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Client Director (Hunter) - Data & AI - Manufacturing

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Onsite

Client Director (Hunter) - Data & AI - Manufacturing

Evalueserve

Client Director (Hunter) - Data & AI - Manufacturing

Skills

Google Cloud PlatformBig DataData EngineeringSnowflakeDatabricksData AnalysisMachine LearningAIAWSCRMDigital TransformationAzure

3 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

9 August 2026

What they need


Client Director – Hunter Sales

Reports To: Vice President

Role: Full time, Individual Contributor

Department: Sales

Location : Remote – United States

Evalueserve is a global leader in AI‑enhanced managed services, driving operational efficiency and scalability for top financial institutions. With 5,000 specialists worldwide, we combine deep domain expertise with AI and automation embedded directly into client workflows to deliver up to 40% productivity gains.

Today, over 100 financial institutions partner with us—including 6 of the 10 largest global corporate and investment banks, leading asset managers, private markets firms, and regional players across North America, Latin America, EMEA, MENA, and APAC. We bring deep expertise across the deal lifecycle, credit lending operations, investment research, quantitative investment strategies, risk management, and more. Our solutions are regularly recognized by industry analysts such as Forrester, Chartis, and Everest Group.

Job Summary:

We are seeking a high-impact, results-driven Sales Leader with a demonstrated ability to win net-new enterprise business within the Data, Analytics, and AI landscape. This individual will play a critical role in accelerating revenue growth, expanding our market presence, and establishing strategic client relationships across target industries.

The ideal candidate brings a strong track record of enterprise sales success, deep C-suite relationships, and significant experience selling Data & AI solutions, Analytics, Cloud, Digital Transformation, or Technology Consulting services. They will be responsible for developing and executing growth strategies, building a robust sales pipeline, opening new logos, engaging executive stakeholders, and closing large-scale transformational engagements.

Key Tech/Domain Focus: Generative AI & LLMs, Data Intelligence Platforms (Databricks, Snowflake, AWS, Azure), AI Data Services (Annotation/Ops), Analytics, and Agentic Workflows.

Key Responsibilities

  • New Logo Acquisition & Pipeline Generation
  • Drive relentless outbound prospecting to identify and secure net-new logos within strategic enterprise target accounts
  • Own the entire sales cycle, from cold outreach and initial pitch to proposal creation, pricing strategy, negotiation, and final closure.
  • Leverage and aggressively expand your existing network of decision-makers in the AI, cloud, and big data spaces
  • Consultative & Value-Based Selling
  • Translate emerging AI concepts (e.g., LLMs, Agentic AI, vector databases) into tangible business outcomes and ROI for non-technical C-level executives
  • Partner with Solutions Architects and Pre-Sales teams to customize highly technical data architectures, data engineering, and AI solutions to match specific customer use cases
  • Formulate and present world-class proposals, responding effectively to RFPs and RFIs
  • Partner & Channel Orchestration
  • Collaborate closely with technology partner ecosystems (e.g., AWS, Microsoft, Snowflake, Databricks, Google Cloud) to drive co-selling motions and access whitespace accounts
  • Maintain impeccable pipeline hygiene and forecasts within CRM tools

Required Qualifications

  • Experience: 15+ years of quota-carrying B2B enterprise professional consulting sales experience, with a solid 3+ years specifically selling Data & AI solutions
  • Proven Track Record: Consistent history of exceeding sales quotas and closing net-new business in a fast-paced environment
  • Executive Presence: Prior success in building relationships and negotiating contracts with CIOs, CDOs, and CTOs.
  • Domain Expertise: Clear ability to articulate complex cloud computing, big data architecture (Lakehouse/Data Mesh), analytics platforms, and AI/ML ecosystems
  • Experience managing multimillion-dollar opportunities and long sales cycles.
  • Bachelor's degree required; MBA preferred.

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