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    Job · 22847889

    SAP logo

    Consultant in Data Analytics, Datasphere & AI Domain

    SAP · Gurugram · onsite · Posted 1d ago

    Undisclosed8–13 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    We help the world run better
    At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for youConstant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
    Where you belong
    The SAP Data and AI team within APAC Global Delivery Hub is dedicated to driving customer adoption success and accelerating measurable business outcomes. The team focuses on Consulting Delivery for APAC and for other regions globally, and also supports SAP's pre-sales and sales team in the Data & AI space.
    We bring SAP's most innovative data and AI frameworks and solutions to life by enabling customers to fully realize the value of their data through SAP Business Data Cloud and the broader Data and AI portfolio. By fostering collaboration, innovation, and a strong customer-centric mindset, we ensure that strategy turns into sustained adoption, tangible impact, and long-term value realization.
    What you build
    As an Architect in Data & AI Space, you'll lead customer engagements to help SAP's customers on their transformation to SAP's innovative Data & AI Portfolio. Your role will focus on thought leadership, fostering collaboration, and achieving customer success with use of SAP solutions.
    Key responsibilities:
    • Develop innovative business data & analytics strategies, and solutions for SAP's customers
    • Develop cutting edge AI solutions and AI agents that deliver real business outcomes
    • Advise on the implementation and optimization of Analytics and AI solutions with SAP Business Data Cloud from requirements analysis and technical design to implementation
    • Transform and modernize existing data warehousing and reporting systems
    • Take on project responsibility as a lead/Architect and also support in presales activities as per need.
    • Deepen and expand customer relationships through competent consulting and solution-oriented approaches
    What you bring
    • Deep expertise in Data & Analytics architectures, concepts and business impacts. Proven ability to align technology and business strategies for impactful customer outcomes
    • 8+ years of overall experience with specialization in Data & Analytics architecture and business transformation, with a track record of delivering high-impact solutions. Proven track record of delivering large scale Analytics & AI programs in the SAP environment.
    • Cross industry expertise and exposure: cross industry expertise with a deep knowledge in at least two industries or domains to build relevant Use Cases for data platforms & AI
    • SAP data and analytics expertise : In-depth knowledge of SAP's Data & AI portfolio (SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP BW) and the correlation with SAP Business AI, SAP RISE including Clean Core principles.
    • Experience working with leading third-party data platforms such as Databricks and Snowflake, alongside hyperscaler ecosystems including Google Cloud Platform, AWS, and Microsoft Azure.
    • Deep technical expertise in integration architectures across hybrid SAP and non-SAP environments, with strong knowledge of Data Mesh and Data Fabric approaches, Big Data and Data Lake technologies.
    • Strategic relationship building : Strong networking skills within SAP and externally, with the ability to build trusted relationships with leaders, including CIOs and CTOs
    • Good Written & Verbal Communication & Ability to Interact with diverse group of people.
    • Good Understanding on AI related use cases & its potential realization.
    • Proven track record of performance with stable stint in the previous organizations.
    Nice-to-Have Requirements
    • S/4HANA & business transformation expertise: S/4HANA and business transformation knowledge to identify optimization & innovation potentials in customer engagements
    • Industry certifications: Relevant certifications, such as SAP Certified Architect or others, with recognition as a thought leader in enterprise architecture
    What we offer
    This role provides a unique opportunity to shape SAP's global Data & AI strategy. You will:
    • Impact SAP's Future: Lead transformative projects that define SAP's strategy and drive customer success in the domain of Data & AI
    • Collaborate with Industry Leaders: Work alongside global teams, SAP executives, and strategic customers on high-value transformations
    • Career Growth Opportunities: Enjoy a clear path to advancement with opportunities for specialization or leadership within SAP's ecosystem
    • Inclusive Work Environment: Experience a flexible environment fostering continuous learning, professional development, and innovation
    Location - Bangalore/ Gurgoan
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    Sourced from naukri

    Skills

    ai strategyai frameworksdata platformsamazon web servicesData Fabriccustomer successcorrelationbusiness dataAnalyticsData LakeData AnalyticscloudBusiness TransformationArchitectureCustomer RelationshipsAi SolutionsMicrosoft AzureBig DataArtificial Intelligence

    About SAP

    SAP logo

    SAP

    Software Product

    16.2k+

    employees

    1972

    54 years old

    Walldorf, Baden-Württemberg

    Germany

    About

    Business software for managing customer success & operations

    Industries

    Software ProductAnalytics & KPOIT Services & Consulting

    Employee ratings

    1,982 reviews

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    Culture

    4.2

    Career growth

    3.4

    Work-life

    4.3

    Employees rate it well for

    Work Life Balance432Salary335Work Culture303Learning174Career Growth133

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