442 Advanced Analytics Jobs - Page 5

We are looking for a dynamic and visionary Chief Technology Officer (CTO) to lead our technology function from the ground up. This is a core leadership role where you’ll architect our end-to-end platform, and shape the future of infrastructure-tech.

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

The purpose of this role is to own the campaign management across Dentsu clients within the Addressable team. Job Description: Key Responsibilities: Understands clients brands, structure, and industry as well as project goals Develop, implement, and manage programmatic advertising campaigns across various platforms (DSPs, SSPs, Ad Exchanges) Monitor and optimize campaign performance to meet client goals and KPIs Serve as the main point of contact for clients, providing regular updates, performance reports, and strategic recommendations. Build and maintain strong relationships with clients, understanding their business objectives and aligning campaign strategies accordingly. Address client inquiries and troubleshoot issues promptly and effectively. Create and execute programmatic media strategies to drive brand awareness, engagement, and conversions. Conduct A/B testing and experiment with new tactics to improve campaign outcomes. Use advanced analytics tools to measure and analyze campaign effectiveness. Monitors investment of digital spend and ensures revenue/margin goals are met Communicate campaign progress, challenges, and opportunities to internal teams and clients. Work closely with clients and able to guide internal teams to align campaign strategies and objectives. Build strong relationships across stakeholders (externally with clients and with teams internally Training and development of team members (Junior programmatic manager) Regular contribution to the media community i.e blogs, case studies , conferences Location: DGS India - Chennai - Anna Nagar Tyche Towers Brand: Paragon Time Type: Full time Contract Type: Permanent

The purpose of this role is to own the campaign management across Dentsu clients within the Addressable team. Job Description: Key Responsibilities: Understands clients brands, structure, and industry as well as project goals Develop, implement, and manage programmatic advertising campaigns across various platforms (DSPs, SSPs, Ad Exchanges) Monitor and optimize campaign performance to meet client goals and KPIs Serve as the main point of contact for clients, providing regular updates, performance reports, and strategic recommendations. Build and maintain strong relationships with clients, understanding their business objectives and aligning campaign strategies accordingly. Address client inquiries and troubleshoot issues promptly and effectively. Create and execute programmatic media strategies to drive brand awareness, engagement, and conversions. Conduct A/B testing and experiment with new tactics to improve campaign outcomes. Use advanced analytics tools to measure and analyze campaign effectiveness. Monitors investment of digital spend and ensures revenue/margin goals are met Communicate campaign progress, challenges, and opportunities to internal teams and clients. Work closely with clients and able to guide internal teams to align campaign strategies and objectives. Build strong relationships across stakeholders (externally with clients and with teams internally Training and development of team members (Junior programmatic manager) Regular contribution to the media community i.e blogs, case studies , conferences Location: DGS India - Chennai - Anna Nagar Tyche Towers Brand: Paragon Time Type: Full time Contract Type: Permanent

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited) . We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. To ensure that all securities lending transactions are fully collateralised To ensure that limits set by risk are not breached Liaison with other teams within Investment Operations, the Front Office, brokers and Custodians, around failing repo trades and collateral shortfalls Responsible for all aspects of collateral control. Ensure satisfactory collateral reporting from tri-party agent banks Ensure accurate pricing of collateral Responsible for the settlement of cash trades Ensure receipt and disbursements of cash resulting from repo trades and reinvestment of funds Monitor all cash activity with HSBC, Money market funds and Euroclear Ensure accurate recording of all cash trade To ensure that all securities lending cash transactions are settled and accounted for We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

Tech Permanent Job Description Be part of something bigger. Decode the future. At Electrolux, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living. Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together. All about the role: We are looking for a Engineer to help driving our global MarTech strategy forward, with a particular focus on data engineering and data science to design and scale our customer data infrastructure. You will work closely with cross-functional teams - from engineering and product to data and CX teams - ensuring scalable, future-ready solutions that enhance both consumer and business outcomes. Great innovation happens when complexity is tamed, and possibilities are unleashed. That s what we firmly believe! Join our team at Electrolux, where we lead Digital Transformation efforts. We specialize in developing centralized solutions to enhance inter-system communications, integrate third-party platforms, and establish ourselves as the Master Data within Electrolux. Our focus is on delivering high-performance and scalable solutions that consistently achieve top-quality results on a global scale. Currently operating in Europe and North America, we are expanding our footprint to all regions worldwide. About the CDI Experience Organization: The Consumer Direct Interaction Experience Organization is a Digital Product Organization responsible for delivering tech solutions to our end-users and consumers across both pre-purchase and post-purchase journeys. We are organized in 15+ digital product areas, providing solutions ranging from Contact Center, E-commerce, Marketing, and Identity to AI. You will play a key role in ensuring the right sizing, right skillset, and core competency across these product areas. What you ll do: Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first party and behavioural data from digital and offline touchpoints. Partner with Data Science teams to productionize machine learning models for audience segmentation, propensity scoring, content recommendations, and predictive analytics. Collaborate with Data Engineering and Cloud teams to build out event-driven and batch data flows using technologies such as Azure Data Factory, Databricks, Delta Lake, Azure Synapse, and Kafka. Lead the integration of MarTech data with enterprise data warehouses and data lakes, ensuring consistency, accessibility, and compliance. Translate business needs into scalable data models and transformation logic that empower marketing, analytics, and CX stakeholders. Establish data governance and quality frameworks, including metadata management, lineage tracking, and privacy compliance (GDPR, CCPA). Serve as a subject matter expert in both MarTech data architecture and advanced analytics capabilities. Who are you: Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first-party and behavioral data from digital and offline touchpoints. Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first-party and behavioral data from digital and offline touchpoints. Partner with Data Science teams to productionize machine learning models for audience segmentation, propensity scoring, content recommendations, and predictive analytics. Collaborate with Data Engineering and Cloud teams to build out event-driven and batch data flows using technologies such as Azure Data Factory, Databricks, Delta Lake, Azure Synapse, and Kafka. Lead the integration of MarTech data with enterprise data warehouses and data lakes, ensuring consistency, accessibility, and compliance. Translate business needs into scalable data models and transformation logic that empower marketing, analytics, and CX stakeholders. Establish data governance and quality frameworks, including metadata management, lineage tracking, and privacy compliance (GDPR, CCPA). Serve as a subject matter expert in both MarTech data architecture and advanced analytics capabilities. Where youll be This is a full-time position, based in Bangalore, India. Benefits highlights Flexible work hours/hybrid work environment Discounts on our award-winning Electrolux products and services Family-friendly benefits Extensive learning opportunities and flexible career path.

India Payments org comprises of three product portfolios (a) Core Payments Portfolios & Affordability solutions like IBD, NCEMI & Rewards (b) First-party Payment Instruments a.k.a. Amazon Pay Products (APP) (5 of them), and (3) Everyday Use Cases (EUC) (32 of them). These businesses are significantly different from each other, involve large data exchanges and analysis. Hence the need for AI/ML products for insights and customer targeting and deepening customer engagement is fast growing. Amazon Pay India is looking for a product manager with a strong Data Science / Tech background to guide the vision and mission of the Advanced analytics team at Amazon Pay, guiding a team of highly motivated Data Scientists and analysts The leader would work closely with software developers, category, business and operations teams to get the products developed. a)own and develop further the portfolio of data science products (such as Outlier Analysis Tools, Economic profit estimation tools, Next Best Action prediction, Advanced targeting, Spend optimization, and existing data pipes to other Amazon ML teams to guide their prediction). c)Build and interpret causal models d)Own the Propensity Data Platform (PDP) built using deep neural networks, that powers automated widgets and is used for business insights. The platform also generates customer segments for marketing, impacting an estimated 10M customers on a weekly basis and improving their customer engagement. e) Write BRDs and other Amazon standard review docs to communicate vision and progress to management. About the team The Pay data team consists of 3 verticals: a) Platform team who maintain the Single Source of truth for all pay data. b) Business partnering team who work with Business stakeholders to serve their reporting and other analysis needs c) Advanced analytics team who build AI / ML products that deal with targeting, optimisation, anomaly detection, help determine causality. These model outputs can also be consumed by business leaders for gaining deeper insight. The role being publicised is for this Advanced analytics leader. - Bachelors degree - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - Experience contributing to engineering discussions around technology decisions and strategy related to a product - 7+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Masters degree - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Knowledge of Statistics

You will spend time in ensuring the products have best technical design and architecture; you would be supported by peers and team members in creating best-in-class technical solutions. Identify technical challenges proactively and provide effective solutions to overcome them, ensuring the successful implementation of features and functionality. Quickly respond to business needs and client facing teams demand for features, enhancements and bug fixes. Work with senior Ripik.AI tech and AI leaders in shaping and scaling the software products and Ripiks proprietary platform for hosting manufacturing focussed AI and ML software products Required Skills & Experience You should have 3+ years of experience, with deep expertise in Java, Golang & Python. Must have: Expert in coding for business logic, server scripts and application programming interfaces (APIs) Excellent in writing optimal SQL queries for backend databases; CRUD operations for databases from applications. Exposure to relational databases : MYSQL, Postgres DB, non-relational: MongoDB, Graph based databases, HBASE, Cloud native big data stores; willing to learn and ramp up on multiple database technologies . Must have at least 1 public cloud platform experience (GCP/Azure/AWS; GCP preferred). Good to have: Basic knowledge of Advanced Analytics / Machine learning / Artificial intelligence (has to collaborate with ML engineers to build backend of AI-enabled apps)

Job Title: Senior Machine Learning Engineer Location: Pune, India Department: Enterprise Data & Analytics Advanced Analytics Team Employment Type: Full-time About the Role: We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions. This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional teams in a dynamic global environment. Responsibilities: Design, build, test, deploy, and maintain machine learning and AI solutions across business domains. Collaborate with data scientists, engineers, and product teams to deliver reliable, production-grade ML pipelines. Develop data models, algorithms, and integrate them into enterprise-grade applications. Ensure solutions are secure, compliant, and follow industry best practices. Continuously improve ML products based on real-world performance metrics and feedback. Participate in code reviews, solution design, and incident resolution. Document technical designs and contribute to internal knowledge sharing. Lead ML engineering practices, mentor junior team members, and support agile development activities such as sprint planning and retrospectives. Qualifications: Education & Experience: Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field. 4–6 years of hands-on experience in machine learning, data science, or data engineering. Technical Skills: Strong experience with AWS services: S3, DynamoDB, CloudFormation, CDK, Route53, AppFlow. AWS certifications are a plus. Hands-on experience with Databricks : PySpark, MLFlow, Unity Catalog, orchestration workflows. Databricks certifications preferred. Proficient in Python , SQL , and DBT . Familiar with tools like GitHub/GitLab , Airflow , and Terraform . Solid understanding of enterprise data (structured, unstructured, transactional, metadata) and integrations with systems like SAP ERP, Salesforce, and product data platforms. Strong foundation in CI/CD, testing practices, and production-grade software development. Experience with infrastructure-as-code, version control, and deployment automation. Knowledge of data privacy, cybersecurity, and regulatory compliance. Serve as the technical expert for ML engineering within the team. Drive architecture and design improvements for scalability and efficiency. Lead quality assurance activities, conduct code reviews, and ensure adherence to development standards. Guide and mentor junior engineers and contribute to capability building. Take on additional responsibilities such as Scrum Master or task force lead when needed. Agile working methodology with tools such as Jira, Confluence, and draw.io. Global, multi-cultural team focused on transparency, collaboration, and continuous learning. Encouraged to be self-organized, courageous, and solutions-oriented.

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Virtual Recruitment Drive Senior Business Analyst (2 - 4 Years Experience) Immediate Joiners Preferred Preferred Candidates:- (Kindly go through the JD well ) Project Experience : 24 years of experience in strategy consulting or advanced analytics projects , with a strong business problem-solving mindset. Core Tools : Proficient in Advanced Excel , dashboarding (Power BI/Tableau), and PowerPoint for delivering client-ready insights and visualizations. Analytical Skills : Ability to work with complex data, identify trends, and translate findings into clear, actionable business recommendations. Technical Skills (Good to Have) : Exposure to SQL and Python for data manipulation and advanced analytics. Domain Exposure (Preferred) : Experience in Retail , FMCG , or CPG sectors is an added advantage. Communication & Collaboration : Strong communication skills with the ability to work cross-functionally and present to senior stakeholders.

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques

Role AI Architect Client Trianz D&AI Practice Employment Type Employee Work location India ? Hyderabad or Bangalore Work mode Trianz Office - Hybrid Trianz Grade 6 / 10 ? 15 years / Solutions Architect About Trianz Standard Job Summary The Advanced Analytics and AI Offering Lead is responsible for the definition, development, and go-to-market strategy of cutting-edge analytics and AI solutions for our D&AI practice. You will be an industry expert and develop market-leading, disruptive AI solutions that provide real value and transformation to our customers. You will develop and maintain key partnerships with relevant vendors and technologies that ensure best-in-class solution offerings. You will collaborate with other cross-functional teams to ensure their offerings meet the high demands of your solutions. Job Responsibilities Offering Definition & Delivery: Own the D&AI Practice Language Model & Gen AI + Composite AI & ML Ops offerings, ensuring that they are fully defined and meet industry best standards. Meet Practice revenue objectives. Innovation & Demonstration: Proactively identify disruptive, value-driven use cases and apply them throughout the customer?s journey with Trianz. Lead our AI & Innovation team?s activities to develop PoVs and PoCs that demonstrate value and drive revenue. Solution Design & Delivery: Design and deliver industry-best, responsible AI solutions. Organization-wide collaboration to ensure AI is at the forefront of thinking. Enablement and mentorship of AI-related project delivery. Salesforce Enablement: Ensure that our salesforce competently partners with clients to help advance their AI analytic strategy. Vision & Strategy: Ensure the D&AI Practice?s AI vision, strategy and point-of-view aligns with industry-leading AI best practice technologies, patterns and philosophies. Client Engagement: Regular collaboration and partnership with clients to understand their challenges and needs and respond with responsible AI solutions that transform and drive value. Lead and support proposal development. Leadership: Serve as company-wide AI and Advanced Analytics expert and advise on AI-related initiatives as needed. Manage and mentor Practice AI resources, ensuring quality delivery. Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality. Mandatory Qualifications At least 10+ years of experience in advanced analytics, AI, or data science roles, with a proven track record of leading and delivering large-scale AI/ML solutions. 5+ years of leadership experience, managing cross-functional teams, mentoring data scientists, and overseeing project delivery. 5+ years of Experience with driving strategy and executing data-driven solutions within large organizations. Strong understanding and hands-on experience with AI/ML algorithms, deep learning, MLOps and data analytic technology and techniques. Proficiency in programming languages like Python, R, or Scala, and experience with ML frameworks such as TensorFlow, PyTorch, Keras. Competency in delivering AI-solutions to cloud platforms like AWS, Azure, or GCP using native and 3rd party services and technologies. Knowledge of Big Data technologies (e.g., Hadoop, Spark, Kafka) and data processing tools. Familiarity with various industry domains such as retail, healthcare, financial services, manufacturing, or other sectors where AI and analytics solutions are prevalent. Demonstrated AI marketplace knowledge and applicability. Collaboration and management experience with technology partners (e.g., AWS, Azure, Google Cloud) to develop joint solutions. Practical understanding and experience related to data governance, privacy laws (e.g., GDPR, CCPA), and ethical AI practices. Experience ensuring regulatory compliance and implementing governance frameworks in AI & analytic solutions. Demonstrated, adept communication skills, matching with needs from C-level and technical stakeholders alike. Excellent people and self-management skills demonstrating ability to multitask goals and activities. Additional / Nice-to-have Qualifications Cloud platform (AWS preferred) and relevant AI-related certifications. Required Education Master?s/Bachelor?s degree (or higher) in a relevant field such as Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline. Why Join Us? please share and review with Ben K before publishing Travel Requirement (%) Periodic / infrequent travel as required for In-person client meetings Company culture / focus events Training and/or alliance needs Initial Screening Questions Initial Rejection Screening Questions Does candidate does meet mandatory AI and ML experience requirements? If no, reject Does candidate communicate clearly in English? If no, reject Prioritization Questions (Candidates with highest points should receive highest ranking in progressing)

Lead technology solution design and delivery Create and maintain optimal data solutions architecture and AI models Works with business partners to document complex company-wide acceptance test plans. Work concurrently on several projects, each with specific instructions that may differ from Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvementsautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with business-critical data insights, technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and cloud regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Troubleshoot production support issues post release deployment and come up with solutions Explain, Socialize and Vet designs internal and external stakeholders Undergraduate degree or equivalent experience. Undergraduate Degree in Engineering or equivalent Over 7 years of experience in Data Engineering and Advanced Analytics Strong experience in build Generative AI based solutions for data management (data pipelines, data standardization, data quality) and data analytics. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience in Cloud technologies and SNOWFLAKE Experience in Kafka development Experience in Python/Java programing Experience in creating business data models Experience in Report development and dashboarding Strong Experience in driving Customer Experience Experience in working with agile teams Experience in Healthcare Clinical Domains Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. A successful history of manipulating, processing and extracting value from large, disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM Diversity creates a healthier atmosphereUnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Key Responsibilities Develop and implement a comprehensive analytics strategy aligned with organizational objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to uncover strategic insights and process optimization opportunities. Design, build, and maintain data models, dashboards, reporting systems, and performance metrics to support key business decisions. Drive critical business processes such as demand forecasting and the Sales & Operations Planning (S&OP) process. Generate actionable sales recommendations for the trade sales team. Optimize business processes like supply chain networks and inventory management through predictive and prescriptive data modeling. Oversee the delivery of analytical reports and performance insights across functions. Manage and streamline processes related to data intake, validation, mining, engineering, visualization, and reporting. Anticipate and plan for future analytical needs related to people, technology, budgeting, and business objectives. Apply advanced analytics techniques to enhance commercial routines and decision-making. Lead data insight initiatives and ensure effective stakeholder collaboration. Clearly communicate the impact of analytics-driven insights across internal and external teams. Perform critical analysis and deliver actionable business recommendations. Educational Qualifications B.E./B.Tech/M.Tech in Computer Science, Statistics, Data Management, or Business Intelligence OR MBA/PGDM in Data Science, Business Analytics, Business Intelligence, Sales, or Marketing Work Experience Minimum 4+ years of experience in data analytics, including monitoring, managing, manipulating, and drawing insights from complex datasets. Proven track record working with data visualization tools such as Power BI, Tableau, Raw, or chart.js. Preferred/Additional Requirements Strong understanding of data mining principles, predictive analytics, and integrating data from multiple sources (on-premises and cloud-based). Experience with analytical and statistical techniques including hypothesis development, A/B testing, data analysis, and drawing conclusions. Ability to generate actionable insights and recommendations for business units. Team Structure Will work closely with multiple vendor teams . Key Interfaces Internal: Supply Chain, Sales, and Finance Teams External: Analytics vendors Functional Competencies Strong problem-solving and quantitative analysis skills Ability to manage multiple projects, processes, and cross-functional teams simultaneously Excellent collaboration, communication, and stakeholder management skills Behavioral Competencies Critical Thinking: Ability to evaluate complex issues, make informed decisions, and deliver innovative solutions Professionalism: Demonstrates integrity, accountability, strong work ethic, and ethical behavior

JOB SUMMARY This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. RESPONSIBILITIES Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. QUALIFICATIONS Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Catchpoint Professional Services organization is one that works with some of Catchpoint s largest customers to help them improve and maintain their web and mobile performance with expert advice and recommendations. The Scripting Specialist will serve as the backbone for setting up monitors in customer environments. They will focus on maintaining the effectiveness of scripting strategies and will have opportunities to engage directly with customers at a core level. What will success look like in this position? The scripting specialist will collaborate closely with customers to develop monitors tailored to their infrastructure needs. This role involves a continuous learning curve throughout ones career. We have examples of individuals who began in scripting roles and have since transitioned into product management. Responsibilities Proactively work with clients, providing expert analysis and insights Creating test scenarios for clients using playwright based front end scripting Work as an extension of your clients team, assisting in ad hoc analysis or testing Contribute actively to knowledge base, blog, and other product-related documentation Ability and means to travel as needed. Research, analyze, and resolve customer issues and questions Collaborate with engineering in identifying product defects, designing solutions, and testing. Required Skills & Qualifications Experience in automation testing (QA) using Playwright Experience in front end development/testing using JavaScript Experience in using REST and SOAP APIs Excellent conceptualization and communication skills. Great listening skills and customer focused Ability to work independently and as a team member Good problem-solving capabilities Overview #LI-REMOTE

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Responsibilities Facilitate the implementation and support for SAP MM modules including basic to detailed functions of data Hands on Powerapp development skills In collaboration with subject matter experts and data stewards, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable. Conducts data cleaning to rid the system of old, unused data, or duplicate data for better management and quicker access. Take ownership for global data management, governance, and data quality of master data requirements with other functional data owners to ensure functional master data integrity across the operation of financial systems is consistent and meets stated business rules and requirements. Map business requirements, processes and objectives; develops necessary product modifications to satisfy business needs. Identify gaps, issues and work around solutions. Connect with internal stake holders for troubleshooting: investigate, analyze, and solve business problems. Requirements Minimum of 2 to 4 years of experience on maintaining master data in SAP MM module. Bachelors degree in core engineering subjects or equivalent combination of education. Must be able to work globally and communicate effectively with stakeholders. Flexible to work in rotational shift. Thirst for knowledge and eagerness to learn Business and grow skills in new areas.

About Job: We are hiring a talented Systrack Deployment professional to join our team. If you re excited to be part of a winning team, Zensar is a great place to grow your career. You will be glad you made the right choice to join us. 4-7 yrs. In implementing Systrack and similarUser experience & Automation platforms (Nexthink, Atternity) Plan, Design & implement Systrack platform for Automation use cases and User experience monitoring Rollout Systrack on user devices and be able to monitor the device performance and explain the dashboards, User experience measurements to customer on a regular basis Integrate ITSM platform with Systrack Work with Customer s team to ensure prerequisites access are available before the implementation Work with Security teams to solve all the clarifications of the Systrack platform for getting approval on the implementation of the platform Analyze and understand customer s environment for scope of automation Analyze new use cases and Implement new automation in Systrack Should be an expert in PowerShell Review and edit requirements, specifications, and processes related to the monitoring of devices Translate large & complex data into effective automation requirements Create new dashboards in Systrack and modify the parameters About Job: We are hiring a talented Systrack Deployment professional to join our team. If you re excited to be part of a winning team, Zensar is a great place to grow your career. You will be glad you made the right choice to join us. 4-7 yrs. In implementing Systrack and similarUser experience & Automation platforms (Nexthink, Atternity) Plan, Design & implement Systrack platform for Automation use cases and User experience monitoring Rollout Systrack on user devices and be able to monitor the device performance and explain the dashboards, User experience measurements to customer on a regular basis Integrate ITSM platform with Systrack Work with Customer s team to ensure prerequisites access are available before the implementation Work with Security teams to solve all the clarifications of the Systrack platform for getting approval on the implementation of the platform Analyze and understand customer s environment for scope of automation Analyze new use cases and Implement new automation in Systrack Should be an expert in PowerShell Review and edit requirements, specifications, and processes related to the monitoring of devices Translate large & complex data into effective automation requirements Create new dashboards in Systrack and modify the parameters

Summary -Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience. About the role : Provide analytics support to Novartis internal customers (CPOs Regional marketing and sales teams) on various projects. Support and facilitate data enabled decision making internal customers using data analysis and data science techniques/methods on internal and external(3rd party) data to solve business problems Team NBS CONEXTS-ICS business support in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business related tasks/activities, building process documentation and knowledge repositories Your responsibilities include but are not limited to Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Resource Allocation and Optimization Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer satisfaction. Deliver advanced analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (value) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions Support exploratory research to identify new areas of application of advanced analytics/data science in providing improved decision-making support. Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services. Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function. Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc Support team leaders in recruitment and on-boarding of new associates within the organization. Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function. Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements. What you'll bring to the role: Deriving impactful strategies by defining clear category objectives, working with analytical data, business partners and market expertise. Aligning strategies to measurable target and clearly conveying them to the organization. Should have strong quantitative and systems background. Strong analytical thinking with problem solving approach and good ability to understand new data sources in short timeframe and embed them into standard analyses. Good understanding of pharmaceutical domain and data would be ideal. Strong partner leadership skills and ability to work with multiple partners. Should have worked in an international/Global company with exposure to working in cross-cultural environment. Strong and proactive business results-focus, and proven track record to provide insights that increase efficiency. Hands on to Classification (CART, RF, SVM, GBM, etc) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting o Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization Hands on to Project Management, Solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access), Learning agility, Pharmaceutical industry domain/datasets knowledge - desirable Desirable Requirements: University/Advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, is preferable. Min 5+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry is preferable. Statistical Modeling/Machine Learning techniques like Regression (esp, GLM, non-linear, etc). experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus. Visualization tools - Qlikview, Qliksense, Tableau.

This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions. As a Manager of Software Engineering at JPMorgan Chase within the AI/ML Data Platform team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team s work adheres to compliance standards, business requirements, and tactical best practices. Job responsibilities Oversee and guide a team of software engineers dedicated to developing tools for observability, data pipelines, financial operations, and orchestration. Collaborate with customers, product managers, and Site Reliability Engineering (SRE) teams to create systems and synchronize observability goals throughout the organization. Offer architectural guidance and set standards for observability implementations, emphasizing cost efficiency and compliance. Work with cross-functional teams to enhance business impact and ensure customer satisfaction through outstanding software delivery. Assess and adopt modern data storage solutions, such as data warehouses and data lakes, to facilitate advanced analytics and dashboard capabilities. Implement best practices for data transformation, real-time processing, and modern data storage solutions to support advanced analytics. Review and integrate new observability tools and technologies, keeping abreast of industry best practices. Required qualifications, capabilities, and skills Formal training or certification on Software engineering concepts and 5+ years applied experience Experience in managing people and leading technical teams. Hands-on experience in backend development using languages such as Python, Java, Node.js, or Golang. Experience working as an Infrastructure or Platform Software Engineer in a fast-paced technology company or startup. Proficiency in cloud-native observability tools, including OpenTelemetry, Grafana, Prometheus, CloudWatch, Datadog, and related agents and collectors. Experience in designing and architecting large-scale distributed systems and cloud-native architecture on AWS. Excellent communication skills with the ability to convey and present business and technical concepts to stakeholders. Preferred qualifications, capabilities, and skills Familiarity working in AI, ML, or Data engineering. Familiar with developing Automation frameworks/AI Ops

The Consultant, Core Cyber Operations - Security Analytics Automation job enhances our security operations by leveraging advanced analytics, Security Orchestration, Automation, and Response (SOAR) capabilities, and automation tools. The ideal candidate will have a background in cybersecurity, automation, or data analytics, and will help develop and implement solutions that improve our threat detection and response capabilities. With limited supervision, this job supports the following functions: Key Accountabilities SECURITY ANALYTICS: Utilize advanced data analytics techniques to identify and mitigate security threats. Develop and maintain security metrics and dashboards to provide insights into security posture and incident trends. SOAR IMPLEMENTATION: Design, implement, and manage SOAR solutions to automate incident response processes. Integrate SOAR platforms with existing security tools and workflows to enhance efficiency and effectiveness. SOC ALARM OVERSIGHT: Develop, test, and maintain Security Operations Center (SOC) alarms to ensure accurate and timely detection of security incidents. Regularly review and update alarm configurations to adapt to evolving threats and improve detection capabilities. Collaborate with SOC analysts to validate alarm effectiveness and minimize false positives. AUTOMATION: Develop and deploy automation scripts and tools to streamline security operations. Collaborate with cross-functional operations teams to identify opportunities for automation and improve overall security posture. Qualifications ESSENTIAL FUNCTIONS CYBER SERVICES VISIBILITY: Designs and operates to assure situational visibility for all cyber services, including foundational cyber analytics and automation. MINIMUM TYPICAL YEARS OF WORK EXPERIENCE Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience. Understanding of cybersecurity principles, threat detection, and incident response. Experience in security analytics, SOAR, and/or automation. Proficiency in scripting languages such as Python, PowerShell, or Bash.

Job_Description":" Pando \u202fis a global leader in supply chain technology, building the worlds quickest time-to-value Fulfillment Cloud platform. Pando\u2019s Fulfillment Cloud provides manufacturers, retailers, and 3PLs with a single pane of glass to streamline end-to-end purchase order fulfillment and customer order fulfillment to improve service levels, reduce carbon footprint, and bring down costs. As a partner of choice for Fortune 500 enterprises globally, with a presence across APAC, the Middle East, and the US, Pando is recognized as a \u202fTechnology Pioneer by the World Economic Forum (WEF) , and as\u202f one of the fastest growing technology companies by Deloitte .\u202f Role As the Senior Lead for AI and Data Warehouse at Pando, you will be responsible for building and scaling the data and AI services team. You will drive the design and implementation of highly scalable, modular, and reusable data pipelines, leveraging big data technologies and low-code implementations. This is a senior leadership position where you will work closely with cross-functional teams to deliver solutions that power advanced analytics, dashboards, and AI-based insights. Key Responsibilities Lead the development of scalable, high-performance data pipelines using PySpark or Big Data ETL pipeline technologies. Drive data modeling efforts for analytics, dashboards, and knowledge graphs. Oversee the implementation of parquet-based data lakes. Work on OLAP databases, ensuring optimal data structure for reporting and querying. Architect and optimize large-scale enterprise big data implementations with a focus on modular and reusable low-code libraries. Collaborate with stakeholders to design and deliver AI and DWH solutions that align with business needs. Mentor and lead a team of engineers, building out the data and AI services organization. Requirements -8-10 years of experience in big data and AI technologies, with expertise in PySpark or similar Big Data ETL pipeline technologies. -Strong proficiency in SQL and OLAP database technologies. -Firsthand experience with data modeling for analytics, dashboards, and knowledge graphs. -Proven experience with parquet-based data lake implementations. -Expertise in building highly scalable, high-volume data pipelines. -Experience with modular, reusable, low-code-based implementations. -Involvement in large-scale enterprise big data implementations. -Initiative-taker with strong motivation and the ability to lead a growing team. Preferred -Experience leading a team or building out a new department. -Experience with cloud-based data platforms and AI services. -Familiarity with supply chain technology or fulfilment platforms is a plus. -Join us at Pando and lead the transformation of our AI and data services, delivering innovative solutions for global enterprises! ","Job_Type":"Full time" , "Job_Opening_Name":"Technical Lead - AI & Data Warehouse","State":"Tamil Nadu" , "Country":"India" , "Zip_Code":"600017" , "id":"727224000012573268" , "Publish":true , "Date_Opened":"2025-05-08" , "