54 Data Infrastructure Jobs

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Technical Experience Design and implement responsive web and mobile user interfaces using HTML, CSS, JavaScript, and other front-end technologies. Collaborate with product managers and designers to translate concepts into wireframes, prototypes, and final designs. Conduct user research and usability testing to gather feedback and refine designs. Optimize applications for maximum speed and scalability. Ensure designs are consistent with company branding and style guidelines. Stay up-to-date with industry trends and best practices in UI/UX design and development. Work with developers to integrate UI components with back-end functionality. Develop and maintain design documentation and style guides. Mandatory Skill Sets Adobe XD, Sketch, Figma, or similar Preferred Skill Sets Adobe XD, Sketch, Figma, or similar Years Of Experience Required 4-8 Years Education Qualification BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills UI/UX Design Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline + 27 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

Data engineers play a crucial role in constructing dependable and scalable data infrastructure to empower organizations in extracting valuable insights, facilitating data-informed decision-making, and maximizing the potential of their data resources. As a data engineer, you will lead and supervise a team of data engineers, establish and implement data engineering strategies, and oversee the efficient deployment of data solutions. Your responsibilities will include offering technical guidance, fostering innovation, and working closely with stakeholders to provide top-notch, scalable, and dependable data infrastructure and solutions.,

The Modern Data Company is seeking a seasoned UX Product Manager who is passionate about creating intuitive and elegant experiences for technically sophisticated users. As a part of the Platform team at DataOS, you will have a pivotal role in redefining the user experience of GUI applications that drive how data developers interact with the platform. Data platforms are inherently complex, and our mission is to simplify this complexity without compromising power or flexibility. We are looking for a candidate who can reduce cognitive load, drive delightful user interactions, and deliver exceptional UX across our suite of enterprise tools. Responsibilities include owning the end-to-end UX strategy and product roadmap for platform-facing GUI applications, collaborating with engineering, design, and other product teams to create seamless and scalable user experiences, deeply understanding data developers workflows and goals to make impactful product decisions, conducting usability testing, gathering feedback, and iterating rapidly, and ensuring that UI/UX patterns align with enterprise-grade expectations around performance, security, and accessibility. We are looking for candidates with at least 6 years of product management experience in B2B software, preferably focused on platforms or developer tools, a proven track record of launching and evolving GUI applications for enterprise-grade products, proficiency in Figma and comfortable leading design explorations hands-on, strong empathy for technical users and ability to reduce friction in complex workflows, excellent communication and storytelling skills to rally teams around a vision and drive clarity amidst ambiguity, and a bonus if you have experience working with data infrastructure, developer platforms, or system-level products. At Modern, our value system is based on HEAT: Humility, Empathy, Accountability, and Transparency. We appreciate individuals who are curious, love problem-solving, and possess a big-picture perspective. We believe in providing attractive compensation, benefits, and ESOPs to our employees, ensuring that they create significant value for themselves while working towards a common goal. If you are looking to do your best work and embrace a culture of competition for talent, Modern is the place for you.,

Rockwell Automation is a global technology leader dedicated to assisting the world's manufacturers in enhancing productivity, sustainability, and agility. With over 28,000 employees striving to make a positive impact daily, we take pride in our exceptional team. Our customers, remarkable companies contributing to essential sectors such as healthcare, agriculture, and environmental conservation, inspire our team of energetic problem solvers to drive meaningful change worldwide. If you are a maker, forward thinker, or problem solver seeking a platform to showcase your skills, we invite you to consider joining us! As an AI Architect at Rockwell Automation based in Pune, Noida, or Bangalore, India, you will play a crucial role in designing, developing, and implementing enterprise-grade artificial intelligence solutions. Reporting to the Director of Enterprise Architecture, you will operate from our Pune office in a hybrid capacity. Collaborating with diverse teams including data scientists, engineers, and business leaders, you will ensure that AI systems are scalable, secure, and aligned with organizational objectives. **Your Responsibilities:** - **Architect and implement AI solutions**: Design and supervise end-to-end AI architectures that seamlessly integrate with existing IT and data infrastructure, focusing on scalability, performance, and maintainability. - **Lead cross-functional delivery teams**: Provide guidance to data scientists, engineers, and business stakeholders across the AI solution lifecycle, from ideation and prototyping to production deployment and monitoring. - **Evaluate and recommend technologies**: Assess AI/ML platforms, frameworks, and tools to ensure alignment with business requirements and technical feasibility. - **Establish best practices**: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - **Mentor and evangelize**: Offer technical leadership and mentorship to junior architects and data professionals, while advocating for AI adoption and architectural vision within the organization. **The Essentials You Will Have:** - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in designing and implementing AI architectures in production environments. - Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and cloud-based AI services. - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience leading complex AI projects with cross-functional teams and delivering solutions that drive business outcomes. - Familiarity with ethical AI practices and data protection regulations. **The Preferred You Might Also Have:** - Experience deploying AI solutions on cloud platforms in hybrid or multi-cloud environments. - Knowledge of MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. - Strong problem-solving abilities and the capacity to translate business requirements into scalable technical solutions. - Experience in mentoring and developing talent within AI or data science teams. **What We Offer:** Our benefits package includes comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, on-demand professional development courses, and other local benefits. At Rockwell Automation, we are committed to fostering a diverse, inclusive, and authentic workplace. If you are enthusiastic about this role but do not meet every qualification in the job description, we encourage you to apply as you might be the right fit for this position or other roles. Rockwell Automation's hybrid policy mandates employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation elsewhere.,

Aera Technology is revolutionizing enterprise decision-making. Our AI-driven platform, Aera Decision Cloud, integrates seamlessly with existing systems to digitize, augment, and automate critical business decisions in real-time. Aera helps global enterprises transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world's best-known brands. We are looking for a Product Manager - Data to lead the evolution of our core Decision Intelligence capabilities. You will redefine how organizations harness data and AI to drive smarter, faster, and more sustainable decision-making. This is an exciting opportunity to be at the forefront of enterprise AI innovation, collaborating with a dynamic team in a fast-paced, startup-like environment. This role will be based in our Pune office. Responsibilities As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows. Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value. Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points. Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation. Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions. Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities. Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers. About You You are passionate - you are your product's biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value. You are pragmatic - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table. You love to learn - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution. You are a master at communication and collaboration - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal. Experience At least 2 yrs of B2B SaaS PM experience Mandatory. Experience in data infrastructure, AI/ML platforms, or enterprise data products. Knowledge of data modeling, SQL, and ETL/ELT processes. Knowledge of data quality, metadata management, data lineage, and observability is a plus. Bachelor's degree in Engineering/Computer Science or a related technical discipline. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

As a Business Intelligence (BI) Developer, your primary responsibility will involve developing a BI framework and an implementation roadmap to deploy BI solutions across various functions to meet organizational requirements. You will collaborate with functional and business stakeholders to gather and understand their requirements, design scalable reports, visualizations, and interactive dashboards to provide actionable insights and support data-driven decision-making. Your role will also entail handling ad-hoc requests for data analysis and visualization, assisting stakeholders in identifying patterns, generating meaningful insights, and facilitating data-driven decision-making. In addition, you will be involved in developing data standards, data archiving procedures, performing data analysis and profiling using SQL to identify data quality issues, and recommending solutions to stakeholders. You will also be responsible for identifying opportunities for automation, quality improvement, streamlining, and standardization in data gathering, reporting, and insights generation. Moreover, you will assess system performance and provide recommendations for hardware, software, and data management/storage improvements. Furthermore, you will collaborate with third-party vendors to ensure a smooth handover-takeover of existing BI systems or Manufacturing Execution Systems (MES). You will act as the super user for MES and provide first-level support for internal user queries. Your role will also involve creating and optimizing data models, data connections, and transformations to ensure accurate and efficient data analysis, visualization, and reporting. Additionally, you will develop Excel-based tools and utilities to support data gathering and problem-solving, utilizing VBA to automate and error-proof them as much as possible. Working with cross-functional teams, you will define Key Performance Indicators (KPIs), set performance baselines, and ensure the availability of real-time insights through live dashboards and regular reports. You will also design, develop, and modify data infrastructure to accelerate data analysis and reporting processes. Moreover, as a BI Developer, you will lead Artificial Intelligence (AI) and Machine Learning (ML) implementation projects to deliver AI-powered insights. You will be responsible for developing and maintaining standards of operation for handling and archiving data, as well as overseeing the integration of new technologies and initiatives into data standards and structures. Additionally, you will participate in evaluating the design, selection, and implementation of database changes by aligning them with business requirements and design documents and ensuring data/information security across global teams and third parties. Your Profile: - Qualification: STEM graduate with a degree in Computer Science Engineering. - Certification in BI-Analytics is desirable. - Proficiency in Microsoft Excel, VBA, automation, SQL, Power BI, Tableau, and SAP Analytics Cloud (preferred but not mandatory), Data modeling, Statistical Analysis, Data analysis, data Visualization, with a good understanding of advanced analytics (AI/ML, desirable). - 5-8 years of experience in data analytics with demonstrated expertise in Power BI. - Desired experience in SAP Analytics Cloud.,

The Network Specialist (Tier3 support) plays a critical role in supporting the technical activities and projects associated with Telstra IP product range. Your primary responsibility is to ensure that the Telstra network delivers a superior network experience for our consumer and business customers. Drawing on your deep levels of telecommunications network expertise and experience, you will provide specialist analysis, design, development, and deployment in network-specific technology domains. This includes developing platform-specific technology roadmaps and making technology investment recommendations. Your role significantly contributes to the business strategy by effectively and efficiently supporting a diverse set of technical projects with specific outcomes via programs of work in Technology delivery. You will also provide expert input and recommendations regarding future-looking technical projects. Key areas of focus for this role include Core IP routers and capacities supporting the complete suite of International IP network services, Internet Edge Routers providing IPT and GID services to key OTT and Eyeball customers, Private IP service Provider Edge routers servicing Telstra internal and external customers, Overlay GMNS and SD-WAN product range providing services to enterprise customers, and support and operational systems. Your responsibilities will involve working closely with operations teams, supporting the deployment of configurations and new designs/solutions to network elements, developing and testing solutions in physical and virtual lab environments, supporting deployment activities of new technologies and hardware, and collaborating with product teams to support customer product offerings such as SD-WAN and GNMS. You will also be responsible for providing engineering sales support, responding to RFQs and tenders on potential services of a complex or novel nature, attending customer meetings as a technical expert, identifying, analyzing, and specifying new and emerging technologies, technology roadmaps, and product/service opportunities, and maintaining a high level of capability in network engineering. Additionally, you will support the deployment and management of internal networks, communicate complex technical concepts to a less technically skilled audience, handle complex network issues, and deliver customer-focused service support under high pressure. Qualifications/Experiences: - University graduate in Telecommunication or related study - Industry certification is a requirement with a preference for candidates with Cisco CCIE and Juniper JNCIE certifications - In-depth knowledge of Juniper and Cisco IP networking and equipment - Excellent analytical and writing skills, with attention to detail - Ability to remain calm under pressure and experience working in an operational capacity Essential Technical Skills: - BGP - BGP-LS - Data Infrastructure - DevOps practices - DHCP - DNS - Ethernet - ETSI NFV-MANO (frameworks) - EVPN - Internet protocol suite (TCP/IP) - IP Networking - IP Routing - IPv4 - IPv6 - MPLS - NETCONF/RESTCONF - NFV - OpenFlow - OpenStack - Orchestration - OSI Reference Model - Network Telemetry - CLA technologies - RPKI - Management protocols (SNMP, NETFLOW) - SDWAN,

The Team Lead - Business Analyst will be joining the Merchandising Analytics Team in Dania Beach, FL. Reporting directly to the Sr. Manager of Enterprise Data and BI, you will play a crucial role in delivering scalable data infrastructure, supporting data governance initiatives, and enhancing the self-service merchandising reporting environment. Collaboration with analysts, data engineers, and the corporate IT team will be key to anticipating data infrastructure requirements and proactively developing solutions to drive data-centric insights. Your primary responsibilities will include demonstrating proficiency in handling and analyzing data sets comprising millions of records using SQL, Excel, and Tableau. You will be tasked with creating metrics and dashboards encompassing customer, marketing, ecommerce, and financial metrics. Additionally, the ability to leverage data visualization techniques to present intricate topics in a clear and concise manner will be essential. Key Responsibilities: - Collaborate with analytics, data engineering, and BI teams to develop and quality-assure new data tables and sources across various platforms - Work closely with business leaders and end-users to enhance the Tableau experience and ensure actionable and insightful KPIs - Assist the Sr. Manager of Enterprise BI in establishing and upholding stringent data governance standards within Tableau and underlying data sources - Develop and maintain reusable SQL scripts to cater to diverse business cases and reporting demands - Create informative and user-friendly Tableau dashboards using multiple data sources, parameters, and measures - Conduct intricate analyses on customer behavior, marketing mix, and funnel performance by leveraging extensive data sets from multiple systems - Collaborate with different analytics teams to design and implement scalable, self-service reporting for cross-functional stakeholders - Partner with stakeholders to define and sequence product release roadmaps using tools such as JIRA, Confluence, and other workflow management and documentation platforms.,

Job Description : We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Responsibilities : - Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities - Implementing ETL process - Monitoring performance and advising any necessary infrastructure changes - Defining data retention policies Skills and Qualifications : - Proficient understanding of distributed computing principles - Management of Hadoop cluster, with all included services - Ability to solve any ongoing issues with operating the cluster - Proficiency with Hadoop v2, MapReduce, HDFS - Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming - Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala - Experience with Spark - Experience with integration of data from multiple data sources - Experience with NoSQL databases, such as HBase, Cassandra, MongoDB - Knowledge of various ETL techniques and frameworks, such as Flume - Experience with various messaging systems, such as Kafka or RabbitMQ - Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O - Good understanding of Lambda Architecture, along with its advantages and drawbacks - Experience with Cloudera/MapR/Hortonworks

Role Responsibilities Lead and manage complex, cross-functional technical programs, ensuring timely execution and stakeholder alignment. Collaborate with Engineering, Product, and AI Data Infra teams to optimize workflows and align operational priorities. Own resource allocation, process improvements, and tooling launches, managing escalations and critical incidents. Drive program execution, measure KPIs, mitigate risks, and contribute to budgeting and forecasting for AI Data operations. Job Requirements Bachelor's degree in Computer Science Engineering, or equivalent practical experience. 5 years of experience in program management with technical cross-functional projects. 3 years of experience managing large-scale programs, including vendor-managed resources. Strong ability to influence, communicate across teams, and operate in a fast-paced environment.

Role Responsibilities Lead and manage complex, cross-functional technical programs, ensuring timely execution and stakeholder alignment. Collaborate with Engineering, Product, and AI Data Infra teams to optimize workflows and align operational priorities. Own resource allocation, process improvements, and tooling launches, managing escalations and critical incidents. Drive program execution, measure KPIs, mitigate risks, and contribute to budgeting and forecasting for AI Data operations. Job Requirements Bachelor's degree in Computer Science Engineering, or equivalent practical experience. 5 years of experience in program management with technical cross-functional projects. 3 years of experience managing large-scale programs, including vendor-managed resources. Strong ability to influence, communicate across teams, and operate in a fast-paced environment.

Responsibilities Co-lead a team of analysts in support of Cloud FP&A product and GTM Finance teams. Work closely with Subject Matter Expert (SME) managers in Google Cloud Platform, Google Workspace, Maps Platform, Marketing and GTM Finance teams and their business partners to scale insights, reporting, allocations, profit and loss and other critical business and finance business processes. Develop, mentor and grow analyst team to provide financial insight to business. Automate processes and scale work, driving optimal efficiency in time zone management with other global sites. Work closely with other Alphabet finance leaders and teams in India to share and provide best practices, including other offshore team to optimize quality, delivery of insights. Minimum qualifications: Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 10 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree. Experience in building, developing, and leading a team. Preferred qualifications: Experience in building data infrastructure (designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions. Leadership experience with complex strategic and operational initiatives, across multiple products, functions, and geographies. Experience in developing strategies in a fast-paced environments for resource allocation decisions to achieve the desired business outcome. Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights. Ability to take ownership, confidence to interact with all levels, set objectives, drive results, and be a team player. Excellent communication skills and ability to work with a wide variety of departments.

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven initiatives. Your primary focus will be to ensure efficient collection, storage, and processing of data for analysis and business use. Your key responsibilities will include designing, implementing, and optimizing end-to-end data pipelines for ingesting, processing, and transforming large volumes of both structured and unstructured data. You will also be tasked with building and maintaining data infrastructure that facilitates effective data utilization within organizations. In this role, you will design and maintain data models, schemas, and database structures to support various analytical and operational use cases. Ensuring data quality, accuracy, and security throughout the data lifecycle will be crucial to your success. Collaboration will be a key aspect of your work as you will be required to work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions. Problem-solving skills will also be essential as you identify and address data-related challenges to ensure data availability for analysis and decision-making. Remaining up-to-date with the latest data engineering technologies and tools will be necessary to excel in this role. The job types available for this position are full-time, permanent, and open to fresher candidates. The benefits offered include food provision, and the work schedule consists of day shifts with a morning shift timing. Additionally, a performance bonus will be provided. The work location for this role is in person.,

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. For the role at 66degrees, we are seeking a senior contractor to engage in a 2.5-month remote assignment with the potential to extend. Candidates with the required skills and the ability to work independently as well as within a team environment are encouraged to apply. As part of the responsibilities, you will be expected to facilitate, guide, and influence the client and teams towards an effective architectural pattern. You will serve as an interface between business leadership, technology leadership, and the delivery teams. Your role will involve performing Migration Assessments and producing Migration Plans that include Total Cost of Ownership (TCO), Migration Architecture, Migration Timelines, and Application Waves. Additionally, you will be responsible for designing a solution architecture on Google Cloud to support critical workloads. This will include Heterogeneous Oracle Migrations to Postgres or Spanner. You will need to design a migration path that accounts for the conversion of Application Dependencies, Database objects, Data, Data Pipelines, Orchestration, Users and Security. You will oversee migration activities and provide troubleshooting support, including translation of DDL and DML, executing data transfers using native Google Cloud and 3rd party tools, and setting up and configuring relative Google Cloud components. Furthermore, you will engage with customer teams as a Google Cloud expert to provide Education Workshops, Architectural Recommendations, and Technology reviews and recommendations. Qualifications: - 5+ years of experience with data engineering, cloud architecture, or working with data infrastructure. - 5+ years of Oracle database management and IT experience. - Experience with Oracle Database adjacent products like Golden Gate and Data Guard. - 3+ years of PostgreSQL experience. - Proven experience in performing performance testing and applying remediations to address performance issues. - Experience in designing data models. - Proficiency in Python programming language and SQL. - Advanced SQL skills, including the ability to write, tune, and interpret SQL queries; tool-specific experience in the database platforms listed above is ideal. - Proven experience in migrating and/or implementing cloud databases like Cloud SQL, Spanner, and Bigtable. Desired Skills: - Google Cloud Professional Architect and/or Data Engineer Certification is preferred. 66degrees is committed to protecting your privacy. Your personal information is collected, used, and shared in accordance with the California Consumer Privacy Act (CCPA).,

As a Data Solutions Developer, you will collaborate closely with the Head of Data to create and implement scalable data solutions that facilitate the consolidation of company-wide data into a controlled data warehouse environment, potentially utilizing Azure Data Lake and SQL Server. Your primary focus will be on constructing efficient ELT pipelines, APIs, and database architectures to facilitate the high-speed ingestion and storage of data from various sources into a unified repository. This repository will act as the foundation for business reporting and operational decision-making processes. Your responsibilities will include designing and implementing scalable database and data warehouse solutions, establishing and managing data ingestion pipelines for both batch and real-time integration, defining and maintaining relational schema and metadata frameworks, and supporting the development of a centralized data repository for unified reporting and analysis. Furthermore, you will optimize database structures and queries for performance and scalability, while also documenting and version controlling all data pipeline and architecture components. In addition to your focus on centralizing data infrastructure, you will address ad hoc data solution requirements to ensure the continuity of business operations. You will develop and maintain robust APIs for internal and external data exchange, facilitate efficient data flow between operational systems and reporting platforms, and support system integrations with various tools such as CRM, finance, operations, and marketing. You will collaborate with IT and compliance personnel to enforce access control, encryption, and PII protection across all data solutions, as well as ensure compliance with data protection regulations such as GDPR. Promoting and upholding data quality, governance, and security standards will be an integral part of your role. Acting as a subject matter expert, you will provide guidance on best practices in data engineering and cloud architecture, offer ongoing support to internal teams on performance optimization and scalable solution design, and take on DBA responsibilities for the SBR database. To be successful in this role, you should possess at least 5 years of experience as a SQL Developer or in a similar role, demonstrate a strong understanding of system design and software architecture, and be capable of designing and building performant and scalable data infrastructure solutions. Proficiency in SQL and its variations among popular databases, expertise in optimizing complex SQL statements, and a solid grasp of API knowledge and data ingestion pipeline creation are essential skills for this position.,

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspire the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. This role would be a perfect fit for somebody who has significant experience in Systems Engineering but is transitioning towards a software Engineer. You would be an integral part of a small data-centric team driving large-scale data infrastructure and processes development, implementation, and improvement. Our organization thrives on collaborative partnerships. Join and play a key role in developing and driving the innovation on our data collection infrastructure and working on data-centric micro-services. Apple's Manufacturing Systems and Infrastructure (MSI) team is responsible for capturing, consolidating and tracking all manufacturing data for Apple's products and modules worldwide. Our tools enable teams to confidently use data to shape the next generation of product manufacturing at Apple. We seek a practitioner with experience building large-scale data platforms, analytic tools, and solutions. If you are passionate about making data easily accessible, trusted, and available across the entire business at scale, we'd love to hear from you. You will work closely with cross-functional teams to understand business requirements, design scalable solutions, and ensure the integrity and availability of our data. The ideal candidate will have a deep understanding of systems engineering, cloud technologies, API gateways, software engineering best practices, and a proven track record of successfully delivering complex projects. Lead the design and implementation of data collection infrastructure. Collaborate with software engineers to understand requirements. Stay current with industry trends and emerging technologies. Minimum Qualifications: B.Tech. Degree in computer science or equivalent field with 3 - 6 years hands-on programming experience. Proven experience as a Systems Engineer. Strong proficiency in cloud services such as AWS, Azure, or Google Cloud. Expertise in building edge infrastructure and observability for the infrastructure. Proficient in programming languages such as Bash, GoLang, Python. Expert Knowledge of Kubernetes. Preferred Qualifications: Certification in cloud platforms. Experience building microservices. Knowledge of machine learning and data science concepts. Contributions to the open-source community. Submit CV,

Forbes Advisor is a high-growth digital media and technology company that empowers consumers to make confident decisions about money, health, careers, and everyday life. Our global data organization builds modern, AI-augmented pipelines that turn information into revenue-driving insight. We're hiring a Program Manager to orchestrate complex, cross-functional data initiatives from revenue-pipeline automation to analytics product launches. As a Program Manager, you will be the connective tissue between Data Engineering, Analytics, RevOps, Product, and external partners, ensuring programs land on time, on scope, and with measurable impact. If you excel at turning vision into executable roadmaps, mitigating risk before it bites, and communicating clearly across technical and business audiences, we'd love to meet you. Key Responsibilities: - Own program delivery for multi-team data products (e.g., revenue-data pipelines, attribution models, partner-facing reporting APIs). - Build and maintain integrated roadmaps, aligning sprint plans, funding, and resource commitments. - Drive agile ceremonies (backlog grooming, sprint planning, retrospectives) and track velocity, burn-down, and cycle-time metrics. - Create transparent status reportingrisks, dependencies, OKRs tailored for engineers up to C-suite stakeholders. - Proactively remove blockers by coordinating with Platform, IT, Legal/Compliance, and external vendors. - Champion process optimization: intake, prioritization, change management, and post-mortems. - Partner with RevOps and Media teams to ensure program outputs translate into revenue growth and faster decision making. - Facilitate launch readinessQA checklists, enablement materials, go-live runbooks so new data products land smoothly. - Foster a culture of documentation, psychological safety, and continuous improvement within the data organization. Experience required: - 7+ years program or project-management experience in data, analytics, SaaS, or high-growth tech. - Proven success delivering complex, multi-stakeholder initiatives on aggressive timelines. - Expertise with agile frameworks (Scrum/Kanban) and modern collaboration tools (Jira, Asana, Notion/Confluence, Slack). - Strong understanding of data & cloud concepts (pipelines, ETL/ELT, BigQuery, dbt, Airflow/Composer). - Excellent written and verbal communicationable to translate between technical teams and business leaders. - Risk-management mindset: identify, quantify, and drive mitigation before issues escalate. - Experience coordinating across time zones and cultures in a remote-first environment. Nice to Have: - Formal certification (PMP, PMI-ACP, CSM, SAFe, or equivalent). - Familiarity with GCP services, Looker/Tableau, or marketing-data stacks (Google Ads, Meta, GA4). - Exposure to revenue operations, performance marketing, or subscription/affiliate business models. - Background in change-management or process-improvement methodologies (Lean, Six Sigma). Perks: - Monthly long weekendsevery third Friday off. - Fitness and commute reimbursement. - Remote-first culture with flexible hours and a high-trust environment. - Opportunity to shape a world-class data platform inside a trusted global brand. - Collaborate with talented engineers, analysts, and product leaders who value innovation and impact. 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!,

As a Financial Analyst at Google, you will play a crucial role in ensuring sound financial decisions are made within the company. Your responsibilities will involve analyzing datasets to extract valuable information, identifying trends, and generating insights to support business objectives. Your work will be instrumental in providing our leaders with the necessary information to make strategic decisions that drive the company forward. With a Bachelor's degree in Business, Finance, Economics, Statistics, or a related quantitative field, or equivalent practical experience, and at least 4 years of experience in financial planning and analysis, consulting, or a related field, you will have the foundation needed to excel in this role. An advanced degree is a plus. Preferred qualifications for this role include experience with building data infrastructure, implementing reporting solutions, and developing strategies in a dynamic environment. Your ability to work with data to produce analysis, make informed business decisions, and communicate effectively with stakeholders at all levels will be key to your success. In your role as a Financial Analyst, you will lead projects to transform planning, tracking, and control processes within the Finance team. You will provide senior management with insightful recommendations, planning, and reporting support. Your expertise will be crucial in evaluating risks, managing projects with multiple stakeholders, and adapting to changing circumstances to drive positive outcomes for the business. Join us at Google, where the Finance team plays a vital role in providing in-depth analysis for strategic decisions across Google products. From analyzing data to developing forward-thinking strategies, you will be part of a team that thrives on tackling big challenges and making a significant impact on the company's success.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

Department : Platform Engineering Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality And Governance : - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration And Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience : - 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

Job Title : Sr. Data Engineer Ontology & Knowledge Graph Specialist Department : Platform Engineering Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality And Governance : - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration And Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience : - 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

Department : Platform Engineering Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality And Governance : - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration And Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience : - 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality And Governance : - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration And Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience : - 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

About The Role Job Title Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

Job Description: Forbes Advisor is a high-growth digital media and technology company that empowers consumers to make confident decisions about money, health, careers, and everyday life. Our global data organization builds modern, AI-augmented pipelines that turn information into revenue-driving insight. We are currently seeking a Program Manager to orchestrate complex, cross-functional data initiatives, from revenue-pipeline automation to analytics product launches. As the Program Manager, you will serve as the connective tissue between Data Engineering, Analytics, RevOps, Product, and external partners, ensuring that programs are delivered on time, within scope, and with measurable impact. If you excel at translating vision into executable roadmaps, proactively mitigating risks, and effectively communicating with both technical and business audiences, we would be thrilled to meet you. Key Responsibilities: - Own program delivery for multi-team data products such as revenue-data pipelines, attribution models, and partner-facing reporting APIs. - Develop and maintain integrated roadmaps, ensuring alignment between sprint plans, funding, and resource commitments. - Lead agile ceremonies including backlog grooming, sprint planning, retrospectives, and track metrics such as velocity, burn-down, and cycle-time. - Provide transparent status reporting on risks, dependencies, and OKRs tailored for various stakeholders. - Proactively remove blockers by coordinating with internal teams and external vendors. - Drive process optimization initiatives including intake, prioritization, change management, and post-mortems. - Collaborate with RevOps and Media teams to ensure that program outputs result in revenue growth and improved decision-making. - Ensure launch readiness through QA checklists, enablement materials, and go-live runbooks for new data products. - Foster a culture of documentation, psychological safety, and continuous improvement within the data organization. Experience Required: - 7+ years of program or project-management experience in data, analytics, SaaS, or high-growth tech. - Demonstrated success in delivering complex, multi-stakeholder initiatives within aggressive timelines. - Expertise in agile frameworks (Scrum/Kanban) and modern collaboration tools (Jira, Asana, Notion/Confluence, Slack). - Strong understanding of data & cloud concepts including pipelines, ETL/ELT, BigQuery, dbt, Airflow/Composer. - Excellent written and verbal communication skills to facilitate communication between technical teams and business leaders. - Risk-management mindset with the ability to identify, quantify, and mitigate risks before escalation. - Experience working across different time zones and cultures in a remote-first environment. Nice to Have: - Formal certification such as PMP, PMI-ACP, CSM, SAFe, or equivalent. - Familiarity with GCP services, Looker/Tableau, or marketing-data stacks (Google Ads, Meta, GA4). - Exposure to revenue operations, performance marketing, or subscription/affiliate business models. - Background in change-management or process-improvement methodologies (Lean, Six Sigma). Perks: - Monthly long weekends with every third Friday off. - Fitness and commute reimbursement. - Remote-first culture with flexible hours and a high-trust environment. - Opportunity to shape a world-class data platform within a trusted global brand. - Collaboration with talented engineers, analysts, and product leaders who value innovation and impact. To apply for this opportunity: Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume. Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Uplers" goal is to make hiring reliable, simple, and fast. We aim to assist all our talents in finding and applying for relevant contractual onsite opportunities and progressing in their careers. We are committed to supporting any grievances or challenges you may face during the engagement. If you are prepared for a new challenge, a great work environment, and an opportunity to advance your career, do not hesitate to apply today. We are looking forward to having you on board!,