Enterprise Sales Manager / Client Partner – SAP & Data & AI Solutions

Celebal Technologies; India; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

Celebal Technologies seeks an Enterprise Sales Manager / Client Partner to lead enterprise business development across SAP and Data & AI practices. You will engage C-level executives, orchestrate multi-million-dollar digital transformations, and bridge SAP ecosystems with cloud-scale analytics.

You will leverage SAP S/4HANA, BTP, and modern analytics to drive ROI-focused opportunities, partnering with hyperscalers and ecosystem allies to win large-scale engagements.

Qualifications

• 8–12+ years of quota-carrying enterprise technology sales or client partnership experience.
• Proven track record selling SAP implementations, migrations, or managed services.
• Experience closing consulting or engineering engagements focusing on modern data stacks and AI/ML.

Responsibilities

• Own an annual quota (ARR/TCV) for services and solution sales across Fortune 500/Global 2000 accounts.
• Source, qualify, and close complex SAP modernization and Data & AI platform deals.
• Build and manage a 3x–4x rolling pipeline across target sectors.
• Cultivate multi-threaded C-level relationships and articulate ROI-driven business cases.
• Lead cross-functional pursuit teams through end-to-end RFP/bid processes.

Skills

Quota-carrying sales

Enterprise sales

C-level engagement

Education

Bachelor’s degree

MBA preferred

Tools

SAP

Databricks

SAP BTP

Cloud platforms (AWS/Azure/GCP)

Job description

Practice Area: Enterprise Applications (SAP) & Data & Artificial Intelligence

Employment Type: Full-time

Location: Any CT Locations / Hybrid / Remote (with up to 30–40% Global travel)

About the Role

We are seeking a high-performing Enterprise Sales Manager / Client Partner to spearhead enterprise business development and strategic account expansion across our SAP and Data & AI solution practices.

In this role, you will act as a trusted advisor to C-level executives (CIOs, CDOs, CTOs, CFOs), orchestrating complex, multi-million-dollar digital transformation engagements. You will bridge legacy enterprise ecosystems (SAP S/4HANA, SAP BTP) with modern, cloud-scale Data & AI architectures. A strong working familiarity with the Databricks Lakehouse Platform and modern analytics ecosystems is considered a significant competitive advantage.

Key Responsibilities

• Own an annual quota (ARR / TCV) for services and solution sales across Fortune 500 / Global 2000 or enterprise mid-market accounts.


• Source, qualify, and close complex deals involving SAP modernizations (S/4HANA migrations, RISE with SAP, SAP BTP) and end-to-end Data & AI platforms (GenAI, ML, Predictive Analytics, Lakehouse architectures).


• Build and manage a 3x–4x rolling pipeline across target vertical sectors.


• Cultivate deep, multi-threaded relationships with enterprise stakeholders, positioning our capabilities around core business outcomes (e.g., supply chain optimization, automated financial close, customer intelligence).


• Translate technical architectures (e.g., SAP data extraction to Databricks for AI/ML modeling) into clear commercial and ROI-driven business cases for executive buyers.

Ecosystem & Alliance Collaboration

• Partner closely with hyperscalers (AWS, Azure, GCP) and platform partner reps (SAP, Databricks) on joint go-to-market (GTM) motions, co-selling, and partner-led lead generation.


• Lead cross-functional pursuit teams comprising Solution Architects, Delivery Directors, Pricing/Legal teams, and Practice Leads through the end-to-end RFP/bid lifecycle.

Required Qualifications & Experience

• Experience: 8–12+ years of quota-carrying enterprise technology sales or client partnership experience within an IT services firm, global systems integrator (GSI), or enterprise software vendor.


• SAP Domain Expertise: Proven track record selling SAP implementation, migration, or managed services (S/4HANA, BTP, ECC to Cloud migrations).


• Data & AI Acumen: Demonstrated success closing consulting or engineering engagements focused on modern data stacks, business intelligence, data governance, and applied AI/ML.


• Track Record: Consistent quota attainment ($5M–$10M+ annual bookings/revenue run-rate) handling large enterprise deals with 6–12 month sales cycles.


• Education: Bachelor’s degree in Business, Computer Science, Engineering, or a related field; MBA or equivalent practical experience preferred.

Preferred Skills & Differentiators

• Databricks Expertise (Huge Plus): Direct experience co-selling with or positioning Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Mosaic AI) alongside enterprise SAP environments (e.g., SAP Datasphere integration, FedData, operational-to-analytical lakehouse pipelines).


• Existing network of C-level decision-makers within relevant target sectors (e.g., Manufacturing, Retail/CPG, Financial Services, Life Sciences).


• Prior background working at or partnering with major GSIs (e.g., Accenture, Deloitte, Cognizant, Wipro, Capgemini) or platform vendors (SAP, Databricks, Snowflake, Microsoft)