Abhinav Nerur Raghupathy

Manager, Data Orchestration @Trinity Life Sciences

Marion, IA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Apr 2024 — Present

Manager, Data Orchestration @Trinity Life Sciences

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Marion, IA, US

In my role as Manager of Data Orchestration, I lead Business Intelligence delivery and guide the structure, accuracy, and reliability of reporting used by brand, field, market access, and forecasting teams. I partner with cross functional groups to clarify business questions, align KPI logic, and design reporting views that support commercialization and launch visibility. My leadership style centers on clear communication, expectation setting, and coaching analysts through the reasoning behind each data and reporting decision.Key Contributions: Directed modernization of key dashboards by reshaping layout, refining KPI logic, and improving data validation steps that strengthened trust and adoption across user groups. Guided newly reorganized analysts through structured onboarding and process training that improved delivery consistency and raised overall reporting capability. Led data evaluation work across Snowflake and Databricks environments to improve accuracy, reduce refresh issues, and ensure reliability across commercial workflows. Shaped workflows and intake steps that reduced rework, clarified requirements, and improved coordination between technical and commercial stakeholders.

EDUCATION

2012 — 2016

Amrita vidya vishwapeetham

Bachelor of Technology - BTech, Chemical Engineering

N/A

The University of Iowa Tippie College of Business

Master's degree, Business Analytics

ABOUT ABHINAV NERUR RAGHUPATHY

As a Business Intelligence leader with more than five years of experience in pharmaceutical analytics, I am known for strengthening commercial decisions, improving data quality, and building reporting ecosystems that bring clarity to complex questions across brand, field, and market access teams. My work centers on creating structure from complexity, aligning KPI logic with real business needs, and delivering insights that leadership can act on with confidence. My approach is rooted in transparency, analytical rigor, and calm, steady leadership. I enjoy partnering with cross functional groups to define the problem, clarify the data story, and design reporting that supports commercialization, launch visibility, and long term strategic planning. I believe BI functions are most effective when expectations are clear, data is reliable, and teams understand not only how to deliver but why their work matters to the larger business. I am drawn to roles that require disciplined thinking, strong communication, and the ability to connect data architecture, KPI frameworks, and stakeholder needs. Mentoring analysts has been a core part of my growth, and I focus on building capability through structured guidance, open dialogue, and a commitment to quality at every stage of the reporting lifecycle. Key moments that shaped my impact include: Redesigning a fragmented BI environment into a streamlined reporting ecosystem that improved engagement, strengthened accuracy, and delivered clearer insight for commercial teams. Accelerating delivery speed and operational consistency by defining workflows, building SOPs, and coaching analysts through new expectations and reporting logic. Evaluating data vendors across claims, medical, and EHR sources to guide enterprise data strategy and support long term analytical planning. Designing KPI frameworks and unified reporting views that improved launch visibility and helped cross functional teams understand performance drivers earlier and with greater precision. Translating complex datasets into clear narratives that support brand planning, forecasting, and field execution. I value clarity, collaboration, and thoughtful problem solving, and I bring a structured approach to every initiative. Whether building dashboards, validating datasets, mentoring teams, or aligning business questions with technical design, my goal is to deliver insight that drives action and strengthens commercial performance.

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