Digital Solution Cnslt. Lead Consultant

NTT DATA, Inc.

Hyderabad

Hybrid

INR 3.200.000 - 6.000.000

Vollzeit

vor 14 Stunden
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Zusammenfassung

NTT DATA in Hyderabad, India seeks a Senior SAP Analytics Architect/Developer to lead enterprise analytics design and delivery. You will architect semantic models, datasets, and data layers, driving integration across SAP Datasphere, SAC, S/4HANA, Ariba, SuccessFactors, HANA, and BTP.

The role emphasizes governance, security, performance, and scalable KPI-rich visualizations. The ideal candidate brings 7+ years in SAP Analytics with SAC expertise, 5+ years with Datasphere, and strong leadership

Qualifikationen

  • 7+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
  • 5+ years hands-on with SAP Datasphere.
  • Experience with BW/HANA modeling and LSA++ design.
  • Mastery of semantic modeling, datasets, Spaces, analytical models, and data flows.
  • Good technical understanding of Virtual Data Model (VDM) and CDS (Core Data Services) Views.
  • Experience integrating with S/4HANA, Integrated Business Planning, Ariba, SuccessFactors, HANA, Datasphere, and SAP BTP.
  • Proven ability to lead architecture discussions and mentor teams.

Aufgaben

  • SAP Business Data Cloud / SAP Datasphere leadership.
  • Architect enterprise semantic models, datasets, and business data layers.
  • Lead integration strategies between SAP BDC, Datasphere and SAP S/4HANA, Ariba, SuccessFactors, HANA, BTP, and other cloud data sources.
  • Design data modeling frameworks, reusable objects, and governance standards.
  • Drive performance optimization of data pipelines, transformations, and replication strategies.
  • Ensure data quality, lineage, metadata standards, and security policies.
  • Develop complex SAC dashboards, analytic applications, and KPI‑rich visualizations.
  • Build scalable SAC models aligned with Datasphere semantics.
  • Implement advanced scripting using Analytics Designer.
  • Lead design standards, UX frameworks, and enterprise KPI definitions.
  • Manage SAC lifecycles within BDC and standalone tenants including transport, versioning, and security.

Kenntnisse

SAP Analytics
SAC
SAP Datasphere
BW/HANA modeling
LSA++ design
Semantic modeling
Data modeling
VDM
CDS Views
Leadership
Mentoring
S/4HANA
Ariba
SuccessFactors
HANA
BTP

Jobbeschreibung

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Digital Solution Cnslt. Lead Consultant to join our team in Hyderabad, Telangana (IN-TG), India (IN).

We are looking for a Senior SAP Business Data Cloud/Datasphere & SAC Analytics Architect/Developer to lead the design and delivery of enterprise‑scale analytics solutions. This role requires deep expertise in semantic modeling, data architecture, and advanced analytics development across SAP’s cloud data ecosystem.

Key Responsibilities
  • SAP Business Data Cloud / SAP Datasphere Leadership
    • Architect and implement enterprise‑grade semantic models, analytical datasets, and business data layers.
    • Lead integration enterprise strategies between SAP Business Data Cloud, Datasphere and SAP S/4HANA, Ariba, SuccessFactors, HANA, BTP, and other cloud data sources (Snowflake or Databricks).
    • Design data modeling frameworks, reusable objects, and governance standards.
    • Drive performance optimization of data pipelines, transformations, and replication strategies.
    • Ensure data quality, lineage, metadata standards, and security policies.
    • Act as a subject matter expert for Business Data Fabric and Data Mesh design.
    • Develop complex SAC dashboards, analytic applications, and KPI‑rich visualizations.
    • Build scalable SAC models aligned with Datasphere semantics.
    • Implement advanced scripting using Analytics Designer.
    • Lead design standards, UX frameworks, and enterprise KPI definitions.
    • Manage SAC lifecycles within BDC and standalone tenants including transport, versioning, and security.
  • Strategic Collaboration
    • Translate business needs into enterprise data products.
    • Mentor junior developers and analysts.
    • Partner with architects and data teams to deliver end‑to‑end solutions.
    • Influence roadmap development for Datasphere, SAC, and analytics modernization.
  • Operational Excellence
    • Lead troubleshooting across modeling layers and optimize performance.
    • Produce documentation, modeling standards, and reusable templates.
    • Participate in governance and architecture forums.
Required Qualifications
  • 7+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
  • 5+ years hands‑on with SAP Datasphere
  • Experience with BW/HANA modeling and Layered Scalable Architecture++ (LSA++) design.
  • Mastery of semantic modeling, datasets, Spaces, analytical models, and data flows.
  • Good technical understanding of Virtual Data Model (VDM) and CDS (Core Data Services) Views.
  • Experience integrating with S/4HANA, Integrated Business Planning, Ariba, SuccessFactors, HANA, Datasphere, and SAP BTP.
  • Proven ability to lead architecture discussions and mentor teams.
Preferred Qualifications
  • Experience with SAP BTP services.
  • Exposure to SAP Business Data Cloud and Data Product concepts.
  • SAC Planning expertise.
  • Certifications in SAC, Datasphere, HANA, or BW.
  • Technical fluency in ABAP, SQL, Python, and modern modeling frameworks.
Soft Skills
  • Strong leadership and communication skills.
  • Highly collaborative, proactive, and strategic.
  • Strong ownership mindset

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

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