Senior Sales Manager – Data & Analytics

eClerx

5h•$200,000 - $250,000•Remote

About The Position

We are seeking a high-performing Data & Analytics Sales professional to drive revenue growth by helping clients unlock business value from data. This role focuses on selling analytics, data engineering, AI/ML, and insight-led solutions to senior business and technology stakeholders. The ideal candidate understands how data and analytics translate into measurable business outcomes and can navigate complex, consultative sales cycles

Requirements

8–15+ years of experience in B2B enterprise sales, with a strong focus on Data & Analytics, AI, or Digital Transformation.
Proven track record of selling complex, consultative solutions (typically $2M+ in gross sales / year).
Strong understanding of: Data platforms (cloud, data lakes, warehouses) BI, analytics, and AI/ML concepts Analytics operating models and governance
Ability to articulate business value, not just technology.
Experience working with cross-functional delivery and technical teams.
Excellent communication, negotiation, and executive presence.

Nice To Haves

Experience selling to at least two different industries (e.g., Banking &Financial Services, Manufacturing & Distribution, Retail CPG, Healthcare).
Familiarity with cloud ecosystems (AWS, Azure, GCP).
Experience with analytics platforms and tools (e.g., Snowflake, Databricks, Power BI, Tableau).
Prior experience in consulting or professional services environments.

Responsibilities

Own and grow a Data & Analytics sales pipeline across new and existing accounts.
Drive end-to-end sales cycles: prospecting, discovery, solutioning, negotiation, and closure.
Consistently meet or exceed revenue, pipeline, and margin targets.
Engage with C-suite, business leaders, and senior technology stakeholders (CDO, CIO, CTO, Heads of Analytics).
Lead value-based conversations around: Data modernization and cloud analytics Advanced analytics, AI/ML, and GenAI Business intelligence and decision support Data governance, quality, and compliance
Translate client challenges into compelling analytics-led value propositions.
Partner with solution architects and delivery teams to design scalable, outcome-driven solutions.
Shape multi-year, multi-service analytics deals including consulting, managed services, and platforms.
Develop business cases, ROI narratives, and executive presentations.
Build trusted advisor relationships with key stakeholders.
Identify cross-sell and upsell opportunities across data, analytics, and adjacent digital services.
Maintain strong account plans aligned to client priorities.
Stay current on analytics, AI, cloud platforms, and industry trends.
Bring industry-specific insights (e.g., Banking, Healthcare, Retail, Life Sciences, Manufacturing).
Provide feedback to product and solution teams based on market demand.