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