software engineer

electrical engineer

engineering manager

ai engineer

PepsiCo

<div>
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
</div>

Data Science Assoc Analyst

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 4

Mindrift

<div>
 
 
 This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.
 
 
 
 
 At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you'll have the opportunity to collaborate on these projects.
 
 
 Although every project is unique, you might typically:
 
 
 <ul>
 <li>
 Generate prompts that challenge AI.
 </li>
 <li>
 Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers.
 </li>
 <li>
 Correct the model's responses based on your domain-specific knowledge
 
 
 </li>
 </ul>
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 You have a Bachelor, PhD, Master's degree in Automotive Engineering
 </li>
 <li>
 You have a 3 years of professional experience.
 </li>
 <li>
 Your level of English is advanced (C1) or above.
 </li>
 <li>
 You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
 </li>
 <li>
 Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
 <ul>
 <li>
 Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
 </li>
 <li>
 Work on advanced AI projects and gain valuable experience that enhances your portfolio
 </li>
 <li>
 Influence how future AI models understand and communicate in your field of expertise
 </li>
 </ul>
</div>

Automotive Engineer - AI Trainer

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
 </li>
 <li>
 Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
 </li>
 <li>
 Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
 </li>
 <li>
 Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
 </li>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 5+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Proven ability to mentor team members and lead technical initiatives across multiple workstreams
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer III [T500-20127]

Microsoft

<div>
 Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission.
 
 
 We plan to build transformational experiences in Copilot notebook and are looking to hire a
 
 Software Engineer II
 
 in the OneNote Web team. The problems we solve will include building a multitude of grounding capabilities, creation of richer artefacts, multi-modal capture support, and above all building agent support on top of Copilot notebooks. The problems will also encompass deep architectural improvements to optimize performance and increase reliability. We plan to build these experiences at scale across all Web and mobile platforms and will continue to use the best-in-class infrastructure that boosts developer productivity &amp; engineering velocity.
 
 
 We are looking for creative problem solvers and diverse thinkers, people who care about culture as well as customers and features.  We believe that how we do things is at least as important as what we do.  Big vision, a common purpose, passion for quality, curiosity as well as grit, and investment in fun and collaboration are what lead to great results.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implementation of high-quality features/experiences in an iterative and rapid manner.
 </li>
 <li>
 Demonstrate passion for quality with customer empathy.
 </li>
 <li>
 Demonstrate ownership and technical expertise of product areas.
 </li>
 <li>
 Be self-motivated to identify and fix gaps in our product/engineering stack.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Full stack experience in Web technologies.
 </li>
 <li>
 Proficiency in one of the following languages - TypeScript, JS, C#, or Java.
 </li>
 <li>
 Strong problem solving, debugging, and troubleshooting skills.
 </li>
 <li>
 Working in agile teams with strong customer focus.
 </li>
 <li>
 Good communication and cross group collaboration skills.
 </li>
 <li>
 Experience in Cloud and distributed systems is a big plus.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 4+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer (WEB)

<div>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 The Business &amp; Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Copilot Studio, Power Apps, Power Automate, Dataverse and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
 
 
 We are Customer Experiences Team within BIC accountable for end-to-end AI transformation of Microsoft Sales &amp; Customer Success experiences. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Sales &amp; Customer Success organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Copilot Studio, Azure &amp; Power Platforms, we ensure our solutions are robust and efficient. Our organization&rsquo;s implementation acts as reference architecture for large companies and helps drive product capabilities.
 
 
 As a
 
 Product Manager
 
 on team, you will directly strategize, envision, and build the next wave of AI solutions. Your work will directly impact multi-billion dollar businesses&mdash;fuelling revenue growth, enhancing competitive advantage, and optimizing margins. You&rsquo;ll work across our engineering teams and partner closely with business leaders and with some of the most innovative companies in the world to deliver engaging and transformative AI solutions for use Microsoft Sales &amp; by millions of end-users while also driving our platform growth strategy. This role is an excellent opportunity for an AI-focused product manager with demonstrable experience in shipping AI first products &amp; services to the customer and partners.
 
 
 In this role, you will also have a direct role in pushing the latest AI frontiers, including autonomous agentic workflows, deep research and reasoning and multi-agent frameworks. And we maintain a focus on delivering high-quality user experiences, from conversational UX to emerging interaction models across the Microsoft and Copilot ecosystem.
 
 
 This position can be based at Hyderabad or Bangalore Microsoft India Development Center.
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with product designers, architects, executives, and end-users from leading AI companies and solution providers.
 </li>
 <li>
 Pitch AI agents' potential to transform business processes in new industries and innovative problem spaces.
 </li>
 <li>
 Lead scenario envisioning and UX &amp; technical product design to build and ship Copilot platform solutions; advise on GTM/adoption and evolving product and portfolio strategy.
 </li>
 <li>
 Serve as a key product expert for Copilot platform capabilities; train, advise, and guide customers and partners on technical capabilities, solution design, and AI platform strategy.
 </li>
 <li>
 Develop and drive engagement programs to enable &ldquo;hockey stick&rdquo; ecosystem growth based on designed scenarios.
 </li>
 <li>
 Capture, frame, and drive key product insights and developer ecosystem signals from the market to shape the future of Microsoft AI platform, apps, and developer toolset.
 </li>
 <li>
 Research, contextualize, prototype, and evangelize frontier technology trends to drive long-term product shifts.
 </li>
 <li>
 Embody the Microsoft culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree and 3-5 years of experience in product/service/program management or software development OR equivalent experience.
 </li>
 <li>
 Demonstrable experience shipping AI applications and agents, such as conversational UX, agent frameworks, and/or GPT/Copilot solutions.
 </li>
 <li>
 Experience with generative AI, cloud services architecture, or other highly technical areas.
 </li>
 <li>
 Experience in business technology scenarios with commercial SaaS offerings or customer solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Demonstrable recent shipping experience driving generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape.
 </li>
 <li>
 Breakthrough Solution and Automation: Partner with engineering to develop scalable fundamentals tools and dashboards that provide visibility into AI model performance, accuracy, and system impact.
 </li>
 <li>
 Cross-Functional Leadership: Collaborate with engineering, business, and platform teams to define fundamentals requirements, prioritize scenarios, and drive execution.
 </li>
 <li>
 Data-Driven Insights: Leverage telemetry, performance profiling, and diagnostics to identify gaps, validate improvements, and inform product decisions.
 </li>
 <li>
 Customer-Centric Design: Ensure fundamentals efforts reflect real-world usage and customer scenarios, with a focus on quality, reliability, and inclusivity.
 </li>
 <li>
 Communication and Influence: Clearly articulate fundamentals goals, findings, and trade-offs to technical and non-technical stakeholders, including executives.
 </li>
 <li>
 Continuous Improvement: Drive a culture of learning and iteration, using data and experimentation to refine fundamentals processes and improve product fundamentals.
 </li>
 <li>
 Preferred hands-on experience or solid familiarity with the Microsoft technology stack (M365 Copilot extensibility, Azure Foundry, Copilot Studio, AI agents, Azure OpenAI, Graph Connectors, Microsoft Teams extensibility platform, etc.)
 </li>
 <li>
 Ability to function autonomously &ndash; self-starter with curiosity, comfortable with ambiguity and rapidly-changing environments, good cross-group collaboration and problem-solving skills, demonstrated growth mindset.
 </li>
 <li>
 Ability to build data-driven product experiences, define metrics, and use analytics to derive insights for product and business decisions.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Product Manager II

GlobalData Plc

<div>
 
 
 About the Role
 
 
 
 GlobalData, a leading data, analytics, and insights platform for the world&rsquo;s largest industries, is looking for an experienced Business Analyst to join our Product Innovation team. In this role, you will help us build and refine our AI products by acting as a liaison between business strategy and technical execution. You will ensure every feature we build is not only technically sound but also directly addresses user needs and drives significant business impact.
 
 
 
 
 
 
 What You Will Do
 
 
 <ul>
 <li>
 
 Shape Product Requirements
 
 : Drive the discovery and documentation of business needs for our AI products. You will turn high-level ideas into detailed specifications, user stories, and acceptance criteria.
 </li>
 <li>
 
 Serve as a Bridge
 
 : Act as the main point of contact between business teams and our engineering and data science teams. You will also work directly with Business Leaders, Product Managers, and Designers to ensure our products are useful, intuitive, and user-friendly.
 </li>
 <li>
 
 Provide Strategic Insights
 
 : Conduct market and competitive analysis with a focus on AI trends (e.g., LLMs, Agents). Use data to inform product strategy and drive continuous improvement.
 </li>
 <li>
 
 Measure Success
 
 : Define and track key metrics for our AI solutions. You will be responsible for reporting on product performance and making data-driven recommendations to leadership.
 </li>
 <li>
 
 Champion the User
 
 : Run first-user tests and gather early feedback to validate features. You will ensure every new feature not only works but truly solves a problem for the end user.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Experience
 
 : 2-5 years as a Business Analyst, ideally in a B2B enterprise or startup in an AI-focused environment.
 </li>
 <li>
 
 AI Acumen
 
 : A strong grasp of applying AI capabilities and frameworks, like LLMs and Agents, to products and features. Experience with AI projects (personal or professional) is a big plus.
 </li>
 <li>
 
 Key Skills
 
 : Strong analytical and communication skills, a knack for creating clear requirements, and experience with Agile tools like Jira. Design thinking and basic/vibe coding skills will be your key differentiators.
 </li>
 <li>
 
 Education
 
 : A bachelor's degree in Business, Computer Science, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Commitment to D&amp;I and EEO:
 
 
 
 We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, GlobalData is proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favorable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
 
</div>

Business Analyst - Product Innovation

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