Role summary

We are hiring a senior Revenue Leader to scale our Data Services vertical with full P&L; ownership. The leader will define and execute the GTM, drive new logos and expansion, lead presales and solutioning, and oversee delivery governance to ensure profitable growth. Microsoft Fabric is the primary platform focus, supported by Snowflake, Databricks, Power BI, Tableau and the broader Azure data ecosystem.

Key responsibilities

- Own P&L; for Data Services: revenue, margins, utilization, forecasting, and delivery economics.
- Define and execute GTM strategy (USA-first) with Fabric-led offerings and clear differentiation.
- Drive sales execution: new logo acquisition + cross-sell/upsell into existing accounts; build predictable pipeline and forecast.
- Own presales excellence: discovery, proposals/RFPs, solutioning, estimations, POVs/demos, pricing and commercials.
- Oversee delivery governance: ensure quality, timelines, and margin protection; reduce leakage and improve realization.
- Build and scale the practice: hiring plan, team structure, capability development, certifications, accelerators.
- Enable the broader sales team: playbooks, training, talk tracks, case studies, joint account plans.
- Enable partner ecosystem system to generate 25% of new revenue in next 18 months

Must-have requirements





- Proven leadership experience in Data & Analytics services within IT services / consulting organizations.
- Robust USA market selling experience; executive stakeholder management and consultative selling.
- Track record of scaling a practice/vertical and owning revenue targets (preferably multi-million $).
- Strong Microsoft data ecosystem knowledge (Azure Data + Power BI); Fabric-led experience preferred.
- Ability to shape end-to-end solutions and commercials; strong proposal and estimation discipline.
- Strong operating rhythm: pipeline governance, forecasting, dashboards, and KPI ownership.

Good-to-have

- Microsoft partner ecosystem (co-sell / programs / field relationships) and partner-sourced pipeline experience.
- Exposure to Snowflake and/or Databricks services motion.
- Experience with recurring revenue / managed services models and packaged offerings.
- Experience with AI-ready data foundations, governance, and modern lakehouse patterns.

Success metrics

- Revenue & bookings: 100% growth in 12 months; sustained ~50% YoY growth trajectory.
- Pipeline coverage, win rate, cycle time, and forecast accuracy.
- Gross margin, rate realization, utilization, and delivery quality/CSAT.
- Partner-sourced pipeline and co-sell wins (Microsoft Fabric-led)

📌 Data Services- Practice Head (Madhya Pradesh)
🏢 Beyond Key
📍 Madhya Pradesh