Job
Description
Noventiq (Noventiq Holdings PLC) is a leading global solutions and services provider in digital transformation and cybersecurity, headquartered in London. The company enables, facilitates, and accelerates digital transformation for its customers’ businesses, connecting 80,000+ organizations across all sectors with a vast selection of best-in-class IT vendors, alongside its own services and solutions. Noventiq delivered record gross revenue of $1.6 billion for the 12 months to March 31, 2023, an increase of 52% in constant currency. The company’s growth is underpinned by its three-dimensional strategy to expand its markets, portfolio, and sales channels. The strategy is supported by an active approach to M&As which enables Noventiq to take advantage of the ongoing consolidation in the industry. Noventiq's 6,400 employees work in approximately 60 countries throughout Asia, Latin America, Europe, Middle East, and Africa—markets with significant growth potential. One of the largest SI’s in India with revenue close to 700M$ and growing to 900M$. 3500+ Employees in India for India. Total 28 Offices in India across North, South, West & East. 1000+ Resident Engineers across India. 2500+ technical resources in India for India. Technology partnerships with Top 3 Cloud Solution Providers, Top 3 Infrastructure companies, Top 10 Cybersecurity companies. Enviable customer base: 4 of Top 5 Banks, 3 of Top 5 IT companies, 3 of Top 5 BPO’s, 3 of Top 5 Pharma companies. Largest partner to Microsoft with combined infeed of US$600M about 25% of Microsoft India revenues. About The Role Data is no longer a by-product—it's a business enabler. We're looking for a consultative sales leader who can help customers move from traditional data silos to modern, AI-ready platforms. Qualifications And Experience Required Strong understanding of Azure Data Services, AWS Redshift, Databricks, Snowflake, or GCP BigQuery. Experience with enterprise data projects—data lakes, ML model integrations, BI dashboards, semantic modeling. Exposure to industry tools like Power BI, Tableau, Azure ML, OpenAI. Experience with data governance, quality, lineage, and cataloging initiatives. Comfort in navigating large deals involving compliance and transformation mandates. Key Responsibilities Identify and acquire new logos across mid-market and enterprise segments for data modernization. Engage business and IT leaders to reimagine their data strategies—from warehouse migrations to AI-led transformation. Position cloud-native data lakes, lake houses, semantic models, and AI integrations with clear business outcomes. Focus on real-world impact—Customer 360, risk analytics, predictive maintenance, AI copilots, process automation. Run discovery sessions, executive workshops, and partner with solution engineers to design right-fit proposals. Show more Show less
