DD&T Customer 360 Product Owner

Role Summary

DD&T Customer 360 Product Owner

Responsibilities

• Shape and implement Customer 360 product strategic engagement vision across U.S. stakeholders leveraging data, digital, and technology to deliver according with the company’s value creation framework
• Partner and engage with commercial stakeholders across all U.S. business units to understand customer engagement strategies and tactics
• Develop and implement a strategy for launching and scaling the USBU Customer 360 Data Product providing all interaction data as an integrated view available to USBU and enterprise consumers
• Take accountability for engagement data in the company ecosystem leveraging and enforcing operating model inclusive of external providers and internal process and system owners
• Proactively improve and deliver trusted, high-quality customer data to consuming systems for execution and analytics
• Drive implementation and ongoing operations of data quality for the product ensuring best practices and systems to proactively identify and resolve issues for establishing confidence and driving awareness
• Effectively govern interaction data pertaining to the various data domains via common frameworks and agreed upon patterns and tools
• Serve as the central point of contact to data consumers
• Support Insights & Analytics teams as data product customers to harmonize digital analytics and insights
• Partner closely with Next Generation Engagement on Omnichannel strategies and tactic enablement
• Collaborate with Data, Digital & Technology partners and SMEs within the Enterprise to exploit innovative customer data opportunities
• Liaise with change management SMEs to develop clear and compelling training or communication materials to propel change initiatives
• Up to 10% domestic travel required. Up to 60% remote work allowed

Qualifications

• Master’s degree in Biotechnology, Biochemistry, or related field, plus 4 years of related experience
• Experience implementing HCP 360 (HCP Master) solutions for Oncology brands by integrating pharma commercial datasets including IQVIA Claims, Customer, Product, Sales, Activity (Veeva) and marketing data using Python, PySpark, AWS Cloud and Dataiku
• Experience building data engineering & machine learning pipelines using customer digital engagement data (Veeva, Adobe, Google Analytics, Banner Ads, Emails, media, and social)
• Experience implementing data quality checks, developing comprehensive reports to monitor data trends for ML models, and implementing automation to optimize Omnichannel Product solutions
• Collaborate with pharma commercial business teams, external vendors/agencies, and product teams to support contracting, chargeback/rebate processing and price reporting operations
• Partner with Model N product team to enhance product platform, features, and prioritize new functionalities through change management using agile/waterfall methodologies
• Design and develop front-end interfaces, backend systems, data models, and data warehouse reporting solutions to integrate upstream and downstream systems using Informatica, Oracle, Tableau and Python
• Experience in life sciences, healthcare, or pharma commercial domain

Skills

• Data product management
• Omnichannel engagement and data-driven strategy
• Data governance and quality management
• Stakeholder collaboration and change management
• Technical proficiency in Python, PySpark, AWS, Dataiku, Informatica, Oracle, Tableau
• Strong communication and training material development

Education

• Master’s degree in Biotechnology, Biochemistry, or related field

Additional Requirements

• Up to 10% domestic travel
• Remote work up to 60% allowed