AVP Strategic Accounts AI Growth Consultant

Reposted One Month Ago
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Chennai, Tamil Nadu, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Hands-on pre-sales technical lead who designs AI/data solution architectures, builds POCs and reusable assets, authors RFP responses, and transitions solutions to delivery across cloud data platforms, ETL/ELT, and applied ML to drive client outcomes.
Summary Generated by Built In

As part of the Growth organization, this role bridges technical depth with pre‑sales excellence, helping craft high-impact AI and data solutions while collaborating closely with Account Management and delivery teams.
This position is ideal for someone who is hands-on with modern data engineering/ML platforms, and who can translate technical possibilities into compelling business solutions. 

Responsibilities

🔹 AI, Data & Analytics Solutioning

  • Lead hands‑on development of reference architectures, POCs, and solution blueprints across data engineering, cloud data platforms, and applied ML.
  • Work closely with onsite Growth Partners to design scalable AI/analytics solutions aligned to client outcomes.
  • Assess client environments, pain points, and business priorities, then translate these into solution architectures and transformation roadmaps. 

🔹 Pre‑Sales Support & Proposal Development

  • Own the technical components of RFP/RFI responses, solution narratives, cost models, and implementation plans.
  • Build reusable assets (demos, templates, frameworks) to accelerate pre‑sales cycles.
  • Participate in client workshops, requirement discovery, and technical deep‑dives to shape opportunities.

🔹 Data Engineering & Analytics Expertise

  • Provide hands-on expertise across cloud data ecosystems (Azure/AWS/GCP), modern data stacks, ETL/ELT patterns, and data quality frameworks.
  • Support development of accelerators and internal IP, including data pipelines, MLOps workflows, or analytics modules.
  • Work with engineering and analytics teams to size effort, identify risks, and recommend best-practice implementation patterns.

🔹 Collaboration with Onshore Growth Team

  • Serve as the offshore partner to U.S.-based Strategic Account Growth Partners.
  • Align on deal strategies, value propositions, and account expansion priorities.
  • Support creation of client-ready materials: architecture diagrams, impact models, POVs, and technical storytelling artifacts.

🔹 Client Value & Delivery Hand-Off

  • Ensure solution designs transition smoothly into delivery by providing clarity on architecture, dependencies, and success criteria.
  • Participate in early delivery phases (e.g., backlog creation, sprint planning, validation) to ensure solution fidelity.
  • Act as a technical SME during initial implementation cycles to ensure client satisfaction. 
Qualifications

Technical Skills

  • 5–8 years of experience in data engineering, cloud data platforms, analytics, or applied AI/ML.
  • Strong hands‑on experience with:
    • Python / SQL
    • Data pipelines (e.g., ADF, Airflow, dbt, Glue, Databricks, Snowflake, BigQuery, Redshift, Synapse)
    • Cloud architecture (Azure/AWS/GCP)
    • MLOps / model deployment workflows (nice-to-have)
  • Ability to create architectural diagrams, POCs, and performance‑optimized data solutions
  • Prior experience as a Solutions Architect, Data Architect, or Analytics Pre‑Sales Engineer.
  • Strong capability in crafting proposals, presenting technical solutions, and engaging with technical and business stakeholders.
  • Ability to articulate complex technical concepts in simple, value-oriented language.
  • Strong communication and storytelling ability.
  • Ability to collaborate across time zones with account, delivery, and capability teams.
  • High comfort with ambiguity; ability to structure solutions from incomplete or evolving requirements.
  • Experience working with U.S. healthcare clients.
  • Exposure to enterprise AI/ML use cases, data governance, or cloud modernization programs.
  • Certifications in cloud platforms (Azure/AWS/GCP) or Databricks

🔹 Pre‑Sales & Solutioning Skills

🔹 Business & Soft Skills

🔹 Preferred Qualifications

Skills Required

  • 5-8 years of experience in data engineering, cloud data platforms, analytics, or applied AI/ML
  • Python
  • SQL
  • Azure Data Factory (ADF)
  • Airflow
  • dbt
  • AWS Glue
  • Databricks
  • Snowflake
  • BigQuery
  • Amazon Redshift
  • Azure Synapse
  • Cloud architecture experience (Azure, AWS, GCP)
  • MLOps / model deployment workflows
  • Ability to create architectural diagrams, POCs, and performance-optimized data solutions
  • Prior experience as a Solutions Architect, Data Architect, or Analytics Pre-Sales Engineer
  • Experience authoring RFP/RFI technical responses, solution narratives, cost models, and implementation plans
  • Strong presentation, technical storytelling, and stakeholder engagement skills
  • Ability to collaborate across time zones and work with onshore account and delivery teams
  • High comfort with ambiguity and ability to structure solutions from incomplete requirements
  • Experience working with U.S. healthcare clients
  • Exposure to enterprise AI/ML use cases, data governance, or cloud modernization programs
  • Certifications in cloud platforms (Azure/AWS/GCP) or Databricks
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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