AVP Strategic Accounts AI Growth Consultant
At a glance
Mid-level Account Management role at Fa Ewjt Saasfaprod1. Chennai · full-time.
Pay not stated Account Management salary
growthroles summary, based on the employer's posting.
What you'll do
- Lead reference architectures, proof-of-concepts, and blueprints for data engineering, cloud platforms, analytics, and applied machine learning
- Turn client environments, pain points, and priorities into architectures and transformation roadmaps
- Own technical content for RFPs and RFIs, including solution narratives, cost models, and implementation plans
- Partner with U.S.-based growth counterparts on deal strategy, account expansion, value propositions, and client materials
- Carry solution designs into early delivery through backlog planning, validation, and technical guidance
What you bring
- Bring five to eight years in data engineering, cloud data platforms, analytics, or applied AI and machine learning
- Work hands-on with Python, SQL, data pipelines, and at least one of Azure, AWS, or GCP
- Have prior experience as a solutions architect, data architect, or analytics pre-sales engineer
- Can create architecture diagrams and proofs-of-concept while presenting complex technical ideas in business terms
- Have experience working with U.S. healthcare clients
Who this fits
You’ll suit a technically hands-on pre-sales professional who can connect data and AI solution design with account growth. The role is based in Chennai with a hybrid arrangement and requires collaboration across time zones with U.S.-based growth partners, account teams, delivery, and capability groups.
From the employer
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.
🔹 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.
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
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