Director

Evalueserve

  • Raleigh, NC
  • 3 days ago

    Highlights

    Work alongside sales leaders, internal stakeholders (CTO, platform teams and cross functional teams) & customer stakeholders like CIO, CDAO, CDO, CTO and LoB Heads to detect and develop opportunities within the accounts. As a Leader Specialist Sales - Data & AI Solutions, you will support the growth of our Data and AI business by working closely with sales leaders to proactively identify, qualify, and develop Data & AI opportunities across existing and new clients.

    Numbers & Facts

    LocationRaleigh, NC

    Description

    Leader Specialist Sales - Data & AI Solutions

    Report To: Head of Data & AI

    Department: Data & AI

    Location: United States

    Job Summary

    As a Leader Specialist Sales - Data & AI Solutions, you will support the growth of our Data and AI business by working closely with sales leaders to proactively identify, qualify, and develop Data & AI opportunities across existing and new clients. You will act as the Data and AI subject matter specialist in the field, helping translate customer challenges into use cases and progress opportunities into qualified revenue generating deals. Your focus is on creating momentum in accounts, shaping opportunities, accelerating deals, and revenue generation with non-linear revenue models while aligning with the broader sales and GTM strategy.

    Key Responsibilities

    Identify and qualify Data & AI opportunities

    Work alongside sales leaders, internal stakeholders (CTO, platform teams and cross functional teams) & customer stakeholders like CIO, CDAO, CDO, CTO and LoB Heads to detect and develop opportunities within the accounts. Engage customers to uncover process inefficiencies, automation potential, and data-driven use cases. Qualify opportunities based on business impact, feasibility, and customer priorities, and turn early-stage discussions into structured, actionable revenue generating opportunities

    Translate business needs into solutions

    Define Data, AI and Agentic AI use cases aligned to customer challenges, including process automation, workflow orchestration, AI assistants and copilots, and data-driven insights and decision support. Connect use cases to Evalueserve capabilities across infrastructure, data, and applications, ensuring alignment between business needs and technical possibilities.

    Support deal shaping and progression

    Contribute to advancing opportunities through discovery sessions and workshops, use case validation, Proof of Concept / Proof of Value (PoC / PoV), and proposal preparation. Work with solution architects and delivery teams to ensure credible and scalable solutions and support sales leaders during negotiation and deal closure.

    Position Data & AI in client conversations

    Clearly articulate Data & AI concepts to both technical and non-technical stakeholders. Support executive discussions by translating AI into business relevance and outcomes and help customers move from Data & AI interest to concrete initiatives. How to help clients to use AI/ML technologies to solve business challenges. How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organizational challenges. Master the latest technology solutions from industry and how to apply them to solve real world customer problems.

    Collaborate across teams

    Reporting to the Head of Data & AI, you will work closely with Sales leaders, Solution Architects, and consulting and delivery teams. Act as the link between customer needs and internal capabilities and provide field feedback to continuously improve positioning and offerings.

    What you bring

    Experience

    20+ years in enterprise specialist sales, pre-sales, or solution consulting. Experience supporting complex, multi-stakeholder sales cycles, with a proven ability to identify and develop opportunities in customer accounts.

    Technical Understanding

    Solid understanding of AI/ML and Generative AI ecosystems, Agentic AI and automation concepts, data platforms and modern data architectures, and cloud environments (Azure, AWS, GCP). Ability to engage credibly with both technical teams and business stakeholders.

    Sales & Consulting Skills

    Strong discovery and qualification skills, ability to translate customer challenges into structured use cases, experience supporting PoC/PoV initiatives and progressing deals, and comfort working in collaborative sales environments.

    Communication

    Ability to explain complex topics in a clear and structured way, confidence engaging with both operational teams and executives, and strong presentation and storytelling skills.

    Nice to have

    Experience with Data & AI-driven automation or agent-based solutions, familiarity with enterprise IT environments (networking, security, workplace, CX, cloud), and a background in consulting or digital transformation initiatives.

    Your background

    • Data platforms and architectures across Cloud and On premise ecosystems

    • AI/ML platform technologies and services such as Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, …

    • Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models

    • Building and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA, …) on one or more cloud platforms. SW Engineering and DevSecOps

    • Bonus point if you…

    • Certified cloud Machine Learning

    • Building PoCs to aid learning

    • Experience of delivering production AI/ML services for scaled end user consumption

    • Act as advisor to CDO, CDAO, CAI for each of your portfolio customers in Data and AI

    • Build and propose Non-Linear revenue models to customers

    • Responsible for RFP/ end to end proposals (Proactive and Reactive) to customers by working with cross functional teams

    • Define Proactive strategy / plan for each of your customers in the portfolio for Data and AI growth.

    • Achieve the targets / goals on quarterly basis consistently

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