Business analyst with Life Sciences Domain - South San Francisco, CA (Hybrid)
Praveen Jayathi
- Data Product Strategy & Roadmap Development:
- Strategic Visioning: Expert in developing end-to-end product strategies and multi-year roadmaps using design thinking and date-driven methodologies.
- Value Realization: Proven ability to identify and execute high-impact initiatives, such as Data Lake Projects that delivered over $2 million in annual savings.
- Stakeholder Management: Experienced in facilitating workshops and managing expectations for leadership, third party vendors and cross platform teams.
- Resource & Budget Planning: Skilled in planning long-term data solutions, managing implantation budgets and securing resource alignment.
- Technical Data Architecture & Cloud Infrastructure:
- Cloud Ecosystems: Strong technical proficiency in Cloud Migration and managing data environments within AWS, Azure, etc.
- Data Lake & Warehouse Design: Experienced in the design and implementation of Data Lake platforms, including snowflake schemas, multi-dimensional OLAP models and medallion architecture
- ETL & Performance Optimization: Deep knowledge of optimizing data pipelines and query execution to ensure scalable data products
- Advanced Analytics Collaboration: Act as a technical liaison for AI/ML and Data Science teams, defining specific data requirements for complex predictive models.
- Commercial Pharma Domain Expertise:
- Commercial Operations: Specialized knowledge of the Commercial, Medical and Government data landscape, including Sales, Marketing and Market Access.
- Master Data Management (MDM): Proficient in partnering with MDM teams to manage HCP/HCO records and ensuring data integrity across disparate sources
- Compliance & Data Governance: Experienced in managing data documentation from a strict governance perspective, essential for highly regulated life sciences industry
- Vendor Management: Skilled in managing external vendor relationships for data onboarding and ensuring the quality of third-party data feeds.
- Agile Product Delivery & Lifecycle Management:
- Agile/Scrum Leadership: Expert in leading cross-functional teams using Agile and Scrum methodologies, managing backlogs, and tracking progress via JIRA and Confluence.
- Requirement Orchestration: Highly skilled in translating complex business needs into functional specifications, user stories, and technical process flows.
- Data Quality & UAT: Rigorous approach to data consistency, including leading Root Cause Analysis (RCA) for data issues and overseeing User Acceptance Testing (UAT).
- Efficiency Driver: Focused on process gap analysis to eliminate human error and reduce operational turnaround times.
5. Business Intelligence & Data Storytelling:
o BI Platform Modernization: Expert in modernizing legacy reporting environments into interactive platforms using Power BI, Tableau, and QlikView.
o Insight Generation: Capable of transforming raw data into specialized visualizations that track key commercial KPIs and drive executive-level decision-making.
o Change Management: Experienced in providing ongoing support and training to end-users to ensure high adoption rates for new data products.
Some of the Key Commercial Data Products / Project this Senior Business Analyst or Senior Technical Data Product Owner has undertaken in last one year:
1. DTP (Direct-to-Patient):
o This program is a specialized distribution model where medications are shipped directly from Online Pharmacies to patient's home. Also, allowing patients with no insurance or zero coverage to get the medications at a discounted out of pocket cost.
2. Brand Affiliations:
o This project provides the complex mapping of relationships between HCPs, HCOs and specific brands they interact with. The goal was to provide a "single source of truth" to ensure that when a Sales Rep or Marketing campaign targets an HCP, they know their professional environment and prescribing strength.
3. Patient Data Stewardship:
o The goal for the project was to onboard anonymized patient level data from multiple SPs (Specialty Pharmacies) to ensure it is accurate, compliant and ethically used to drive commercial insights.
4. HCP 360:
o This was one of the Data Products. It is a comprehensive, data-driven strategy to provide 360 or "all-around" view of a physician. It integrates fragmented data points from various subject areas - Sales, Medical Affairs, Market Access, into a single, unified profile.
5. PMR (Primary Market Research):
o The goal was too onboard PMR datasets into Dala Lake Platform and create a data product that would provide insights to the end user and allowing the end user to submit the query in the natural processing language to gain insights.