Director

About the role

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, translating customer challenges into use cases and progressing opportunities into qualified revenue‑generating deals. The focus is on creating momentum in accounts, shaping opportunities, accelerating deals, and generating revenue with non‑linear revenue models while aligning with the broader sales and go‑to‑market strategy.

Location: United States

Key responsibilities

• Identify and qualify Data & AI opportunities by working alongside sales leaders, internal stakeholders (CTO, platform teams, cross‑functional teams) and customer stakeholders such as CIO, CDAO, CDO, CTO, and Line‑of‑Business heads.
• Engage customers to uncover process inefficiencies, automation potential, and data‑driven use cases; qualify opportunities based on business impact, feasibility, and customer priorities.
• Translate business needs into solutions by defining Data, AI, and Agentic AI use cases (process automation, workflow orchestration, AI assistants, copilots, data‑driven insights, decision support) and aligning them with Evalueserve capabilities across infrastructure, data, and applications.
• Support deal shaping and progression through discovery sessions, workshops, use‑case validation, Proof of Concept / Proof of Value (PoC/PoV), and proposal preparation; collaborate with solution architects and delivery teams to ensure credible, scalable solutions.
• Assist sales leaders during negotiation and deal closure, providing technical and business expertise.
• Clearly articulate Data & AI concepts to both technical and non‑technical stakeholders; support executive discussions by translating AI into business relevance and outcomes.
• Help clients use AI/ML technologies to solve business challenges and design, develop, deploy, and run high‑quality AI/ML solutions across diverse industries.
• Stay current with the latest technology solutions and apply them to real‑world customer problems.
• Collaborate across teams—working closely with Sales leaders, Solution Architects, consulting, and delivery teams—to act as the link between customer needs and internal capabilities and provide field feedback for continuous improvement.

Qualifications

• 20+ years of experience in enterprise specialist sales, pre‑sales, or solution consulting, with a proven ability to support complex, multi‑stakeholder sales cycles and develop opportunities within customer accounts.
• Solid understanding of AI/ML and Generative AI ecosystems, Agentic AI, automation concepts, data platforms, modern data architectures, and cloud environments (Azure, AWS, GCP); ability to engage credibly with both technical teams and business stakeholders.
• Strong discovery and qualification skills; experience translating customer challenges into structured use cases, supporting PoC/PoV initiatives, and progressing deals in collaborative sales environments.
• Excellent communication skills: ability to explain complex topics clearly, confidence engaging operational teams and executives, and strong presentation and storytelling abilities.

Preferred qualifications

• Experience with Data & AI‑driven automation or agent‑based solutions.
• Familiarity with enterprise IT environments (networking, security, workplace, CX, cloud).
• Background in consulting or digital transformation initiatives.
• Hands‑on experience with data platforms and architectures across cloud and on‑premise ecosystems.
• Experience with AI/ML platform technologies and services such as Azure ML, OpenAI, LangChain, AutoML, OCR, speech‑to‑text, feature stores, vector databases, etc.
• Implementation of AI/ML architectural patterns and best practices (e.g., data drift detection, experimentation tracking, Retrieval‑Augmented Generation, deployment models).
• Building and operating cloud‑based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability) on one or more cloud platforms.
• Software engineering and DevSecOps expertise.
• Certifications in cloud or machine learning.
• Experience building PoCs to aid learning and delivering production AI/ML services for scaled end‑user consumption.
• Ability to act as an advisor to CDO, CDAO, or CAI for portfolio customers in Data and AI.
• Experience designing and proposing non‑linear revenue models to customers.
• Responsibility for end‑to‑end RFP and proposal processes (both proactive and reactive) in collaboration with cross‑functional teams.
• Capability to define proactive strategies/plans for each portfolio customer to drive Data and AI growth and consistently achieve quarterly targets and goals.