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Aditi India

<div>
 
 
 
 Summary:
 
 
 
 <ul>
 <li>
 
 
 Subject Matter Expert: be a subject matter expert (level 300 and 400) in any one the following company&rsquo;s purview data lifecycle manager, records manager, compliance manager and Audit services. Have a 200-level understanding of purview compliance stack.
 
 
 </li>
 <li>
 
 
 Be a trusted advisor to customers and product engineering. Use your cloud security skills to improve our Company Purview Compliance &amp; Governance products/services, help customers get and stay secure by helping them with deploying our security solutions.
 
 
 </li>
 <li>
 
 
 Advocate for our customers: Capture the voice of the customers and synthesize quantitative and qualitative feedback into actionable recommendations in a prioritized manner. Relentlessly champion customer voice to engineering teams and be a change agent to develop innovative ways to handle customer scenarios and resolve complex issues.
 
 
 </li>
 <li>
 
 
 Practice Company Culture: Growth mindset, One Company, and Customer Obsessed, and Diverse and inclusive.
 
 
 </li>
 <li>
 
 
 Collaborate and work with a global high performing team to help customers learn and deploy our purview compliance product, to educate Company field and third-party partners, identify technical blockers, gather feature requests, and share them with product teams.
 
 
 </li>
 <li>
 
 
 Drive Objectives and Key Results. Own and drive key results to enable the services to achieve business objectives.
 
 
 </li>
 <li>
 
 
 Collaborate with stakeholders to define product specific business objectives and rationalize, prioritize, and execute tasks to successfully achieve goals.
 
 
 </li>
 <li>
 
 
 Effectively communicate with quantitative and qualitative data to stakeholders across company in business reviews.
 
 
 </li>
 <li>
 
 
 Partner Development: Collaborate across Security CxE, Company Field cybersecurity and third-party Partners in supporting skills transfers across our Company Partners ecosystem to empower our customers, and drive scalability.
 
 
 </li>
 <li>
 
 
 Quality documentation and effectively educate others about Cl
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Data Compliance enablement - Product Manager
 
 
 
 <ul>
 <li>
 
 
 Focus on feature customization and telemetry analysis within Compliance Manager, DLM/RM, Priva, Communication Compliance.
 
 
 </li>
 <li>
 
 
 Maintain customer-facing documentation, track tenant-level activations, and support internal readiness for audit and regulatory reviews.
 
 
 </li>
 <li>
 
 
 Contribute to customer engagement strategies through office hours and feedback loops.
 
 
 </li>
 <li>
 
 
 Delivery of updated feature summaries and activation dashboards.
 
 
 </li>
 <li>
 
 
 Drive regulatory content development and customer outreach strategy.
 
 
 </li>
 <li>
 
 
 Curating customer lists for targeted engagement.
 
 
 </li>
 <li>
 
 
 Contributing to internal knowledge assets for knowledge management curation.
 
 
 </li>
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 Review technical limitations impacting product adoption.
 
 
 </li>
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 Provide detailed documentation on identified adoption blockers.
 
 
 </li>
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 Provide training sessions to relevant stakeholders on DLM capabilities.
 
 
 </li>
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 Establish baseline compliance scores and generate initial compliance assessment reports.
 
 
 </li>
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 Implement performance monitoring and adoption tracking dashboards accessible by administrators.
 
 
 </li>
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 Conduct office hours, host training sessions for relevant stakeholders, and manage feedback loops for continuous improvement.
 
 
 </li>
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 Establish baseline compliance scores, create monitoring dashboards, and review technical limitations affecting adoption
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 #AditiIndia
 
 
 
 #
 
 
 25-22344
 
 
 
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</div>

AI Product Manager 4

Costco IT

<div>
 
 
 About Costco Wholesale
 
 
 
 Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members.
 
 
 
 
 
 
 About Costco Wholesale India
 
 
 
 At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members&rsquo; experiences and make employees&rsquo; jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.
 
 
 
 
 
 
 Position Title: Product Owner 4
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Define the long-term vision and strategy for the organization&rsquo;s data and AI product portfolio: Set the direction for innovation, growth, and transformation through data-driven and AI-powered solutions.
 </li>
 <li>
 Provide technical and strategic guidance, mentorship, and career development for other product owners.
 </li>
 <li>
 Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in data, ML, and AI, and evaluate their potential for the organization.
 </li>
 <li>
 Drive innovation and the development of novel data and AI products: Lead efforts, prototype new approaches, and oversee implementation of advanced data and AI solutions.
 </li>
 <li>
 Collaborate with executive leadership on strategic decision-making: Align product initiatives with business objectives and organizational priorities.
 </li>
 <li>
 Establish and enforce product standards and best practices: Ensure quality, user-centricity, and business impact of data and AI products across the organization.
 </li>
 <li>
 Develops a Product portfolio roadmap with defined milestones along with value derivable.
 </li>
 <li>
 Develops a structured Business/Products Requirements Document (B/P RD) with clear feature level requirements.
 </li>
 <li>
 Represent the organization in external product and data communities: Speak at conferences, publish thought leadership, and build partnerships with academia and industry.
 </li>
 <li>
 Defines the sprint plan in Azure Dev Ops (ADO) based on the priority outlined within the overall product vision and roadmap to present in Product Increment (PI) Planning sessions.
 </li>
 <li>
 Supports data science technology strategy by forming a backlog of features and user stories for use by the delivery team.
 </li>
 <li>
 Articulates requirements for each user story with detailed acceptance criteria.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 12+ years of experience in Product management or Product Owner role
 </li>
 <li>
 Mastery of product management and agile methodologies: Lead vision, strategy, and execution for complex data and AI product portfolios.
 </li>
 <li>
 Deep expertise in data, ML, and AI products: Advanced understanding of data pipelines, ML model deployment, and AI feature integration at scale.
 </li>
 <li>
 Significant experience in designing and launching high-impact data and AI products: Proven track record of delivering business value through data-driven and AI-powered solutions.
 </li>
 <li>
 Strong leadership and team management skills: Build, mentor, and lead high-performing product teams.
 </li>
 <li>
 Excellent strategic thinking and problem-solving abilities: Translate business challenges into innovative, scalable product solutions.
 </li>
 <li>
 Exceptional communication and influencing skills: Advocate for product initiatives, influence executive decisions, and represent the organization externally through conferences, publications, and industry engagement
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Product strategy &amp; roadmap leadership (data/AI domain)
 </li>
 <li>
 Experience with ML/AI products, pipelines, and deployment at scale with a proven track record of delivering business value through data-driven and AI powered solutions.
 </li>
 <li>
 Agile product management &amp; cross-functional team leadership
 </li>
 <li>
 Strong stakeholder communication and executive alignment skill.
 </li>
 <li>
 Experience with GitHub, ADO, GCP.
 </li>
 </ul>
</div>

Product Owner 4 - AI/ML [T500-20228]

Microsoft

<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

Tredence Inc.

<div>
 
 
 Product Manager
 
 
 
 
 Location: Hyderabad
 
 
 
 14-18yrs
 
 
 
 
 
 
 About the Role
 
 
 
 We&rsquo;re seeking a proactive, detail-oriented
 
 Product Manager
 
 to oversee the end-user support experience and ensure seamless product delivery execution. This is a hybrid role that combines community engagement, customer empathy, and tactical product delivery.
 
 
 You&rsquo;ll act as both the connective tissue between our users and our product team, and the final link between product planning and engineering execution. This is a fantastic opportunity for someone looking to grow quickly by driving impact across multiple touchpoints.
 
 
 
 
 
 
 What You&rsquo;ll Own
 
 
 
 
 1. End-User Experience &amp; Product Support Stewardship
 
 
 
 ● Own the user experience across the Community &amp; Support channels, internal website for our AI Digital Assistant Product.
 
 
 ● Ensure all customer queries are addressed promptly, coordinating with support and other teams as needed.
 
 
 ● Keep documentation, web page content up to date, engaging and easy to navigate.
 
 
 ● Monitor customer sentiment and feedback trends; synthesize this into actionable insights. Assist in creating and deploying user surveys.
 
 
 ● Champion user needs by prioritizing their bugs and feature requests for the roadmap. Be the &lsquo;voice&rsquo; of the customer to help our team to design an experience that delights our users.
 
 
 ● Own channel communications: post updates, maintain transparency, and foster a strong sense of community and trust.
 
 
 ● Collaborate on internal and customer-facing videos, demos, or documentation.
 
 
 
 
 
 
 2. Product Delivery &amp; Sprint Execution
 
 
 
 ● Translate epics and high-level PRDs into clearly scoped Jira tickets with well-defined acceptance criteria.
 
 
 ● Ensure sprint tickets are delivery-ready and accurately reflect phased requirements.
 
 
 ● Represent product in daily standups, clarify questions, and resolve blockers with urgency.
 
 
 ● Keep engineering aligned with evolving priorities and support sprint planning and retrospectives from the product side.
 
 
 
 
 
 
 What You&rsquo;ll Bring
 
 
 
 ● Ability to bring structure and clarity to ambiguous tasks or fuzzy requirements.
 
 
 ● Analytical skills - ability to make data-driven decisions.
 
 
 ● Excellent communication skills - both verbal and written, especially in user-facing and technical contexts.
 
 
 ● Hands-on experience with
 
 Jira
 
 (ticket creation, backlog hygiene) and
 
 Slack
 
 (channel-based support, async coordination).
 
 
 ● A bias for action, strong attention to detail, and an eagerness to grow.
 
 
 ● Comfort working in fast-paced, dynamic environments with evolving processes, across time zones, and with cross-functional teams.
 
 
 ● A proactive mindset with a strong sense of ownership, a collaborative attitude, and a consistent ability to energize teams with positivity and initiative.
 
 
 
 
 
 
 Strongly Preferred
 
 
 
 ● Experience in or exposure to Generative AI products or technologies &mdash; ideally via product, operations, or customer-facing work.
 
 
 ● At a minimum, demonstrated comfort leveraging GenAI tools (e.g., ChatGPT, Claude, GitHub Copilot) to work more effectively, communicate clearly, and stay productive.
 
 
 
 
 
 
 Bonus Points For
 
 
 
 ● Exposure to Agile practices and collaboration tools like Confluence, Miro &amp; Figma..
 
 
 ● Experience in community management, customer success, or product operations roles.
 
 
 ● Comfort working across time zones and with cross-functional teams.
 
 
 
 
 
 
 Growth Path
 
 
 
 As you build mastery in your core responsibilities, you'll have opportunities to:
 
 
 ● Own internal partner relationships and integrations.
 
 
 ● Lead end-to-end delivery of scoped initiatives, with growing levels of complexity
 
 
 
 
 
 
 Why Join Us
 
 
 
 You&rsquo;ll be part of a collaborative, fast-moving team that values thoughtful execution, empathy for our users, and constant iteration. This role is ideal for someone looking to deepen their product skills while owning meaningful outcomes from day one.
 
</div>

Product Manager

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

PepsiCo

<div>
 
 
 Location: Hyderabad and Gurgaon.
 
 
 
 
 
 
 
 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 &ndash; Hands on experience and strong knowledge of building machine learning models &ndash; supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills &ndash; Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) &ndash; 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 Scientist

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:
 
 
 
 
 Senior Manager, Integrated Test Lead &ndash; Data Product Engineering &amp; Delivery
 
 
 
 
 (Sr Manager, Technology Testing)
 
 
 
 Lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. Drive quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Test Strategy &amp; Leadership:
 
 
 <ul>
 <li>
 Design and implement end-to-end testing frameworks for data pipelines, ETL / ELT processes, and analytics platforms
 </li>
 <li>
 Ensure test coverage across ETL / ELT, data transformation, lineage and consumption layers
 </li>
 <li>
 Develop integrated testing strategies spanning multiple systems, APIs, and data sources
 </li>
 <li>
 Establish testing standards, methodologies, and best practices across the organization
 </li>
 </ul>
 
 
 
 
 
 Data Engineering Testing:
 
 
 <ul>
 <li>
 Create comprehensive test suites for data ingestion, transformation, and output validation
 </li>
 <li>
 Design data quality checks, schema validation, and performance testing for large-scale datasets
 </li>
 <li>
 Implement automated testing for streaming and batch data processing workflows
 </li>
 <li>
 Validate data integrity across multiple environments and systems and against business rules
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Coordination:
 
 
 <ul>
 <li>
 Collaborate with data engineers, software developers, product managers, and DevOps teams
 </li>
 <li>
 Coordinate testing activities across multiple product streams and release cycles
 </li>
 <li>
 Manage testing dependencies and critical path items in complex delivery timelines
 </li>
 </ul>
 
 
 
 
 
 Quality Assurance &amp; Process Improvement:
 
 
 <ul>
 <li>
 Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling
 </li>
 <li>
 Lead root cause analysis for production issues and testing gaps
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership:
 
 
 <ul>
 <li>
 Mentor junior QA engineers and promote testing best practices
 </li>
 <li>
 Evaluate and implement new testing tools and technologies
 </li>
 <li>
 Design scalable testing infrastructure and CI/CD integration
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 10+ years in software testing with 3+ years in leadership roles
 </li>
 <li>
 8+ year experience testing data engineering systems, ETL pipelines, or analytics platforms
 </li>
 <li>
 Proven track record with complex, multi-system integration testing
 </li>
 <li>
 Experience in agile/scrum environments with rapid delivery cycles
 </li>
 <li>
 Strong SQL experience with major databases (Redshift, Bigquery, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP) and their data services
 </li>
 <li>
 Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
 </li>
 <li>
 Proficiency in data warehousing, data architecture, reporting and analytics applications
 </li>
 <li>
 Scripting languages (Python, Java, bash) for test automation
 </li>
 <li>
 API testing tools and methodologies
 </li>
 <li>
 CI/CD/CT tools and practices
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Experience managing multiple priorities and competing deadlines
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Sr. Manager, Technology Testing [T500-20067]

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