Identify cross-skilling opportunities to support other projects. SKILLS & EXPERIENCE: Exceptional command over English grammar, punctuation, and syntax Minimum 3-5 years of work experience in metadata tagging, content creation or related field PG degree in English Literature, Journalism and Mass Communication, Film Studies or related field Passionate about consuming content - TV and movies - and a good understanding of the US entertainment industry Strong knowledge of movie and TV show genres and subgenres Stay abreast of the latest programs and movie releases Should have basic/relevant knowledge of the AP style guideFamiliarity with metadata standards and best practices Ability to deal with changing requirements in a given day to meet the needs of the other teams and the tool Experience using content management systems Strong research, rephrasing and rewriting skills Problem-solving mindset and willingness to take initiative while mitigating risks Knowledge of Google Suite Ability to communicate and collaborate effectively ABOUT THE TEAM Gracenote, a Nielsen company, provides music, video, and sports content along with technologies to the worlds hottest entertainment products and brands, which is also a global standard for music and video recognition which is supported by the largest source of entertainment data. Gracenote features descriptions of more than 200 million tracks, TV listings for 85+ countries, and statistics from 4,500 sports leagues and competitions. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

More than 5+ years of experience in data modelling – designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG"

About this role: Wells Fargo is seeking a Lead Data Management Analyst In this role, you will: Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes Oversee analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures Identify new data sources and develop recommendations for assessing the quality of new data Lead project teams and mentor less experienced staff members Recommend remediation of process or control gaps that align to management strategy Serve as relationship manager for a line of business Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Represent client in cross-functional groups to develop companywide data governance strategies Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes Oversee analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures Identify new data sources and develop recommendations for assessing the quality of new data Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Represent client in cross-functional groups to develop companywide data governance strategies Help analyzing the data streamlining to simplify overall data extraction Data Wrangling, Data Analysis leveraging internal data platforms which include SORs (like AIMS, AFS etc.,) , CLOSs (nCino etc.,), data lakes & aggregators like IHUD, WDM, WCDIR etc., Responsible to provide various Regulatory reports like Schedule H (C&I, CRE loans), Large Corporation Syndicated Credits, Small Loan cost survey (FR2028D), HC-L, 14M and Leverage Lending These reports require an in-depth knowledge of various accounting terms like Invoice Factoring, fronting, Swinglines, Commitment to Commit and Disposition Work with the various upstream systems to standardize data and support the data for FR Y-14 Regulatory reporting function of Commercial Banking. Required Qualifications: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience: Strong analytical skills with high attention to detail, accuracy, and data wrangling Ability to articulate complex concepts in a clear manner Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship Ability to manipulate data from non-normalized or disparate data sources Documentation of the updated logic for regulatory audit needs Ownership & Accountability for Delivery Experience in Commercial Lending Systems Knowledge in 14Q Regulatory Reporting space Technical Expertise: Experience in SQL Teradata Good knowledge & experience in JIRA or any Defect Management Tool Good knowledge & experience in Agile Project Management Tools MS Office suite Exposure to Data Visualization Tools like Tableau/Power BI is a plus Soft Skills & Traits: Good Verbal & Written Communication Ability & Compatibility to work with US Geography from India Time Zone Ability to work independently and handle large scale deliveries Open to New Ideas & Contribution in Innovation & Automation Job Expectations: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Experience analyzing data defects, identifying the root cause and defining the remediation options. Experience working with complex datasets using SQL Experience working in Commercial Banking and Lending Data (CBL) Domain at Wells Fargo Regulatory Reporting Experience is a plus - FRY 14, FRY 9C, BASEL, FFIEC, FR 2052a, BSA/AML..etc Prior experience with Wells Fargo CBL data domain is a plus (e.g.: iHub, AFS, LIQ, AIMS, CHOICE, LUCAS, WCDIR, WCIS, PBC, LVT) Proficiency in written skills to author requirements documents, specifications and training documents. Ability to develop business metadata and data dictionaries Must demonstrate strong communication skills including Management Reporting (good with Power Point skills). Excellent verbal, written, and interpersonal communication skills.

Position Summary We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role demands deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations. Key Responsibilities Lead the data architecture design across multiple SAP modules and legacy systems. Define data governance strategies , master data management (MDM), and metadata standards. Architect data migration strategies for SAP S/4HANA projects, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure integration across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Conduct impact assessments and ensure scalability of data architecture. Support reporting and analytics requirements through structured data delivery frameworks (e.g., SAP BW, SAP HANA). Required Qualifications 15+ years of experience in enterprise data architecture , with 8+ years in SAP landscapes . Proven experience in SAP S/4HANA data models , SAP Datasphere , SAP HANA Cloud SAC and integrating this with AWS Data Lake (S3) Strong knowledge of data migration tools (SAP Data Services, LTMC / LSMW, BODS, etc.). Expertise in data governance , master data strategy, and data lifecycle management. Experience with cloud data platforms (Azure, AWS, or GCP) is a plus. Strong analytical and communication skills to work across business and IT stakeholders. Preferred Certifications SAP Certified Technology Associate - SAP S/4HANA / Datasphere TOGAF or other Enterprise Architecture certifications ITIL Foundation (for process alignment) Technical Skills SAP S/4HANA Data Architecture Datasphere, HANA Cloud, SAC, BODS Data Services, LTMC /LSMW, SLT, CPI-DS SQL, HANA Native Modeling Integration with non-SAP systems Cloud Data Architecture (Azure/AWS/GCP) ETL/ELT and Data Quality tools Data Modeling Metadata Management

Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos. Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e), ATT, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally. Besides its SaaS business, Circles operates three other distinct businesses: Circles.Life : A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire : A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac : Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year. Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers. About Jetpac Jetpac, from Circles, is the coolest tech startup you will find, dedicated to making Travel super convenient and 100% hassle free. Were a bunch of rebels, renegades, and sometimes misfits, working together to change the Travel Universe. We grew 10x last year, with customers in >150 countries and availability in 10 different languages and currencies. At Jetpac, we take ownership and we lead! We are ambitious and resourceful Jetpac cadets, who would stop at nothing to get to the desired end outcome! If you think youve got the guts, the smarts, and the hustle to join us, then keep reading! Job Overview We are looking for a data-driven SEO Specialist to own and scale Jetpac s organic search performance globally. In this role, you will work cross-functionally to improve rankings, grow traffic, and expand our discoverability across high-intent keywords. You ll be responsible for driving Jetpac s visibility across web and app stores through robust content strategies, technical optimizations, and continuous experimentation. If you obsess over search intent, CTRs, and content velocity this is the role for you. Key Responsibilities Strategy Planning Develop and execute a comprehensive SEO strategy across key regions and product categories Own keyword research, topic clustering, and content planning aligned with Jetpac s growth goals Build and manage an SEO content calendar in collaboration with content and product marketing teams Identify opportunities for international SEO and language-specific optimization On-Page Content Optimization Optimize existing web pages, blog content, landing pages, and metadata for SEO performance Write and review SEO briefs for long-form content, ensuring alignment with brand and keyword goals Drive structured data/schema implementation for better SERP visibility Collaborate with the design and engineering teams on page structure, UX, and content hierarchy Technical SEO Conduct regular audits to identify crawl issues, site speed improvements, indexing errors, and broken links Ensure mobile-first indexing, core web vitals, and other Google ranking factors are consistently met Manage SEO tracking setup, including Search Console, GA4, and third-party tools Work with product and engineering teams to implement technical recommendations Performance Tracking Reporting Define and monitor KPIs such as organic traffic, keyword rankings, click-through rates, bounce rates, and conversions Use tools like Google Search Console, GA4, Ahrefs and Semrush to track performance Deliver monthly performance reports and recommend optimizations based on insights Conduct competitor analysis to identify content gaps and ranking opportunities Cross-Functional Collaboration Work closely with product, performance marketing, content, and localization teams Align SEO strategy with ongoing campaigns, launches, and business priorities Collaborate with developers and designers to build SEO-friendly pages and templates Coordinate with PR and backlink-building partners to grow domain authority Requirements 4-7 years of hands-on SEO experience, preferably in a product-led or high-growth company Strong understanding of SEO fundamentals (on-page, off-page, technical) Experience using tools like Ahrefs, Semrush, Google Search Console, GA4 Solid understanding of HTML, site architecture, and mobile-first principles Proven success in growing organic traffic and improving keyword rankings Excellent communication skills and ability to work cross-functionally in fast-paced teams Bachelor s degree in Marketing, Communications, Computer Science, or a related field Preferred Experience Prior experience in the travel, telco, fintech, or SaaS domain Experience with app store optimization (ASO) is a strong plus Familiarity with multi-language/multi-region SEO strategies Desired Skills Deep understanding of keyword research and content clustering Familiarity with content management systems (e.g., Webflow, WordPress, or custom CMS) Ability to analyze SEO data and tell a compelling growth story Strong project management and prioritization abilities Growth mindset with a passion for learning, testing, and iterating What We Offer: Competitive salary and excellent performance-based incentives. Comprehensive benefits package, including health, dental, and vision coverage. Flexible work arrangements with remote or hybrid options. Opportunity to work with a dynamic and innovative global team. Career growth and professional development opportunities

Development Data Enablement team is responsible for implementation of data management solutions and adoption of data management strategies across Drug Development line functions, with particular emphasis on delivering Data Engineering, Integration, Master Data Management, Metadata Management and Data Quality initiatives. The team is responsible for adoption of Enterprise Data Management principles and guidelines across Development systems to help improve data maturity & reliability, complying with Data Governance, Data Management Framework and Data Architecture Standards. In this role, your principal responsibility is to adopt and implement the data architecture across diverse data management initiatives. This role demands close collaboration with a wide range of team members including stakeholders, data leaders, SMEs, architects, modelers, and data engineers. The ideal candidate should possess a robust background in data architecture. The role reports to Data delivery lead in Data, Analytics and DS&AI for Development domain. Key Responsibilities: As a Data Architect, your main responsibilities will be to apply your deep expertise in defining how the data will be stored, consumed, integrated and managed by different entities and IT systems. Contribute to the creation and adoption of the data strategy in close cooperation with Enterprise Data Owners & Enterprise Data Architects. Define function specific data, by defining and documenting the conceptual and logical models, establishing the business process definitions of the data and use of taxonomies to establish relationships between the data. Contribute to the creation and documenting of Enterprise conceptual and logical models while ensuring solutions are aligned and documented according to Novartis data architecture principles. Collaborate closely with domain- and solution-architects to design solution-architectures that comply to all Novartis standards. Define and Track Key Performance Measures related to data architecture deliverables. Define and maintain data landscape/data-flow for the respective domain. Responsible for Data Architecture review as part of demand management including deliverables such as Data Flow Design, Data Landscape, Data Model. Articulate solutions /recommendations to business users. Provides pathways to manage data effectively for analytical uses. Coordinates, prioritize and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drive issues to resolution, balances multiple priorities and minimizes surprise escalations. Collaborates with internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, propose operational efficiencies and innovative approaches. Ensures exemplary communication with all stakeholders including senior business leaders Ensure on time, within budget, compliant, secure, and quality delivery of portfolio of projects in Data Analytics and DS&AI. Assists Project IT teams during full lifecycle of execution including gaps assessments, cost estimations, data architecture and execution. This role requires working with senior stakeholders in business, operations & technology to implement and adopt data management roadmap. Education & Qualifications Bachelors degree in computer science, engineering, or information technology discipline; an advanced degree and related accreditations a plus. Experience A seasoned professional with 12+ years of total work experience, of which 8+ years are dedicated to Data Architecture design, creation, and management, leading data architecture initiatives. Deep understanding and significant experience with data modeling, metadata technologies, data governance tools, and data management principles. Equipped to handle complex enterprise-level data architecture design and maintenance. Demonstrable experience in aligning data architecture with business strategy, effectively communicating technical concepts to non-technical stakeholders, and leading cross-functional teams for data architecture projects. Proficiency in managing data governance processes and ensuring adherence to data regulations and privacy standards. Solid problem-solving skills in addressing data architecture challenges and performance issues, as we'll as the ability to fine-tune data models for scalability Adept at working with Data Governance Frameworks like DCAM, DAMA-DMBOK, and others, and implementing such principles into existing structures. 8+ years of relevant experience in Data Management 5+ years of relevant experience in Pharma Life Sciences. Technical / Functional Skills & Knowledge Key skills include the ability to implement a data strategy, maintaining data governance frameworks, proficiency in designing and maintaining data models, knowledge of data integration techniques and tools Knowledge and experience of data security practices, big data and visualization technologies, Data Quality implementation tools and ETL tools (Databricks) is expected of this role. Industry Knowledge: Deep understanding of Pharma Life Sciences industry, its data needs, and regulatory requirements, along with a grasp of data governance frameworks like DCAM, DAMA-DMBOK. Demonstrated strong interpersonal skills, accountability, written and verbal communication skills, and time management aligned with Novartis Values & Behaviors; deep technical expertise and understanding of the business processes and systems. Customer Orientation: Proven ability to communicate across various stakeholders, including internal and external, and align with all levels of IT and business stakeholders. Hands on experience with data governance, data quality, and master / reference data tools such as Collibra, Informatica Data Quality, Reltio, Tibco EBX and SQL.