Enterprise Sales Manager - SAP & Data & AI Solutions
Quota-carrying enterprise sales role at an IT services firm: sourcing and closing multi-million-dollar SAP (S/4HANA, BTP) and Data & AI (Databricks, GenAI, ML) transformation deals with Fortune 500 / Global 2000 C-level buyers, with up to 30-40% global travel.
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 12+ years
- Category
- Sales
- Posted
Skills
Must have
- 8-12+ years of quota-carrying enterprise technology sales or client partnership experience at an IT services firm, GSI, or enterprise software vendor
- Proven track record selling SAP implementation, migration, or managed services (S/4HANA, BTP, ECC to Cloud)
- Demonstrated success closing consulting or engineering engagements on modern data stacks, BI, data governance, and applied AI/ML
- Consistent quota attainment ($5M-$10M+ annual bookings/revenue run-rate) with large enterprise deals and 6-12 month sales cycles
- Bachelor's degree in Business, Computer Science, Engineering, or related field
Nice to have
- MBA or equivalent practical experience
- Direct experience with Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Mosaic AI) alongside enterprise SAP environments
- Existing network of C-level decision-makers in target sectors (Manufacturing, Retail/CPG, Financial Services, Life Sciences)
- Prior background at or partnering with major GSIs (Accenture, Deloitte, Cognizant, Wipro, Capgemini) or platform vendors (SAP, Databricks, Snowflake, Microsoft)
Full description
Enterprise Sales Manager / Client Partner - SAP & Data & AI Solutions.Role Title: Enterprise Sales Manager / Client Partner / Senior Account Executive.
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:1. Revenue Generation & Pipeline Growth:
- 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.
2. Client Partnership & C-Level Advisory:
- 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.
3. 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.