13 Data Products Jobs

Join us as a Data and Records Governance Execution Lead at Barclays. As a Data and Records Governance Execution Lead, you will be responsible for leading, planning, and remediating high-focus regulatory findings associated with data governance. Your role will involve working on best-in-class data governance and reporting functions, evolving data lineage tooling, data quality tooling, and operating models to ensure sustainable creation and maintenance of data lineage and data controls. Additionally, you will collaborate with global business and technology teams to enable data governance in business value streams. If you are an experienced data practitioner with a passion for discovering new data findings and driving change, this role is perfect for you. To be successful in this role, you should have experience in data and record governance, data controls, data lineage, and associated methodologies. You should also possess experience in data products, cloud services, data warehouses, as well as business domain (Retail or Banking) and regulatory reporting. Working knowledge in a regulated environment and a solid understanding of data and control risk management are essential for this role. Additional relevant skills required include an understanding of different technologies related to data control, the ability to proactively drive change, exceptional stakeholder management skills, proficiency in data analytics and insight generation, and experience working in multiple large teams delivering complex services with high standards of resilience, risk, and governance controls. Your responsibilities will include partnering with the local business unit to ensure successful implementation of data and records governance frameworks, providing guidance and support on records management, monitoring data quality metrics, identifying areas for improvement, and supporting data priorities within the business unit. As a Vice President, you are expected to contribute to setting strategy, driving requirements, making recommendations for change, planning resources, budgets, and policies, managing and maintaining policies/processes, delivering continuous improvements, and escalating breaches of policies/procedures. If the position involves leadership responsibilities, you are expected to demonstrate a clear set of leadership behaviors and create an environment for colleagues to thrive and deliver excellent results. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

Join us as a Data Governance Analyst at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality, and governance standards. Spearheading the evolution of the digital landscape, you will drive innovation and excellence, leveraging cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences. To be successful as a Data Governance Analyst, you should have experience with data and record governance, data controls, data lineage, and associated methodologies. Additionally, experience in data products, cloud, data warehouses, business domain (Retail or Banking), and regulatory reporting is required. Working in a regulated environment and possessing a solid understanding of data and control risk management are essential. Other highly valued skills may include understanding different technologies related to data control, proactively driving change, exceptional stakeholder management skills to maintain collaborative working relationships with key senior stakeholders, experience in working in multiple large teams delivering complex services involving high standards of resilience, risk, and governance controls, and proficiency in data analytics and insight generation for deriving actionable insights from data. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. This role is based out of Chennai. Purpose of the role: To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. Accountabilities: - Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. - Monitoring data quality and records metrics and compliance with standards across the organization. - Identification and addressing of data and records management risks and gaps. - Development and implementation of a records management program ensuring proper identification, classification, storage, retention, retrieval, and disposal of records. - Development and implementation of a data governance strategy aligning with the bank's overall data management strategy and business objectives. - Provision of Group-wide guidance and training on Data and Records Management standard requirements. As an Assistant Vice President, you are expected to advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions, lead a team performing complex tasks, set objectives, coach employees, and demonstrate leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier, and more comfortable but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klber Lubrication, a company of the Freudenberg Group, is the global leader in specialty lubrication with manufacturing operations in North and South America, Europe, and Asia, subsidiaries in more than 30 different countries, and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success. Health Insurance: Rely on comprehensive services whenever you need it. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Safe Environment: We strive to ensure safety remains a top priority and provide a stable environment for our employees. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Bangalore On-Site Klber Lubrication India Pvt. Ltd. You support our team as Statistical Analytics Engineer (F/M/D) Responsibilities Performs projects in statistics, data science, and artificial intelligence in the technical field of KL under the guidance of experts, evaluates, and comments on results. Implements data processes and data products into operations and works on their operation and optimization. Coordinates regularly with experts in statistics, data science, and artificial intelligence at KL. Maintains a balance between effort (time, cost) and expected benefit of incoming requests. Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed. Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations. Works on cross-functional project teams and projects with external partners. Keeps own expertise up to date (self-study, external training, meetings, specialist groups). Supports technical colleagues in the introduction, use, and quality assurance of data analysis tools. Presents contributions to statistics and data science in the context of Klber internal and customer training. Qualifications Engineering Graduate /Masters in Chemistry, Physics, or equivalent degree. Overall 7-10 years of experience in data modeling, analysis, and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics, or related discipline. Strong experience in methods for processing, evaluating, and modeling data. In-depth programming knowledge with a focus on data science and data engineering, preferably in Python. Experience using cheminformatics, materials informatics, generative AI, and machine learning. Experience in developing interactive data applications with frameworks like Shiny, Dash, or streamlit. Good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry.,

The Data Engineering Technology Lead position is a senior role responsible for establishing and implementing new or revised data platform ecosystems and programs in coordination with the Technology team. Your primary objective is to lead the data engineering team in implementing business requirements. Your responsibilities will include designing, building, and maintaining batch or real-time data pipelines in the data platform, as well as optimizing the data infrastructure for accurate extraction, transformation, and loading of data from various sources. You will develop ETL processes to extract and manipulate data, automate data workflows, and prepare data in Data Warehouses for stakeholders. Collaboration with data scientists and functional leaders to deploy machine learning models and building data products for analytics teams will be essential. Ensuring data accuracy, integrity, privacy, security, and compliance through quality control procedures, monitoring data system performance, and implementing optimization strategies are also part of your role. You will partner with management teams to integrate functions, identify necessary system enhancements, and resolve high impact problems. In addition, you will provide expertise in applications programming, ensure application design aligns with architecture, and develop knowledge of integrating business areas to accomplish goals. Qualifications for this position include 12+ years of experience in a data engineering role, problem-solving skills, leadership abilities, service orientation, and the ability to work in a fast-paced environment. Proficiency in technical tools, interpersonal skills, and a Bachelor's/University degree (Master's preferred) are also required. The position encompasses two key responsibilities: 1. Data Engineering: - Building Data Pipelines: Creating systems for collecting, storing, and transforming data from various sources. - Data Collection and Management: Gathering data, ensuring quality, and making it accessible for analysis. - Data Transformation: Converting raw data into usable formats using ETL processes for analysis and reporting. 2. Data Governance and Compliance: - Documentation Data Lineage: Documenting data requirements for data governance within Citi Information Security Office. - Data Models and Flow Diagrams: Implementing data flow diagrams to understand data movement and conducting gap analysis for remediation. - Data Models Understanding: Translating business needs into logical and physical data models to ensure data integrity and consistency. - Data Analysis and Profiling: Analyzing data sources, identifying data issues, and ensuring data quality. This role falls under the Technology job family group and Applications Support job family, and it is a full-time position at Citi. If you need accommodations due to disability, refer to the Accessibility at Citi policy. Review Citis EEO Policy Statement and the Know Your Rights poster for further information.,

You should have experience working with BigID or Collibra, along with knowledge of data classification and data products. It is important to have an understanding of data loss and personal information security. Exposure to platforms such as Snowflake, S3, Redshift, SharePoint, and Box is required. You should also have knowledge of connecting to various source systems. A deep understanding and practical knowledge of IDEs like Eclipse, PyCharm, or any Workflow Designer is essential. Experience with one or more of the following languages - Java, JavaScript, Groovy, Python is preferred. Hands-on experience with CI/CD processes and tooling such as GitHub is necessary. Working experience in DevOps teams based on Kubernetes tools is also expected. Proficiency in database concepts and a basic understanding of data classification, lineage, and storage would be advantageous. Excellent written and spoken English, interpersonal skills, and a collaborative approach to delivery are essential. Desirable Skills And Experience: - A total of 8 to 12 years of overall IT experience - Technical Degree to support your experience - Deep technical expertise - Demonstrated understanding of the required technology and problem-solving skills - Analytical, focused, and capable of working independently with minimal supervision - Good collaborator management and team player - Exposure to platforms like Talend Data Catalog, BigID, or Snowflake is beneficial - Basic knowledge of AWS is a plus - Knowledge and experience with integration technologies such as Mulesoft and SnapLogic - Proficiency in Jira, including the ability to quickly generate JQL queries and save them for reference - Proficient in creating documentation in Confluence - Experience with Agile practices, preferably having been part of an Agile team for several years,

Were Hiring: Business Development Rockstar Wanted! Role : BDR (Fintech & Data Products) Type : Full-Time | Hybrid | Chennai Experience : 4 to 6 Years Industry : SaaS | AI | FinTech | Data Solutions Hey #BDR #SalesWarriors Are you someone who thrives on closing high-value international deals ? Can you confidently pitch AI-powered SaaS products to C-level executives across the globe? Then it’s time we talked. At OptiSol , we don’t just sell software — we’re powering the future of finance and data with #GenAI . Our flagship product suite, elsAi , is already making waves across data providers, credit bureaus, and financial institutions in the US, UK, and beyond. If you’ve got: 4–6 yrs of international B2B sales experience (SaaS/Data/FinTech) Experience in selling to banks, fintech, or data providers Hands-on with LinkedIn Sales Navigator, ZoomInfo, CRMs A track record of closing 300K+ USD annually Confidence to pitch to global decision-makers Readiness to work with multiple time zones Then this is your chance to join a high-growth, innovation-first team and be part of the next big thing in AI-led data transformation . What’s in it for you? Global exposure to EMEA/US/APAC markets Direct ownership of your pipeline High-impact sales conversations with CXOs Culture of performance, growth & flexibility Work with a team that believes in "selection, not rejection" Learn more about what we do: https://www.optisolbusiness.com/elsai-for-data-providers Ready to make your next move? Let’s revolutionize the future of FinTech, together.

Role Overview As a Associate Data Product Manager, you will play a pivotal role in shaping the future of data at Aakash. You will be responsible for the strategy, roadmap, and execution of data products that empower teams across the organization to make smarter, data-driven decisions. This is a hands-on role where you will bridge the gap between our business needs and our technical data infrastructure, ensuring that our data is treated as a core strategic asset. You will be instrumental in executing key strategic projects, such as building our Customer Data Platform (CDP) from the ground up or leading the transformation of our AWS Data Lake into a modern, well-governed data mesh. Key Responsibilities Product Strategy & Roadmap: Develop and own the product roadmap for our core data platforms and products. Define the vision and strategy for how data can solve business problems and unlock new opportunities. Stakeholder Collaboration: Work closely with business stakeholders (Marketing, Sales, Academics, Operations) to understand their data needs, gather requirements, and define key metrics. Execution & Delivery: Collaborate with data engineers, analysts, and architects to translate requirements into technical specifications and user stories. Prioritize the backlog and manage the entire product lifecycle from ideation to launch and iteration. Strategic Initiatives: Lead high-impact projects, such as building a unified Customer Data Platform (CDP) or evolving our AWS Data Lake into a well-governed and easily accessible data mesh. Data Evangelism: Champion the adoption of data products across the organization. Develop documentation, and training materials, and communicate the value of new features and capabilities. Define Success: Define and analyze metrics that measure the success, adoption, and business impact of our data products. Qualifications & Skills Must-Have: Experience:1-3 years of overall professional experience in a data-centric role such as Data Analyst, Product Analyst, or Business Analyst. Relevant internships will be strongly considered. SQL Proficiency: Foundational knowledge of SQL for data querying and analysis. Data Environment Experience: Hands-on experience working within a Data Lake or Data Warehousing environment. Product Mindset: A strong ability to understand user needs, break down complex problems, and prioritize features effectively. Excellent Communication: The ability to clearly articulate complex concepts to both technical and non-technical audiences. Good-to-Have: Cloud Experience: Familiarity with cloud data services, particularly in AWS (e.g., S3, Glue, Redshift, Athena). Modern Data Stack Knowledge: Understanding of Data Lakehouse concepts and architecture. Data Governance: Knowledge of data governance principles, data quality, and data cataloging tools. Educational Sector Experience: A passion for or previous experience in the EdTech industry. AI/ML and GenAI: High Level understanding to be able to work with Data Scientists.

You are an experienced professional who thrives on designing new technologies, diving into data, and optimizing digital experiences. You are dedicated to building technology with a purpose that matters and seek to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role as an Associate Director, Consumer Experience, you will play a crucial part in delivering better care for billions of people worldwide. Your contribution starts with YOU. Your responsibilities include: - Demonstrating a deep understanding and significant experience with Sitecore (or a similar CMS) platform - Collaborating with global and segment marketing teams to produce brand websites, D2C platforms, and CEPs - Operating in the product model using Agile methodology and organized in scrum teams with a DevSecOps scope - Developing a performance framework based on metrics and KPIs to measure product success over time - Collaborating with key stakeholders to execute product initiatives throughout the product development lifecycles - Identifying and prioritizing new features and optimizations based on business objectives and metrics - Translating company performance and priorities into product roadmap decisions - Working closely with related disciplines, subject matter experts, and other product teams to secure necessary resources and functionalities - Managing cross-functional projects for roadmaps and partnering with internal teams and third-party vendors to improve user experience, troubleshoot issues, and anticipate key pain points - Providing regular updates to management on operational status and project timelines - Leading a team to achieve desired results and outcomes by removing barriers to success, building commitment, and motivating team members About the Company: Join Kimberly-Clark, a company renowned for its legendary brands like Huggies, Kleenex, and Cottonelle. At Kimberly-Clark, you'll be part of a team committed to driving innovation, growth, and impact. With over 150 years of market leadership, Kimberly-Clark is dedicated to exploring new and better ways to perform, providing you with endless opportunities for growth and development. About You: If you excel in a performance culture and value sustainability, inclusion, wellbeing, and career development, you are a perfect fit for this role. You are passionate about making a difference through your work and constantly seek new ways to achieve results. Qualifications: - 10+ years of relevant experience in information technology, leading large global teams - 8+ years of experience in digital marketing technologies, specifically web site production and operations - Experience with Agile methodology, DevSecOps scope, and related systems integration - Ability to think strategically, analytically, and use data to support decisions - Strong technical leadership experience and project management skills - Fluent in English, both verbally and in writing - Experience with product development, feature prioritization, and go-to-market strategy - Outstanding organizational, communication, and relationship-building skills To Be Considered: Click the Apply button and complete the online application process to be considered for this role. Our recruiting team will review your application and reach out if you meet the qualifications for the position. Visit the careers website for more information. Please note that the statements provided are intended to describe the general nature of work performed by employees in this role and are not exhaustive. Employment is subject to verification of pre-screening tests, including drug screening, background check, and DMV check.,

As the Director/Head of Data Engineering for India, you will be responsible for developing and maintaining the data strategy for Singapore implementation. Your primary goal will be to create a model implementation that can be replicated across wider PBWM Organisation for compliance in other jurisdictions. You will define and execute the data engineering strategy in alignment with business goals and technology roadmaps. Collaborating with the Chief Data Officer/Chief Operating Officer, you will understand the Critical Data Elements (CDE) and establish controls around them. Your role will involve designing data models, efficient data pipelines, ensuring data quality and integrity, collaborating with data science and analytics teams, and scaling data solutions. Additionally, you will oversee data security and compliance, continuously learn and implement the latest technologies, manage and train the data engineering team, and implement cloud migration for data with appropriate hydrations. Budgeting, resource allocation, implementing data products, ensuring data reconciliation, and upholding high standards and quality in data are also key aspects of this role. In this strategic and senior leadership position, you will oversee data strategy, data engineering, data infrastructure, and data management practices within Private Banking and Wealth Management. Your responsibilities will include managing and developing the data team, delivering outstanding customer-focused service, ensuring quality and quantity are equally prioritized, adhering to policies and procedures, and advocating Barclays values and principles. You will lead effective data management, compliance, and analytics to support business goals, enhance customer experiences, and improve operational efficiencies. Recruiting, training, and developing the data engineering team, fostering collaboration and innovation, providing strategic guidance, and defining KPIs aligned with PBWM goals will be part of your duties. Collaborating with executive leadership, you will ensure data initiatives support the bank's growth, profitability, and risk management. You will oversee budgeting for data-related initiatives, allocate resources efficiently, and track performance indicators for the data engineering team and infrastructure to drive continuous improvement. The purpose of your role is to build and maintain systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security. Your accountabilities will include building and maintaining data architectures pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to deploy machine learning models. As a Director, you are expected to manage a business function, contribute to strategic initiatives, provide expert advice, manage resourcing and budgeting, ensure compliance, and monitor external environments. Demonstrating leadership behaviours such as listening, inspiring, aligning, and developing others, along with upholding Barclays Values and Mindset, will be key to excelling in this role.,

A leading player in cloud-based enterprise solutions is expanding its analytics leadership team in Bangalore. This pivotal role calls for a seasoned professional to drive the evolution of data products and analytics capabilities across international markets. The ideal candidate will possess the strategic vision, technical expertise, and stakeholder savvy to lead in a fast-paced, innovation-driven environment. Key Responsibilities Lead and mentor a dynamic team of product managers to scale enterprise-grade data lake and analytics platforms Drive program execution and delivery with a focus on performance, prioritization, and business alignment Define and execute the roadmap for an analytical data platform, ensuring alignment with strategic and user-centric goals Collaborate cross-functionally with engineering, design, and commercial teams to launch impactful BI solutions Translate complex business needs into scalable data models and actionable product requirement documents for multi-tenant SaaS products Champion AI-enabled analytics experiences to deliver smart, context-aware data workflows Maintain high standards in performance, usability, trust, and documentation of data products Ensure seamless execution of global data strategies through on-the-ground leadership in India Promote agile methodologies, metadata governance, and product-led thinking across teams Ideal Candidate Profile 10+ years in product leadership roles focused on data products, BI, or analytics in SaaS environments Deep understanding of modern data architectures, including dimensional modeling and cloud-native analytics tools Proven expertise in building multi-tenant data platforms serving external customer use cases Skilled in simplifying complex inputs into clear, scalable requirements and deliverables Familiarity with platforms like Deltalake, dbt, ThoughtSpot, and similar tools Strong communicator with demonstrated stakeholder management and team leadership capabilities Experience launching customer-facing analytics products is a definite plus A passion for intuitive, scalable, and intelligent user experiences powered by data

Product Manager Big Data - 5+ years- Gurgaon We are looking for a dynamic and strategic Product Manager with expertise in Big Data , data integration , and end-to-end product development . The ideal candidate will be responsible for defining, building, and enhancing scalable data products and platforms that drive business value for enterprise clients. This role demands a strong understanding of data ecosystems, stakeholder management, and product lifecycle ownership. Key Responsibilities: Lead the ideation, development, and launch of big data-driven products from scratch. Collaborate with cross-functional teams including data engineering, analytics, and business stakeholders to define product features and roadmap. Drive data integration strategies across various internal and external data sources. Manage the product lifecycle from concept through delivery and iteration using Agile methodologies. Translate customer and business needs into technical requirements and product capabilities. Define KPIs and track product success post-deployment. Ensure compliance, scalability, and performance of data platforms. Continuously monitor market trends and competitor data products for innovation and optimization. Required Skills & Experience: 5+ years of experience in Product Management , preferably in data-intensive environments. Strong understanding of Big Data technologies (Hadoop, Spark, Kafka, Hive, etc.). Proven experience in building data products and platforms from the ground up. Hands-on exposure to data pipelines , data lakes , APIs , and cloud infrastructure (AWS/GCP/Azure). Excellent communication and stakeholder management skills. Ability to manage end-to-end product lifecycle with Agile/Scrum methodologies. Experience working with data engineering and data science teams. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. Experience in B2B data products or within enterprise data/analytics platforms. Familiarity with data governance , metadata management , and data cataloging tools. Keywords: #ProductManagement #BigData #DataProducts #DataIntegration #DataEngineering #GurgaonJobs #Agile #DataPlatforms #ProductDevelopment #AnalyticsIndustry If you are interested, please share your cv on shweta.arora@skillkart.co

Senior UX Designer Experience: 3 - 5 Years Exp Salary : Upto USD 36,000 / year Preferred Notice Period : Within 30 Days Shift : 11:00AM to 8:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : B2B SaaS, Data Projects, Design tools, Mock-ups, Wireframes, Figma Good to have skills : customer usage, data products, ML engineers, SaaS data products, Google Analytics Altimate (One of Uplers' Clients) is Looking for: Senior UX Designer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Who are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in the era of ever-increasing data volumes. Used by thousands of users across the world and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. We are establishing a strong presence in India and the US with multiple amazing folks that you will enjoy working with. What are we looking for? Were looking for an exceptional designer to take ownership and use their creativity to help us design user interfaces in SaaS product as well as in different tool integrations like VSCode extension, Slack app, GitHub app etc. We are looking for someone with a background in the engineering or data space who is excellent at crafting user interactions. Why you should join Altimate AI Impact Lead the company on product design and branding Be the driver for building the design culture in the team Do the foundational work for the industry to define design patterns for agentic AI Learnings Work with founders and customers closely to understand the AI and data space Get feedback on your designs rapidly from thousands of users and enterprise customers Collaborate with engineers and customers via regular team offsites and participation in industry conferences About You Preferred qualifications: Experience designing B2B SaaS products (design portfolio needed) Speed and creativity to design multiple wireframes, mock-ups and workflows for new product use cases Ability to draft common themes to prototype icons, website designs, and slide graphics to portray the company brand in everything we do Proficiency in Figma and other design tools for wireframes and mockups Flexibility to take No as an answer from customers for many of your ideas and UX suggestions Self-motivated, able to work independently but also collaborative and driven by group critique (Bonus) Experience with SaaS data products that cater to data engineers, ML engineers or data analysts (Bonus) Experience in tracking customer usage and impact via UI through analytical tools like Google Analytics, Posthog etc. Engagement Type: Fulltime Direct-hire on the Altimate payroll Job Type: Permanent Location: Remote Working time: 11:00 AM to 8:00 PM Interview Process - 3 Rounds How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: We build AI teammates for data and analytics engineers to work autonomously for them. These AI teammates can be coached and personalized and are embedded in daily tools like IDE, Git, Slack, etc. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

This role is for one of the Weekday's clients Salary range: Rs 5000000 - Rs 7000000 (ie INR 50-70 LPA) Min Experience: 10 years Location: Bengaluru JobType: full-time We are seeking an experienced and strategic product leader to drive the vision, development, and execution of data platforms and AI-powered products. This role requires a deep understanding of data architecture, machine learning integration, and product strategy, coupled with strong leadership and cross-functional collaboration skills. Requirements Key Responsibilities: Define and execute the strategic roadmap for data platforms, aligning product development with business objectives and long-term goals. Set clear OKRs (Objectives and Key Results) for product initiatives and ensure alignment across engineering, data science, analytics, and platform teams. Establish and uphold rigorous standards for project planning, execution, and documentation throughout the product lifecycle. Lead the architecture and implementation of scalable data infrastructure, including real-time analytics platforms, data lakes, and robust data pipelines. Collaborate with data science, AI/ML, and engineering teams to seamlessly integrate predictive models and machine learning solutions into data products. Drive Agile execution to deliver projects on time, within scope and budget, while maintaining high standards of quality and security. Oversee and ensure comprehensive documentation of technical workflows, architectural decisions, and product specifications. Implement and manage robust data governance policies, ensuring compliance with global regulations such as GDPR and CCPA. Define and track key performance indicators (KPIs) to measure the effectiveness and impact of data products, and iterate for continuous improvement. Mentor and guide product managers and technical teams, fostering a culture of innovation, ownership, and operational excellence. Qualifications: Bachelors degree in Engineering (BTech) and/or MBA from a reputed institution (IITs, NITs, IIMs, ISBs, or equivalent). 10+ years of product management experience, with significant exposure to building and scaling data platforms and advanced analytics solutions. Proven success in developing and executing product strategies and OKRs in cross-functional, high-growth environments. Strong technical knowledge of cloud platforms (e.g., AWS, Azure) and data technologies such as Hadoop, Spark, Kafka. Deep expertise in data architectures, including data lakes, data warehouses, SQL/NoSQL databases, and real-time streaming pipelines. Experience integrating AI/ML models into products and leading business intelligence (BI) initiatives using tools like Tableau or Power BI. Demonstrated ability to lead complex programs across multiple teams with strong project management methodologies (Agile/Scrum). Sound understanding of data governance frameworks and regulatory compliance, including GDPR and CCPA. Exceptional leadership, communication, and stakeholder management skills with the ability to drive alignment between business and technical teams. Key Skills: Product Management | Data Platforms | AI/ML Integration | Data Science | Cloud Technologies | Data Governance | BI & Analytics | Agile Project Management | Team Leadership | NLP