758 Metadata Jobs - Page 29

The Strategy & Consulting Global Network Song Practice Job Title - Content Writer + Analyst + The Strategy & Consulting Global Network Song Practice Management Level: 11 - Analyst Location: Mumbai Must have skills: Content creation (including static & video assets) Good to have skills: Basic knowledge of SEO principles, including keyword research and optimization Knowledge of digital ad platforms like Google Ads, Meta Ads, or LinkedIn Ads Familiarity with social media analytics tools to gauge campaign performance Job Summary : We are seeking a Content Specialist to create high-quality, engaging, and SEO-optimized content across various channels, including blogs, social media, and marketing materials. This role involves editing, research, and content optimization to ensure clarity, accuracy, and brand consistency. You will collaborate with cross-functional teams, analyze content performance, and manage multiple projects while adhering to brand and compliance standards. Join our team of SONG who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consultings Customer, Sales & Service practice. The Practice- A Brief Sketch The practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Content Creation: Develop high-quality, engaging, and SEO-optimized content for various channels, including websites, blogs, whitepapers, social media, email campaigns, and more Create thought leadership articles, case studies, and product-centric content that aligns with brand goals Create brochures and point of sales materials Editing and Proofreading: Edit and proofread content to ensure grammatical accuracy, clarity, and consistency with brand tone and style Review and refine user-facing content to meet high-quality standards and eliminate errors Research and Analysis: Perform thorough research on industry trends, topics, and competitors to deliver credible and relevant content Analyze content performance metrics to iterate and improve strategies for better engagement Collaboration: Work closely with marketing, design, and product teams to ensure alignment between content and overall campaign goals Partner with designers to create visually appealing and content-rich assets, such as infographics and presentations Content Optimization: Optimize web content for search engines (SEO) using targeted keywords, metadata, and link-building strategies Adapt and repurpose content for different formats and platforms to maximize reach and impact Project Management: Manage multiple content projects simultaneously, ensuring timely delivery while maintaining quality Stay flexible and efficient in a fast-paced, deadline-driven environment Compliance and Documentation: Ensure all content complies with legal and brand standards, including accessibility and regulatory requirements Maintain organized project files, style guides, and documentation for easy handoff and collaboration Brin g your best skills forward to excel at the role: Content Writing & Editing SEO & Digital Marketing Research & Analytics Project Management & Collaboration Technical Proficiency (CMS, Analytics, Design Tools) Your e xperience counts! Postgraduate or Graduate in Marketing/Advertising or BMM or Other Graduate Mass Media Degree Candidate with at least 3+ years of hands-on experience with content creation Must have skills: Content creation (including static & video assets) Good to have skills: Basic knowledge of SEO principles, including keyword research and optimization Knowledge of digital ad platforms like Google Ads, Meta Ads, or LinkedIn Ads Familiarity with social media analytics tools to gauge campaign performance Qualifications Experience: Candidate with at least 3+ years of hands-on experience with content creation Educational Qualification: Post Graduate or Graduate in Marketing/Advertising or BMM or Other Graduate Mass Media Degree

" Netflix is one of the worlds leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The Team PDP OPS Partnerships manages a diverse partner ecosystem consisting of creative agencies, media processing facilities, and metadata/tagging specialists. Collectively, these vendors are responsible for delivering the assets necessary to discover, promote, and stream titles on service. The Role The Technical Program Manager is responsible for executing technical program improvements in line with multi-year strategic objectives. You will be a crucial execution partner developing the data reporting infrastructure necessary to ensure adherence to our delivery specifications, external spend and billings, and evolving KPIs. This role will also be responsible for supporting/maintaining home-grown task management solutions used to externalize work to our vendors. Internally, you will work closely with our partner managers, fellow TPMs, and analytical and operational teams to support the development of partnerships that are nimble, nuanced and set a new bar. This role provides an exciting opportunity to learn about Netflix Product promo media space, tagging workflows like ads and annotations, and our nonbranded, licensed content delivery ecosystem. You will develop deep relationships with each of these teams in support of advancing internal technical programs. Desired Background The intangibles: You are a problem solver. You are able to breakdown challenges into bite-sized solutions to ensure continued progress You are data-driven, passionate about metrics/analytics, and use these signals to consistently improve You are a self-motivator. You proactively anticipate the needs of your stakeholders Hard skills: You have strong data analytics skills with 5+ years of relevant experience. Youre no stranger to writing complex SQL queries with multiple joins, case statements, etc. You have familiarity working in big data environments and have a lot of experience with ETL data processes You have strong data visualization skills. Were looking for a candidate that has a lot of experience using Tableau to develop both operational and financial dashboards. Our ideal candidate has experience building multipurpose dashboards that offer visualizations at different levels, catering to the unique data discovery needs of various user groups, including project/program managers and executives Nice to haves: Familiarity with at least one programming language (JS or Python preferred) Experience as a Zendesk administrator Airtable proficiency Responsibilities Develop data and reporting infrastructure to support strategic needs of PDP Ops Partner Managers Provide frontline support for our home-grown task management solution Set-up monitoring on all data workflows, triage issues, and continuously work to improve stability/reliability Triage day-to-day Project Management escalations from internal and external stakeholders Ensure metrics are an accurate reflection of vendor performance, develop/support systematized reattribution workflows to ensure partners are not being penalized unfairly

Step into the role of a Principal Architect at JPMorgan Chase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies. As a Principal Architect at JPMorgan Chase within the Corporate Oversight and Governance, Operational Resilience team, you will be tasked with leveraging your unique skills to enhance and develop architectural platforms using cutting-edge cloud technologies. Your role will also involve advocating for the deployment of strategic global solutions. Your extensive understanding of architecture will be instrumental in working with peers across the company to deliver exceptional outcome Job responsibilities Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies Develops multi-year roadmaps aligned with business and architecture strategy and priorities Creates complex and scalable coding frameworks using appropriate software design Develops secure and high-quality production code, and reviews and debugs code written by others Serves as the function s go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions Champions the firm s culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in Java language Deep knowledge in one or more software, applications, and architecture Advanced knowledge of software architecture, application development, and technical processes with cloud experience. Understanding of Data Architectures and models across operational and analytic use cases (eg, OLTP modeling, Star schema, Low latency analytical) Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines Ability to present and effectively communicate to Senior Leaders and Executives Understanding of the business Practical cloud native experience Preferred qualifications, capabilities, and skills Data Management Practices, including Data Dictionaries & vocabularies, Lineage, Cataloging & registration, logical & physical representations of data, Data Quality Data Governance practices, such as evaluating metadata & data, assess for usability, standard definition, publishing standards, drift monitoring Focus on forward engineering practices rather than tollgates using development type artifacts / manifests rather than PPT/XLS paperwork Data Standards for all data publishing, regardless of operational/analytical, and how that advances the greater good Business architecture application methods, including mapping of business capabilities, services, processes to the information and data architecture

Responsibilities The Opportunity Lead a team of multi-domain stewards to successfully deliver data governance for the Design-to-Value (DTV) program in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation. Your Impact As Data Gov. & Stewardship Manager - DTV Program Coordinator your scope would consist of: Provide work direction for 5-10 stewards and contractors Drive program metadata mgmt. to enable understanding of data Lead program data quality mgmt. to ensure data is fit for program use Comply with data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for DTV program data Qualifications Who Are We Looking For? Qualifications: 5+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Packaged Good) company; Strong data management background who understands data, how to ingest data, proper data use / consumption, data quality, and stewardship. 5+ years of experience working with data in the Supplier, Finance and/or Material domains, associated processes, involved systems and data usage. 5+ years of experience working with SAP implementations, including significant knowledge of master data table schema and exposure to data conversion, workflows, and the design of data quality rules. Preferred experience working with SAP S/4 HANA and SAP MDG Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented. 3+ years of experience managing/leading data professional direct report(s). If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements. What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

Job summary Work hard. Have fun. Make history. At Catalog Support and Programs (CSP) we provide user technical support WW and provide the business with a single point of contact for issues related to Catalog systems and tools. We enable increased selection through new marketplace, merchant and retail pipeline set-ups, and own the on-boarding of new vendor feed integrations. Our team owns driving strategic cross-functional programs that span across multiple catalog services teams and own governance and configuration of metadata and business rules. As a leader in the CSP organization, you will lead your team in supporting our business teams worldwide by providing critical product support, carrying out data research, liaising with technology and other internal teams on workflow improvements, data interpretation and data improvements and help providing solutions that drive ongoing improvements to the quality of Amazon s catalogs. To meet these challenges, we are looking for passionate, talented and super-smart support managers. We are looking for people who can mentor support engineers, innovate, love solving hard problems and never take no for an answer. Lead a team in supporting our business teams worldwide by providing critical product support Technically lead on your team and act as a subject matter expert for one or more services Lead large multi-team projects and resolve the most complex support issues. Drive the team to improve operational efficiency for all services through the identification and development of SLAs, metrics, monitors, procedures, tools, and documentation Drive the team to improve operational efficiency for all services through the identification and development of SLAs, metrics, monitors, procedures, tools, and documentation Think proactively and work to prevent support issues before they are realized. Regularly work with management to assign tasks and small projects to other Support Engineers Take a role in the strategic direction of the team Play a significant role in hiring, mentoring, and training employees Demonstrate excellent judgment when making decisions. Bachelors degree in Engineering or related field. 8+ years experience in software development, testing or support engineering. 3+ years of technical lead experience 2+ years of experience in hiring, developing and evaluating performance of engineers. Hands on experience in perl/shell scripting, JavaScript, SQL queries and Linux commands. Experience in electronic data interchange is a plus. Demonstrated skill and passion for problem solving and operational excellence Ability to understand, troubleshoot and describe complex technical processes and issues. Clear and effective communication & documentation skills. Technical support experience is a definite plus.

Role & responsibilities Define and implement data architecture solutions based on business requirements. Design and optimize data storage, modeling, and integration strategies. Create Conceptual, Logical, and Physical Data Models (OLTP, OLAP, Dimensional Models). Architect end-to-end data solutions on data lakes, warehouses, and real-time analytics platforms. Collaborate with cross-functional teams to ensure seamless data flow and integration. Lead data governance, data security, and data quality initiatives. Develop best practices and reusable frameworks for data processing and analytics. Participate in defining data strategy and roadmaps for analytics and reporting. Ensure compliance with data privacy and security regulations. Troubleshoot and optimize data architecture for performance and scalability. Professional & Technical Skills: Must-Have Skills: Proficiency in Data Architecture Principles and best practices. Strong understanding of data modeling and database design. Experience in data integration, data migration, and ETL processes. Knowledge of data governance, data quality management, and metadata management. Familiarity with data security and privacy best practices. Experience with Cloud Data Platforms (AWS, Azure, GCP) and services like Redshift, Synapse, or BigQuery. Hands-on experience with Data Warehousing design and implementation. Understanding of data architecture patterns (Data Ingestion, Curation, Consumption, Reporting). Experience with DataOps, DevOps, and Agile Methodologies. Strong troubleshooting skills for monitoring and resolving data issues. Good-to-Have Skills: Experience in Big Data technologies (Hadoop, Spark, Kafka). Knowledge of Data Fabric, Data Lineage, and Data Security frameworks. Hands-on experience with data visualization tools (Power BI, Tableau, Looker). Familiarity with automating data quality checks and validation processes. Strong knowledge of SQL, Python, R, or other scripting languages. Qualifications: Bachelors/Masters degree in Computer Science, Data Engineering, or a related field. 5 to 8 years of experience in Data Architecture and Data Engineering. Experience in leading data projects and collaborating with multiple teams. Perks and benefits Competitive salary based on experience and skill level. Work Timing: UK (Immediate Joiner will be preferred)

Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling Data & Analytics"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of Data & Analytics potential and development of use cases that can transform business Transforming Businesses: Envisioning and Designing customized, next-generation data and analytics products and services that help clients shift to new business models designed for todays connected landscape of disruptive technologies Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing data and analytics products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & Analytics and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their Data & Analytics problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide Data & Analytics strategy for our clients that includes Data & Analytics Architecture, Data on Cloud, Data Quality, Metadata and Master Data strategy Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes Define a Data & Analytics operating model to manage data across organization . Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards Benchmark against global research benchmarks and leading industry peers to understand current & recommend Data & Analytics solutions Conduct discovery workshops and design sessions to elicit Data & Analytics opportunities and client pain areas. Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients A fair understanding of data platform strategy for data on cloud migrations, big data technologies, large scale data lake and DW on cloud solutions. Utilize strong expertise & certification in any of the Data & Analytics on Cloud platforms Google, Azure or AWS Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualifications Your experience counts! MBA from a tier 1 institute 5-7 years of Strategy Consulting experience at a consulting firm 3+ years of experience on projects showcasing skills across these capabilities- Data Capability Maturity Assessment, Data & Analytics Strategy, Data Operating Model & Governance, Data on Cloud Strategy, Data Architecture Strategy At least 2 years of experience on architecting or designing solutions for any two of these domains - Data Quality, Master Data (MDM), Metadata, data lineage, data catalog. Experience in one or more technologies in the data governance space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. 3+ years of experience in designing end-to-end Enterprise Data & Analytics Strategic Solutions leveraging Cloud & Non-Cloud platforms like AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera, Informatica, Snowflake, Palantir Deep Understanding of data supply chain and building value realization framework for data transformations 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & Analytics strategy recommendations as well as developing POCs Foundational understanding of data privacy is desired Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains CDMP Certification from DAMA preferred Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

The Data Platform team is committed to building a robust data ecosystem for CPP Investments. We offer comprehensive tools and services essential for creating data products within the firm. Our team develops and manages both base and composite data products that meet the needs of the enterprise as well as individual departments. These data products are designed to provide accurate, reliable, and actionable insights to support decision-making processes across various departments. We are looking for a Lead Business Analyst who brings extensive business analysis experience and, more importantly, a product mindset that delivers value to end users and drives business outcomes. This role emphasizes understanding user needs, continuous improvement, and data-driven decision-making. Accountabilities: Develop a deep understanding of customer needs and pain points, continuously improving products based on feedback and market trends, and embracing rapid experimentation to test hypotheses and encourage a culture of learning and innovation Facilitate requirements gathering sessions. Document and validate results with subject matter experts and drive the creation of strong system specifications that enable the development and/or acquisition of appropriate systems to meet business requirements Collaborate with cross-functional teams to develop and execute new data capabilities Perform analysis and transformation of various internal and external data sets Ensure data products are structured, reusable, and ready for consumption, enhancing the architecture by decoupling data from systems Work with the Product Owner on data product s strategy direction and manage the data product lifecycle Ensure compliance with CPPIB standards and make decisions about changes to data products Create a working group with data stewards and Technical Area Leads (TALs) to ensure appropriateness of access entitlement, data quality, and metadata Provide training and support to data users and track progress and KPIs 10-16 years of relevant experience with knowledge of the investment management and lifecycle for private and public investments Proven experience in data product management, data analysis, and data engineering Strong decisi

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients transformative business initiatives. For more information, please visit www.cbts.com . Job Purpose : The OneStream Administrator will report to the Finance Manager and is responsible for the joint administration of the OneStream CPM application. Essential Functions: Performing OneStream application build tasks and activities (Dashboards, Transformation Rules, Workflows, Business Rule changes, Data Adapter changes, etc.) Maintaining and enhancing application business rules, member formulas, workflows, and data integrations Following security administration to secure metadata, user access, controls of organization and entity structures, chart of accounts, mapping translations, reports and book sets, and reporting categories for the actual budget, and forecast Evaluating and building logical views, data hierarchies, and reporting structures Supporting ad-hoc business requests for data extraction as needed (audits IT, Tax, Financial) and other finance technology tools impacting OneStream including supporting end-user Quick View reports and development of various reports (OneStream Cube Views and Excel Add-in) and dashboards Creating test plans, process documentation, and training materials, and performing functional testing Supporting period close processing and data integrations, resolving mapping errors with reconciliation of data between systems Identify and troubleshooting any issues that may arise with the platform. This may involve working closely with other members of the team, as well as external vendors, to resolve technical problems and ensure the smooth operation of the platform Responsible for training and providing ongoing support to end-users of the OneStream platform Evaluating and executing platform upgrades. Education: Four years of College resulting in a Bachelors Degree or equivalent Certifications, Accreditations, Licenses: N/A Experience: 5+ years of proven experience in financial systems administration/implementation Special Knowledge, Skills, and Abilities: Experience working in OneStream, Hyperion, and/or Hyperion Financial Management (HFM) Proven experience in reporting implementation for multinational business Proven experience of system self-learning VBA, .Net or SQL coding an asset Bachelors degree in Finance, Accounting, Computer Science or a related field Knowledge of US GAAP Strong Written and Verbal communication skills along with being able to communicate effectively with technical and non technical team members. Supervisory Responsibility: This position does not have any supervisory responsibilities.

The Data Platform team is committed to building a robust data ecosystem for CPP Investments. We offer comprehensive tools and services essential for creating data products within the firm. Our team develops and manages both base and composite data products that meet the needs of the enterprise as well as individual departments. These data products are designed to provide accurate, reliable, and actionable insights to support decision-making processes across various departments. We are looking for a Lead Business Analyst who brings extensive business analysis experience and, more importantly, a product mindset that delivers value to end users and drives business outcomes. This role emphasizes understanding user needs, continuous improvement, and data-driven decision-making. Accountabilities: Develop a deep understanding of customer needs and pain points, continuously improving products based on feedback and market trends, and embracing rapid experimentation to test hypotheses and encourage a culture of learning and innovation Facilitate requirements gathering sessions. Document and validate results with subject matter experts and drive the creation of strong system specifications that enable the development and/or acquisition of appropriate systems to meet business requirements Collaborate with cross-functional teams to develop and execute new data capabilities Perform analysis and transformation of various internal and external data sets Ensure data products are structured, reusable, and ready for consumption, enhancing the architecture by decoupling data from systems Work with the Product Owner on data product s strategy direction and manage the data product lifecycle Ensure compliance with CPPIB standards and make decisions about changes to data products Create a working group with data stewards and Technical Area Leads (TALs) to ensure appropriateness of access entitlement, data quality, and metadata Provide training and support to data users and track progress and KPIs 10-16 years of relevant experience with knowledge of the investment management and lifecycle for private and public investments Proven experience in data product management, data analysis, and data engineering Strong decisi

You will need a collaborative delivery approach to be successful. We use Scaled Agile with standard-length program increments (12-14 weeks). Do you have a real passion for delivering well-engineered data and analytics solutions that can help improve patients livesIf you do, this will make you stand out from other applicants. Essential Skills/Experience Hands-on exposure to Collibra platform, user interfaces, APIs, data models, and workflows. Good engineering background to understand the metadata tech stack (Asset model creation, Org structure creation, User access and permissions mapping etc). Working knowledge of Snowflake, S3, Databricks and understanding of Datalake. Hands on experience in integration tech such as Snaplogic and Mulesoft. Strong Dataware-housing background. Hands on experience of engineering standard processes including CICD, automated testing, cloud infrastructure. Liaison with DevOps and Platform Success teams to plan and execute Continuous Service Improvements. Assist in requirement analysis, effort estimation and solution/technical design for improvements. Focus on innovation and continuous improvement to simplifying tech for customers. Ensure delivery of services focusing on automation, reuse, and standardized platforms. Ensure we partner with vendors to resolve issues/requests on priority. Desirable Skills/Experience Undergraduate degree in Computer Science, Informatics, or equivalent experience. 12+ years experience in IT and minimum 3 years hands-on experience in Collibra or similar data governance platforms. Demonstrable experience of supporting multiple tech stacks and ensuring uninterrupted platform support. Exposure to tools like BigID, Immuta are good to have. Proven experience of innovation, Lean and agile delivery methodologies. Experience with implementing these methodologies to improve efficiency and drive project success. Superb communication and influencing skills to connect with senior team members across IT business. Demonstrate initiative, strong customer orientation, and cross-cultural working.

The major skills and competencies required for this role include: A strong understanding of the audiences on YouTube. You relate to the problems of the audience and can define the vision of a channel to systematically address the problems in a differentiated way compared to other YouTube channels. Understanding of content strategy and SEO. You re a strong generalist who can solve problems in all areas with expertise in a few areas. In-depth knowledge of key metrics of YouTube channels and a detailed understanding of the drivers of those key metrics. You re a person who understands key levers to be used for influencing specific metrics. Quantitative bent of mind with an ability to diagnose the health of a channel through its metrics. All you need is a spreadsheet to understand key problem areas of a channel. Extreme curiosity and creativity with an experimentation mindset to explore new content categories, formats and growth opportunities. You re a person who loves exploring and critically analyzing other YouTube channels in your free time. Self-initiative and problem-solving mindset. You re excited by problems and love figuring out solutions for them. You take charge of your division and don t wait to be told what to do. Composure of mind in tough situations. You keep calm when times get tough and serve as an anchor to your team. Ability to connect with and gain the respect of team members from varied backgrounds. You re a natural leader that everyone looks up to and wants to work with. Qualifications and Skills: Bachelors degree in marketing, Communications, or a related field (preferred) Experience managing YouTube channels and implementing successful YouTube strategies Strong understanding of YouTubes platform, algorithms, and best practices Advantage of Knowledge of video production, editing, and optimization techniques Knowledge of SEO strategies and keyword research tools Familiarity with video analytics and reporting tools (e.g., YouTube Analytics, Google Analytics) Good written and verbal communication skills Strong analytical and problem-solving abilities Ability to work collaboratively in a fast-paced, dynamic environment Creativity and ability to think outside the box to drive engagement and growth on YouTube. Were looking for a YouTube Executive for our team to drive the growth of YouTube Channels. As a YouTube executive, you will: YouTube Strategy Development: Develop and implement a comprehensive YouTube strategy aligned with the companys goals and objectives. Manage the YouTube channel, including metadata optimization, thumbnail ideation and video monetization strategies. SEO and Keyword Research: Conduct keyword research and implement SEO best practices to optimize video titles, descriptions, and tags for improved visibility and organic reach. Analytics and Reporting: Monitor YouTube analytics, track performance metrics, and provide regular reports on key metrics, including views, engagement, and subscriber growth, to inform decision-making and improve content strategy. Stay Updated with YouTube Trends: Stay informed about the latest YouTube trends, algorithm changes, and best practices to ensure the channel remains relevant and competitive. Brand Reputation Management: Monitor and respond to comments, feedback, and inquiries on YouTube to maintain a positive brand image and address customer concerns effectively. Take charge of the culture, and learning and development of all channels to create an atmosphere where each team member is motivated to perform at their A game. Maintain trackers for each activity done on the channel with proper documentation. Maintain compliance with organisational processes and procedures.

Summary of Position: The Manager, Data Engineering People Analytics is responsible for leading a team of data engineers, architects, and analysts to support strategic people decision making. The role is responsible for the development and maintenance of data systems and infrastructure to enable efficient data processing, storage, and analysis. Responsibilities may include designing and building scalable data pipelines, integrating data from various sources, optimizing data workflows, implementing data security measures, and collaborating with cross-functional teams to meet business requirements. This role demands understanding and management of metadata to complement data provisioning in compliance with global standards. The position necessitates maintaining strong working relationships within Data Management and cross-collaborating with IT for database related needs. In this career path, responsibility lies in achieving goals through guiding and managing others. Key Responsibilities: Leads a team of data engineers and Business intelligence analysts to support people analytics data infrastructure insights Responsible for the coaching and development of team Responsible for data architecture design, data governance processes, and automation to maintain high performing/high quality systems Responsible for the development and maintenance of data systems and infrastructure to enable efficient data processing, storage, and analysis. Responsibilities may include designing and building scalable data pipelines, integrating data from various sources, optimizing data workflows, implementing data security measures, and collaborating with cross-functional teams to meet business requirements. Responsible for designing developing reports, dashboards, and executive presentations to support strategic decision, including use of sensitive HR data. Key Requirements/Minimum Qualifications: Bachelor s or Master s in Computer Science, Data Engineering, Information Systems, or a related field. 7 to 9 Years of experience. Data Modeling Architecture for Efficiency Project Management Data Engineering (ETL) Metadata management Leadership and mentoring skills Executive Powerpoint presentations Data Analytics BI Dashboards (Tableau, Quicksight, PowerBI, etc.) Data Integrity Attention to detail, Insights to Action, Dashboards/Visualization High proficiency in SQL Preferred: Experience in Alteryx, AWS Stack (Athena, Quicksight, S3) Work hours: 1 PM to 10 PM IST Relocation assistance: Yes Employment Scams: Alcon is aware of employment scams which make false use of our company name or leader s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings. ATTENTION: Current Alcon Employee/Contingent Worker If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site. Find Jobs for Employees Find Jobs for Contingent Worker

As part of the operational arm of data analytics, the Analytics Analyst - Quality will support the implementation of data governance decisions, maintain data quality documentation, and train end users on analytics solutions. The role involves developing and maintaining low-code applications, integrating data sources, and facilitating data governance processes to ensure the delivery of high-quality insights for business decision-making. Key Responsibilities: Develop & Maintain Low-Code Applications: Design, develop, and enhance low-code applications using Mendix/Power Apps based on business requirements. Integrate with Data Sources: Connect applications to SQL databases, APIs, and other data sources for seamless data flow and business logic implementation. UI/UX Implementation: Create intuitive, responsive, and user-friendly interfaces ensuring a smooth end-user experience. Power BI Integration and Development: Embed Power BI dashboards within applications for real-time reporting and analytics. Performance Optimization: Write efficient queries and optimize application performance for scalability and security. Troubleshooting & Debugging: Identify, diagnose, and resolve technical issues in applications and ensure smooth deployment. Collaboration & Documentation: Work closely with business analysts, stakeholders, and cross-functional teams to gather requirements, document solutions, and provide technical guidance. Support Data Governance Processes: Facilitate intake processes to reduce rework and promote reuse of analytics solutions. Data Integration and Cleansing: Collaborate with peers to integrate data from warehouses, data lakes, and other source systems. Cleanse data to ensure report accuracy and reduce duplication, maintaining documentation of the cleansing process. Support Analytics Projects: Produce insights to improve business decision-making and deliver results using reports, business intelligence technology, or other appropriate mechanisms. Enforce Data Standards: Assist in establishing and enforcing guidelines and standards for data collection, integration, and processes. Data Ingestion: Support project work to ingest key data into the data lake, ensuring the creation and maintenance of relevant metadata and data profiles. Stakeholder Support: Assist stakeholders and business teams with finding necessary and relevant data. Promote Analytics Best Practices: Participate in relevant communities of practice and coach business users in developing capabilities within the analytics ecosystem. Communication Preparation: Assist with the preparation of communications to leaders and stakeholders. Qualifications: Education: B. Tech in Computer Science (CS), Electrical & Electronics Engineering (EEE), Information Technology (IT), or a related field. Experience: Minimum 3 to 4 years of hands-on experience in Mendix/Power Apps, Power BI, and SQL. Key Skills: Mendix/Power Apps Power BI SQL Power Automate GITLAB/GITHUB Competencies: Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Interpersonal Savvy: Relating openly and comfortably with diverse groups of people. Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data to extract meaningful patterns and business insights. Data Mining: Identifying relationships and patterns through data exploration and visualization techniques. Data Modeling: Creating, writing, and testing data models to meet business, technical, and compliance requirements. Data Communication and Visualization: Illustrating data visually to construct a narrative around business problems and solutions. Data Literacy: Expressing data in context and describing the use-case application and resulting value. Data Profiling: Assessing data issues and cleansing requirements to establish high-quality data. Data Quality: Identifying and correcting flaws in data to support effective information governance and decision-making. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

Job Summary: We are seeking a highly skilled Data Modeller with 5-10 years of experience in data analytics and data warehousing projects on the AWS platform. The ideal candidate will have a strong background in data modelling, business requirements analysis, and KPI development. This role requires expertise in creating data flow diagrams, business process flow diagrams, and data mapping from source to target systems. The candidate should also be proficient in analysing source data for data quality issues and designing conceptual, logical, and physical data models for dashboards and KPIs. Experience with star schema, snowflake schema, and data marts is essential. Key Responsibilities: Gather and document business requirements for KPI development, dashboards, and reports. Create and maintain business process flow diagrams and data flow diagrams. Perform data mapping from source systems to target data models. Analyse source data in Excel or databases to identify and resolve data quality issues. Design conceptual data domains, logical data entities, and physical data models. Develop data warehouse models, including star schema, snowflake schema, and data marts. Collaborate with stakeholders, including business teams, data engineers, and developers, to ensure alignment between business needs and data architecture. Support data governance initiatives by defining metadata, data lineage, and data quality rules. Work on data analytics projects to enhance data-driven decision-making. Implement best practices for data modelling, ensuring scalability and performance optimization. Required Skills Qualifications: 5-10 years of experience in data analysis, data modelling, and data warehousing. Hands-on experience with AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda). Proficiency in SQL for data extraction, transformation, and analysis. Experience with data visualization tools (e.g., Power BI, Tableau, QuickSight). Strong understanding of data governance, metadata management, and data quality principles. Experience in designing and implementing star schema and snowflake schema and ER models. Proficiency in data analysis, including requirement gathering and stakeholder communication. Familiarity with ETL processes and tools like Erwin. Ability to work with large datasets and optimize performance. Strong problem-solving and analytical skills. Preferred Qualifications: Experience with Python other scripting languages for data analysis. Knowledge of data cataloging tools and data lineage tracking. AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect) are a plus. Experience in Agile development methodologies. Experience in working on AWS infrastructure.

Tech Stalwart Solution Private Limited is looking for Senior Data Modeler to join our dynamic team and embark on a rewarding career journey. A Data Modeler is responsible for creating conceptual, logical, and physical data models that describe the relationships between different data elements and the data structures that support them The modeler should be proficient in data modeling techniques, database design, and data management The key responsibilities of a Data Modeler may include:1 Designing and developing conceptual, logical, and physical data models to support business requirements 2 Creating and maintaining entity-relationship diagrams, data flow diagrams, and other visual representations of data models 3 Ensuring that data models are consistent, complete, and accurate, and that they conform to established standards 4 Developing data dictionaries and other metadata to describe data elements and their relationships 5 Conducting data profiling and data analysis to identify data quality issues and to ensure that data models accurately represent the data A successful Data Modeler should have strong technical skills, including proficiency in data modeling techniques, database design, and data management They should have experience working with large and complex data sets and have knowledge of relational databases and SQL

Knowledge and experience in the Compliance / AML domain will be a plus,Working experience with Quantexa tool is a must,Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments Proficiency in Scala programming language and familiarity with functional programming concepts Experience with Quantexa tool is highly preferred,Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools,Experience with Graphana, Prometheus, Splunk will be an added benefit Experience integrating and working with Elasticsearch for data indexing and search applications Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization Experience with distributed computing, parallel processing, and working with large datasets Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries Strong problem-solving and analytical skills with the ability to debug and resolve complex issues Familiarity with version control systems Elasticsearch to join our team,you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch,You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications,Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components Ensure data quality and integrity throughout the data processing lifecycle Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques Optimize data engineering workflows for containerized deployment and efficient resource utilization Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference Requirements

Navkar Digital Institute is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

The Delivery Manager for Data and Analytics Solutions will oversee the successful delivery of data and analytics projects and initiatives within Global Enterprise Solutions (GES) , ensuring alignment with business objectives and client needs This role requires strong leadership skills, a deep understanding of data and data analytics, and the ability to manage cross-functional teams effectively Your focus will span the entire data spectrum, emphasizing finance, procurement, employee services, and service desks You will work within a diverse range of enterprise system landscapes, including SAP, ServiceNow, and SuccessFactors, while leveraging cutting-edge data platform technologies such as Palantir Foundry, Snowflake, SAP BW/HANA, and AWS Who you are: Bachelor s Degree: A degree in Computer Science, Data Science, Information Technology, Business Administration, or a related field Master s Degree (Preferred): An advanced degree such as a Master s in Data Science, Business Analytics, or an MBA with a focus on data management and analytics Certifications (Optional but Beneficial): Relevant certifications in project management (eg, PMP, Agile), data analytics, or specific technologies (eg, SAP, AWS, Snowflake) can enhance qualifications Proficiency in English (Verbal, Written) Professional Skills, Qualifications and Experience Primary Skills: Proven experience 15+ years of experience working across the data spectrum Collaborate with key stakeholders (from business and IT) to enhance the understanding and utilization of data across finance, procurement, employee services, and service desks Also help identify data requirements for integration into analytics platforms supporting various projects Provide subject matter expertise in data management, governance, and analytics Specific expertise within the SAP ecosystem will be a bonus Develop and execute plans for delivering data solutions that support business operations, advanced analytics, and reporting metrics Build and maintain strong relationships with data delivery partners in IT and data consumers across finance, procurement, employee services, and service-desk functions Manage data project milestones, identifying and mitigating risks, bottlenecks, and inefficiencies in the data development lifecycle Track and manage workstreams and associated KPIs to ensure successful delivery of data solutions Ensure compliance with firmwide policies and standards related to data Design and implement processes to identify, monitor, and mitigate data risks, focusing on data protection, retention, storage, usage, and quality Influence and collaborate with cross-functional teams to resolve data-related issues promptly Provide mentorship and guidance to junior team members in executing specific data-related tasks Contribute to data modernization initiatives, including cloud migration and integration of data platforms Identify and document critical data elements, ensuring proper classification and metadata management to facilitate understanding and control Document requirements for data accuracy, completeness, and timeliness, and coordinate resources to meet these standards Secondary Skills: Analytical Thinking: Ability to identify business problems that can be addressed through data solutions Strong problem-solving skills and attention to detailA bility to work effectively in cross-functional teams and communicate technical concepts clearly Experience in working with GBS functions or similar shared services environments is a strong plusAbility to work on a dynamic, research-oriented team with concurrent projects Stay current with industry trends and advancements in data technologies to drive innovation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Multiplatform Front End Development React, Amazon Web Services (AWS), React Native, React.js Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve working with Amazon Web Services (AWS), React.js, and React Native to develop multiplatform front-end applications. Key Responsibilities:1 Understanding requirements and involving in design and implementation 2 Collaborate with other peers, having domain expertise to build the right solution that business needs 3 Self-driven and capable of managing multiple priorities under pressure and ambiguity 4 Ability to work effectively in a fast-paced environment 5 Keen eye for usability, creating intuitive visually appealing experiences 6 UI will be used by consumers to extract the relevant data from Metadata repository Development work in the search space using Elastic search Technical Experience:1 7 plus years' experience developing with ReactJS 2 State management with Redux3 Strong Fundamental JavaScript skills ES5 and ES6,CSS skills, 4 Experience with TypeScript or ClojureScript is a plus, Thorough understanding of Reactjs and its core principles 5 React combined with Flux/Redux experience is preferred 6 Thorough understanding of Reactjs and its core principles 7 Experience developing component-driven UIs 8 Experience with data structure libraries 9 Knowledgeable in performance optimization techniques.10 Knowledge of AWS services and deployment is an advantage Additional Information: The candidate should have a minimum of 5 years of experience in Multiplatform Front End Development React. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful multiplatform front-end solutions. Ready to work in B shift - 12 PM to 10 PM Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Multiplatform Front End Development React, Amazon Web Services (AWS), Java Enterprise Edition, JavaScript Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Multiplatform Front End Development React Application Lead, you will be responsible for designing, building, and configuring applications using Amazon Web Services (AWS), Java Enterprise Edition, and JavaScript. Your typical day will involve leading the effort to design, build, and configure applications, acting as the primary point of contact, and collaborating with cross-functional teams to deliver high-quality solutions.Key Responsibilities:1 Understanding requirements and involving in design and implementation 2 Collaborate with other peers, having domain expertise to build the right solution that business needs 3 Self-driven and capable of managing multiple priorities under pressure and ambiguity 4 Ability to work effectively in a fast-paced environment 5 Keen eye for usability, creating intuitive visually appealing experiences 6 UI will be used by consumers to extract the relevant data from Metadata repository Development work in the search space using Elastic search Technical Experience:1 7 plus years' experience developing with ReactJS 2 State management with Redux3 Strong Fundamental JavaScript skills ES5 and ES6,CSS skills, 4 Experience with TypeScript or ClojureScript is a plus, Thorough understanding of Reactjs and its core principles 5 React combined with Flux/Redux experience is preferred 6 Thorough understanding of Reactjs and its core principles 7 Experience developing component-driven UIs 8 Experience with data structure libraries 9 Knowledgeable in performance optimization techniques.10 Knowledge of AWS services and deployment is an advantage Additional Information: The candidate should have a minimum of 5 years of experience in Multiplatform Front End Development React. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful multiplatform front-end solutions. Ready to work in B shift - 12 PM to 10 PM Qualifications 15 years full time education

AI Expert (Team Lead) - LLM PII Detection Grid Dynamics is seeking an AI Expert (Team Lead) to spearhead the development of local Large Language Models (LLMs) for Personally Identifiable Information (PII) detection across our vast data ecosystem. This role involves building and fine-tuning custom LLMs that can identify PII in documents, databases, knowledge graphs, source code, and other knowledge-sharing platforms. The models must effectively handle data at scale (50+ PB of data) and remain up-to-date with continuous retraining on a quarterly or monthly basis. As the AI Team Lead, you will design and implement these AI solutions using technologies like Ray, llama.cpp, ollama, vLLM, and PyTorch, deploying them on Azure cloud and on-premises infrastructure for efficient, large-scale operation. You will also develop generative AI agents that leverage data schemas and metadata to improve PII detection accuracy. Collaboration is key: you will work closely with data engineering, security, and compliance teams to ensure the AI models meet business requirements and align with industry regulations (GDPR, CCPA, PCI DSS, etc.). Additionally, you will mentor a small team of AI engineers, guiding their work and fostering a culture of technical excellence and responsible AI practices. Essential functions Design, train, fine-tune, and optimize local LLMs or other NLP models for PII detection across diverse data types (documents, databases, knowledge graphs, code, and other knowledge-sharing formats). Develop generative AI agents (on Autogen/Langgraph) for schema- and metadata-based PII detection to enhance identification of sensitive data. Work with cutting-edge AI frameworks (Ray, llama.cpp, ollama, vLLM, PyTorch) to deploy and scale models efficiently in a distributed environment. Implement and optimize AI/ML solutions on Azure cloud and on-premise infrastructure, ensuring high performance and reliability. Collaborate with data engineering, security, and compliance teams to align AI solutions with business needs and regulatory requirements. Lead a small team of AI engineers, providing mentorship, code reviews, and technical guidance to drive project success. Maintain and monitor model performance, retraining models on a quarterly or monthly basis to handle 50+ PB of evolving data and to improve accuracy over time. Ensure AI models follow best practices and compliance standards, adhering to security requirements and regulations (GDPR, CCPA, PCI DSS, etc.). Qualifications Strong experience with AI frameworks such as Ray, llama.cpp, ollama, vLLM, and PyTorch for building and scaling LLM solutions. Expertise in LLM fine-tuning and prompt engineering, including techniques like Reinforcement Learning from Human Feedback (RLHF) to refine model outputs. Hands-on experience with AI model deployment in Azure cloud environments as well as on-premises servers. Familiarity with large-scale data (50+ PB) and distributed computing paradigms (e.g., using clusters or Ray) to handle massive datasets. Familiarity with MCP (Model Context Protocol) Servers and securing them. Strong programming skills in Python, with experience in machine learning frameworks and libraries. Ability to work cross-functionally with stakeholders in security, compliance, and data engineering to incorporate their requirements into AI solutions. Strong awareness if not implementation experience with Differential Privacy/Federated Learning. Excellent communication skills, with the ability to explain complex AI concepts and results to non-technical teams and leadership clearly. Would be a plus Proven experience leading small AI/ML teams, with a track record of delivering projects and mentoring team members. Knowledge of data security and compliance frameworks, as well as experience with responsible AI practices (ethical AI, bias mitigation, data privacy). Background in financial, payments, or security-related AI applications, giving you insight into the challenges and standards of the fintech industry. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

Grid Dynamics is seeking an AI Expert (Senior Engineer) to spearhead the development of local Large Language Models (LLMs) for Personally Identifiable Information (PII) detection across our vast data ecosystem. This role involves building and fine-tuning custom LLMs that can identify PII in documents, databases, knowledge graphs, source code, and other knowledge-sharing platforms. The models must effectively handle data at scale (50+ PB of data) and remain up-to-date with continuous retraining on a quarterly or monthly basis. As the AI Senior Engineer, you will design and implement these AI solutions using technologies like Ray, llama.cpp, ollama, vLLM, and PyTorch, deploying them on Azure cloud and on-premises infrastructure for efficient, large-scale operation. You will also develop generative AI agents that leverage data schemas and metadata to improve PII detection accuracy. Collaboration is key: you will work closely with data engineering, security, and compliance teams to ensure the AI models meet business requirements and align with industry regulations (GDPR, CCPA, PCI DSS, etc.). Essential functions Design, train, fine-tune, and optimize local LLMs or other NLP models for PII detection across diverse data types (documents, databases, knowledge graphs, code, and other knowledge-sharing formats). Develop generative AI agents (on Autogen/Langgraph) for schema- and metadata-based PII detection to enhance identification of sensitive data. Work with cutting-edge AI frameworks (Ray, llama.cpp, ollama, vLLM, PyTorch) to deploy and scale models efficiently in a distributed environment. Implement and optimize AI/ML solutions on Azure cloud and on-premise infrastructure, ensuring high performance and reliability. Collaborate with data engineering, security, and compliance teams to align AI solutions with business needs and regulatory requirements. Lead a small team of AI engineers, providing mentorship, code reviews, and technical guidance to drive project success. Maintain and monitor model performance, retraining models on a quarterly or monthly basis to handle 50+ PB of evolving data and to improve accuracy over time. Ensure AI models follow best practices and compliance standards, adhering to security requirements and regulations (GDPR, CCPA, PCI DSS, etc.). Qualifications Strong experience with AI frameworks such as Ray, llama.cpp, ollama, vLLM, and PyTorch for building and scaling LLM solutions. Expertise in LLM fine-tuning and prompt engineering, including techniques like Reinforcement Learning from Human Feedback (RLHF) to refine model outputs. Hands-on experience with AI model deployment in Azure cloud environments as well as on-premises servers. Familiarity with large-scale data (50+ PB) and distributed computing paradigms (e.g., using clusters or Ray) to handle massive datasets. Familiarity with MCP (Model Context Protocol) Servers and securing them. Strong programming skills in Python, with experience in machine learning frameworks and libraries. Ability to work cross-functionally with stakeholders in security, compliance, and data engineering to incorporate their requirements into AI solutions. Strong awareness if not implementation experience with Differential Privacy/Federated Learning. Excellent communication skills, with the ability to explain complex AI concepts and results to non-technical teams and leadership clearly. Would be a plus Knowledge of data security and compliance frameworks, as well as experience with responsible AI practices (ethical AI, bias mitigation, data privacy). Background in financial, payments, or security-related AI applications, giving you insight into the challenges and standards of the fintech industry. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

This position requires interfacing with various departments outside of Legal including Sales, Order Management and Finance. Candidates should have excellent interpersonal skills and the ability to adapt and the willingness to learn new tasks. You will join a team of contract professionals in a centralized legal operation that facilitates the execution and administration of contract agreements with Juniper customers and suppliers. You will also collaborate with other members of the Legal Operations team on process and technology improvements to positively impact efficiency and effectiveness. This role will require professionalism and discretion in handling confidential information, the ability to work in an organized and efficient manner, with high attention to detail, and the ability to handle multiple priorities at one time. Responsibilities include: Review, evaluate, and provide specific guidance concerning contracting policies and procedures. Meticulously support the global contract signature processing for a variety of documents. Duties include verifying request details, coordination with requestors to modify incorrect information, coordination with Juniper signatories, and signature process administration. Monitor changes to Juniper s authorized signature matrix and accurately apply the matrix while processing documents for signatures. Meticulously support Contract Lifecycle Management System (CLMS) repository and contents. Learn about Juniper s Contracts Taxonomy and Contract Metadata Dictionary to the extent required to perform duties efficiently. Update and maintain Excel spreadsheets and trackers; submit reports on a monthly and quarterly basis to the Senior Contract Specialist. Assist with adhoc projects as required. Support APAC business hours. Education and Experience: Bachelors degree and 5+ years of related experience and/or training. Excellent organizational, interpersonal, written and verbal communication skills. Proficiency with Microsoft Suite (e.g. Excel, Word and PowerPoint). Experience with content management/repository tools such as SharePoint and CLMS is highly desirable. Experience in electronic signature tools (e.g. DocuSign). Manage multiple concurrent tasks in a fast-paced environment and to learn, interpret, and communicate SOPs and guidelines. High attention to detail and superior reading comprehension skills are a must. Impeccable recordkeeping and record retention skills.

Lead functional and technical workshops with business stakeholders to identify and define requirements, deliverables and expectations. Lead Salesforce architecture design for sales, CPQ processes and instruct the solution framework to the salesforce development team ensuring best architectural practices. Create and maintain comprehensive architectural documentation and artifacts. Experience working with cross functional teams such as Sales, Strategy and IT. Serve as a subject matter expert to answer questions, troubleshoot issues, provide data, and resolve problems around sales processes. Participate in backlog grooming and prioritization sessions, helping to prioritize user stories based on business needs, technical complexities and dependencies. Basic Qualifications Over 6 years of experience with Salesforce architecture with focus on salesforce flows and Sales processes. Extensive experience with Salesforce platform, including configuration (flows, custom objects, validations, metadata), reports dashboards and preferably apex, visualforce, Lightning web components. Salesforce certified application architect. Strong project management experience and organizational skills with a history of leading and delivering complex initiatives independently Experience communicating effectively with stakeholders at all levels, including executives Demonstrated strong strategic thinking and problem-solving skills. Preferred Qualifications Salesforce CPQ Specialist certificate Experience on other GTM tooling (Netsuite, Gong, Clari etc) Experience working in Agile methodologies and using tools such as Jira/ ServiceNow If this opportunity interests you, you might like these courses on Coursera: Business Metrics for Data-Driven Companies Influencing: Storytelling, Change Management and Governance Specialization Reports, Dashboards, and Customer Success in Salesforce Strategic Planning and Execution