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.

🔹 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