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AVP Strategic Accounts AI Growth Consultant

EXL Service -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Qualifications

Azure
Cloud architecture
SQL
AWS
Redshift
AI
Communication skills
Python
Analytics

Full job description

Job Description: 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

Apply Now

Refine Your Search

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