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Job Title NPSS Quality Assurance Manager Job Description Job Title: NPSS Quality Assurance Manager Lead and execute compliant, risk-based assurance for computerized systems that support medical device quality and business processes. This role combines hands-on Computer System Validation (CSV), quality oversight, stakeholder leadership, and audit readiness across the system lifecycle. Focus CSV / CSA and Quality Assurance Experience 8+ years in regulated environments Work Model Office-based / Hybrid designation to be confirmed The opportunity As an NPSS QA Manager, you will own and strengthen the validation and assurance framework for non-product software and computerized systems used in a regulated medical device environment. You will partner with process owners, IT, Quality, Regulatory, Cybersecurity, Privacy, suppliers, and project teams to ensure systems are fit for intended use, compliant, inspection-ready, and maintained in a validated state. Your role Provide quality oversight and consultancy across the full computerized system lifecycle, including intended use, classification, validation planning, requirements, risk assessment, supplier assessment, test strategy, traceability, release, change control, periodic review, incident and problem management, and retirement. Develop, implement, and maintain computerized system validation deliverables, procedures, and guidance for CSV and Computer Software Assurance (CSA). Collaborate effectively with project teams and the NPSS team, consistently applying current GxP standards. Apply a risk-based, critical-thinking approach that scales assurance activities to patient safety, product qual

Job Title NPSS Quality Assurance Manager Job Description Job Title: NPSS Quality Assurance Manager Lead and execute compliant, risk-based assurance for computerized systems that support medical device quality and business processes. This role combines hands-on Computer System Validation (CSV), quality oversight, stakeholder leadership, and audit readiness across the system lifecycle. Focus CSV / CSA and Quality Assurance Experience 8+ years in regulated environments Work Model Office-based / Hybrid designation to be confirmed The opportunity As an NPSS QA Manager, you will own and strengthen the validation and assurance framework for non-product software and computerized systems used in a regulated medical device environment. You will partner with process owners, IT, Quality, Regulatory, Cybersecurity, Privacy, suppliers, and project teams to ensure systems are fit for intended use, compliant, inspection-ready, and maintained in a validated state. Your role Provide quality oversight and consultancy across the full computerized system lifecycle, including intended use, classification, validation planning, requirements, risk assessment, supplier assessment, test strategy, traceability, release, change control, periodic review, incident and problem management, and retirement. Develop, implement, and maintain computerized system validation deliverables, procedures, and guidance for CSV and Computer Software Assurance (CSA). Collaborate effectively with project teams and the NPSS team, consistently applying current GxP standards. Apply a risk-based, critical-thinking approach that scales assurance activities to patient safety, product qual

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalization Excellence (GE) Zinnov's Globalization Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end—from Design & Discovery to Build, Scale, and Run . In GE, you don't work in silos. You: Support employer branding initiatives for leading global enterprises. Work alongside consultants, Talent Acquisition teams, and business leaders across GCC advisory and managed services engagements. Contribute to projects that shape talent attraction, employer branding, and organizational growth. Gain hands-on exposure to consulting, communications, and employer branding strategy. This is where creativity meets strategy—and where you'll build the foundation for a successful career in employer branding. About the Role As an Intern – Employer Branding

Job Title: Senior Data Analyst Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations to support business decision-making. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform quality checks (QC) and validation of reports and dashboards before client delivery. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, and business rules. Track work items, enhancements, and issues using JIRA . Mandatory Skills & Requirements (Must-Have) Strong hands-on experience with Tableau (mandatory), including: Dashboard development and publishing Calculated fields, filters, parameters, and LOD calculations Data blending and joins Row-Level Security (RLS) implementation Replacing and managing data sources Exp

Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct

Senior Data Scientist Description - Job Summary • This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability. Responsibilities • Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages. • Defines models to uncover patterns and predictions creating business value and innovation. • Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives. • Ties insights into effective visualizations communicating business value and innovation potential. • Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions. • Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences. • Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance. • Defines, communicates and drives data insights/innovation into the business. • Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business

We need experience HK staff Address: Carl Zeiss India (Bangalore) Pvt. Ltd. Bluenest Exora Business Park Eelctra Building Wing A 4th Floor Kadubeesanahalli Bengaluru Karnataka Facility: CARL ZEISS - BANGALORE - IFM SERVICES Qualification: Not Specified Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP575265

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalization Excellence (GE) Zinnov's Globalization Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end—from Design & Discovery to Build, Scale, and Run . In GE, you don't work in silos. You: Lead strategic employer branding engagements for leading global enterprises. Partner with GCC leaders, HR, Talent Acquisition, and business stakeholders to solve complex talent and branding challenges. Work across GCC advisory, managed services, and talent transformation engagements. Influence employer brand strategy, talent attraction, and organizational growth through consulting-led solutions. This is where strategy meets execution—and where employer branding becomes a key driver of business and talent success. About the Role As a Manager – Employer Bran

Category: Home furnishing Roles and Responsibilities Role: Work closely with Category Manager to drive the business in the relevant category with focus on growth and increasing the market share. Manage relationships with brand partners & establish Myntra as the preferred destination for customers as well as brand partners. Responsibilities: Intake / OTB management - Monitor inventory situation & plan inwards based on the DOH plan & plan timely RTVs Selection – making season level buy plans / assortment plans, based on past performance & growth / revenue targets to ensure that the category is well represented Review style level performance based on metrics such as ROS, Sell thru, RPI, RGM Category visibility planning & interventions – planning banners for respective brands and raising banner requests on time Identify gaps in product offerings & subsequently introduce / onboard new brands / categories Managing pricing (SOR / OR) – follow up with brands on securing timely discounts and updating the same, control pricing internally as per planned GM / RGM. Working closely on OR discounting based on profitability requirements Be an effective bridge between brands & internal teams for all communications Operational excellence: Should have prior experience or enough knowledge & confidence to manage merchandising operations, inbound planning, cataloguing & discount monitoring Qualifications & Experience Graduate from NIFT or other reputed institution 3-4 Years of relevant experience in Apparel buying / planning / merchandising Understanding of planning & Inventory management (Understanding of E-comm will help) Willingness to learn, innovate, take initiatives Strong MS Excel skills & understanding of data analytics Customer centric, creative & analytical problem-solving mindset Ability to work as part of a team & collaborate with others Should be good at multitasking & tim

Qualifications & Experience 8+ years of work experience required with a minimum of 4 years in a product management role. Product Craft: Designing and shipping software consumer facing products. Stakeholder Management: Work closely with Engineering and Business to drive the product roadmap. Ability to organize, manage, prioritize and take tradeoff calls while working with engineering and other stakeholders. Cutting Edge: Be in the know of product/business trends within and areas adjoining the UGC charter and be able to bring the relevant ones to the roadmap. Data/Logic-driven Approach: to work with large quantities of data, insights and business skills to leverage analytics for decision making.

Desired Skills and Requirements 6 - 8 years of product management experience ideally for consumer web products or ecommerce. BE from premier schools. MBA a plus. Ability to work with large quantities of data and business skills to leverage analytics for decision making. Excellent verbal and written communication skills. Excellent interpersonal skills and ability to work with stakeholders. Work closely with Engineering and Business to drive Product roadmap Ability to organize, manage, and prioritize tasks. Prior experience working with engineering through complete technology product lifecycle. Ability to partner with stakeholders with influence & credibility. Have business and tech savvy and provide thought leadership by monitoring industry and technology trends Must be an innovative, strategic thinker and must be able to work in a fast-paced dynamic environment with changing priorities Must be able to author PRDs and Use Case Documentation to facilitate product development Bonus points: Must have worked in an Agile model using tools like JIRA and Confluence. Product Design experience is a definite plus.

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Principal Software Engineer – Backend The Challenge We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform. Your Mission Development Support development of web and mobile interfaces for product module or new prototypes using HTML, CSS, JavaScript/Typescript and/or the designing, development, and unit testing of applications deployed to MS Azure while assisting with cloud application architecture using Drupal, Python, Core Java, REST, and the Spring ecosystem. Achieve at least 80% code coverage or per the revised standards set by the team Collaboration Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design

JOB TITLE Talent Acquisition Analyst A CAREER WITH POINT72’S HUMAN RESOURCES TEAM As an HR Team, our mission is to be trusted business partners and advisors within the Point72 community, committed to driving a distinctive culture that values collaboration, innovation, and adaptive performance. We are a group of professionals who prioritize business context while listening to all sides, across teams and levels, with empathy. We strive to be commercial and innovative, focused on deeply understand the nuances of global and business unit dynamics and seeking unconventional ways of approaching our relationships with our people. WHAT YOU’LL DO The Talent Acquisition Analyst will be responsible for overseeing the end-to-end contractor lifecycle, with a strong emphasis on data accuracy, compliance, access governance, and spend visibility. This role will ensure contractors are onboarded efficiently, background checks are completed in accordance with policy, and system access is aligned with business needs and information security standards. Managing contractor onboarding from offer acceptance through system access activation, ensuring all required documentation and approvals are completed accurately and on time. Tracking and validating completion of background checks prior to start date, while maintaining clear documentation to support audit and compliance requirements. Partnering closely with Information Security and IT teams to ensure contractors are granted appropriate, role-based access and do not have access to sensitive systems or data unless explicitly required. Supporting periodic access reviews and ensuring timely updates when contractor scope, assignment, or business needs change. Determining contractor types and establishing clear guidelines for the appropriate process, documentation, approvals, onboarding steps, access requirements, and governance standards for each contractor category. Maintaining accurate contractor rec

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Create and execute automated and manual test cases to ensure optimal system performance according to specifications. • Work closely with software development and support teams to deliver high-quality applications in a timely manner. • Develop and maintain comprehensive test plans, including manual and automated tests for functional, regression, and integration testing. • Build consensus between stakeholders and developers to define clear and testable acceptance criteria. • Document quality assurance and process flows, both existing and proposed. • Advocate for best quality assurance practices and testing techniques. • Ensure any new software changes meet business, legal, compliance, and technical requirements. • Develop and maintain test automation frameworks for various applications in trading domains. • Maintain and track quality assurance capacity, velocity, statuses, and deliverables with the team lead. WHAT’S REQUIRED • 5+ years of experience in quality assurance with test automation, software engineering, or business analysis roles. • Comprehensive expertise in processing trades, managing trading and lifecycle events, handling corporate actions, and managing cash flows. • Experience supporting fixed income products, Equities and Treasuries. • Solid understanding of position management for listed and OTC products. • Understanding of SDLC, Test lifecycle, and testing methodologies. • Experience creating and writing SQL que