Manager, Technology Product Management – Data & Insights
Job location
Titusville, United States of America
Type
Full Time
Responsibilities:
Along with the Technical Product owner, define and communicate to key partners the product vision and strategy, including new features and improvements for products in the Data & Insights portfolio. They will identify and prioritize product features backlog in alignment with business strategy.
Define business value, measurement of return on investment, and realization of business outcomes. They will own and manage the total cost of ownership, including spending on vendors and services throughout the product life cycle.
Drive and measure adoption, retention, and customer satisfaction of Data Analytics products.
Coach business and technical product owners on product management standard methodologies to ensure consistency across the product.
Serve as Technical Product Owner for various commercial analytics products, responsible for shaping new and existing capabilities and products in close partnership with the business product owner, data management, and data science teams.
Define the standards for the product, including overall design and features, development standards, release management processes and schedules, testing/validation, and compliance.
Lead analytics capabilities roadmap in line with business & BTL prioritization, enabling capabilities & new services.
Develop and lead project plans and all areas related to project management.
Accountable for application support of analytics platforms via Service Level Management with Application Service teams.
Collaborate with data engineers and data scientists to build scalable data engineering, data science, AI, and GenAI solutions.
Utilize Agile methodology to work with business partners to define and translate business needs into user stories, prioritize product backlog, and define sprint plans.
Partner with Technology Services (TS) teams on demand planning, effort, timing, delivery, and support of new demand.
Implement data and insights solutions using AWS or Azure cloud stack components, AI, GenAI capabilities, and advanced analytics toolsets.
Perform source data analysis, data discovery and collaborate with business and peer teams to synthesize the business rules required for data acquisition and creation of information with context association.
Ensure successful business product owner engagement and completion of user acceptance testing.
Provide technology leadership and deliver Commercial Data & Insights solutions for Sales & Marketing, Market Access, and Medical functions, driving business adoption.
Drive continual measurement of capabilities against demand volume, complexity, business challenges, and improvement within value stream(s).
Focus on Business agility, agile product delivery with a fail-fast approach, and measurable outcomes.
Drive product health, technical quality, development, and support services through consistent metrics reporting.
Manage the lifecycle of products and complete upgrade/decommission strategy as appropriate.
Requirements & Skills:
A bachelor’s degree in computer science, Information Technology, Information Systems, Statistics, Data Science, or an equivalent field of study. A master’s degree is preferred.
A minimum of 5 years of diverse experience in data and insights technology product development.
A minimum of 3 years proven experience leading mid-large data & insights product teams, delivering results, demonstrating leadership, influencing skills, and interdependent partnering skills
A minimum of 3+ years of diverse experience in designing and implementing data engineering and data science solutions in a fast-paced environment.
Experience in data engineering, data science, AI, and GenAI capabilities and how to apply them for business transformation.
In-depth knowledge and experience in delivering solutions using LLM, AI Agents, and GenAI capabilities to support business transformation.
Effective communication and critical thinking skills, creative and flexible problem solving, and process focus.
Demonstrated ability to exercise good judgment in high-pressure, critical situations with attention to detail.
Strong interpersonal skills and the ability to communicate effectively, strategically, and authoritatively with internal partners to develop ideas, find opportunities, and influence outcomes.
Consistent record of delivering projects efficiently with ambitious timelines.
Demonstrable experience crafting technical solutions for business problems; understands both business processes and technical solutions.
Hands-on experience in cloud technologies and expertise in AWS or Azure Tech stack is required.
Expertise in data management, data modeling, large data lake platforms, and BI visualization technologies such as Tableau and Power BI.
Pharmaceutical or Life sciences/health care industry experience.
Extensive knowledge of commercial pharma business processes like field alignment, call planning, sales reporting, Medical Affairs, and patient data.
Experience with a wide array of pharmaceutical data, including but not limited to Patient Access Services, sales and marketing syndicated data, CRM, digital, lab, hub, claims, specialty pharmacy, etc.
Agile development experience, SDLC methodology, risk management including information security, and solid understanding of JIRA.
Experience in working in CI/CD framework and DevOps mode for data science and data engineering solutions.
