Business Analyst - AI Content Engine
Novartis Hyderabad, Telangana, India
Pharmaceutical Manufacturing · 10,001+ employees
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About the role
You will drive the strategy and adoption of AI-powered content authoring platforms to accelerate the creation of commercial and medical materials. This role involves managing product backlogs, translating data insights into actionable recommendations, and coordinating across cross-functional teams to ensure successful product rollouts.
What they look for
Requirements
The ideal candidate possesses 5-7 years of experience in product management or content creation with a strong understanding of generative AI applications in life sciences. A bachelor's or master's degree in business, technology, or engineering is required, along with the ability to navigate complex, matrixed organizational environments.
Full description
Job Description Summary
Join Novartis for driving global impact with innovative digital solutions. We are looking for a candidate at the intersection of Product Management discipline, AI, and content creation for life sciences and pharmaceutical industry. As a product expert, you will drive strategy, evolution and adoption of Content Authoring Platforms and AI Content Engine which accelerates the creation of commercial and medical content for HCPs.
Job Description
Key Responsibilities:
- Accelerate content creation, personalize content for different people, and facilitate localization through technology platforms.
- Partner with business leaders to identify, analyze, and solve key challenges, leveraging your expertise to advise on strategic objectives and product roadmap. Roll out the product across different countries.
- Maintain & prioritize product backlog to support the Product Owner with the creation of EPICs, user stories and acceptance criteria.
- Manages solution scope and requirements and brings stakeholders to a common understanding of the requirements.
- Participates in refinement and planning sessions with product team and assists with requirement prioritization.
- Analyzes the impact of the requirements on the system and identifies gaps, contradictions, and inconsistencies.
- Deliver insights that drive Product teams' decisions on strategy and product development.
- Translate data insights into actions and recommendations that will drive product adoption, customer satisfaction, and investment decisions.
Essential Requirements:
- The candidate should understand gen AI, have content creation knowledge, and the ability to engage in in-depth conversations with relevant stakeholders in countries.
- Exposure to content & channels typically used in pharmaceutical and life sciences industry. E.g., Email-based channels and websites, social media and MSL slide decks
- Proven Applied Generative AI experience in real world scenarios to solve problems, create new products, or enhance existing ones, using AI for improving sales & marketing tactics.
- Bachelor’s / master’s degree in business or technology / engineering.
- Overall, around 5-7 years of experience in Product Management and, or Content Creation
- Understanding the complexity of integrated working in a matrix and geographically dispersed environment.
- Plan projects, set schedules, coordinate resources across product, data, and engineering teams, and ensure end-to-end completion, meeting timelines and quality expectations.
- Passion for keeping up to date with the latest in marketing technology and digital marketing trends.
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Desirable Requirements:
- Joint Value Creation: Ability to collaborate effectively to create value for all stakeholders.
- Dynamic, results-oriented team player who contributes positively to team success.
- Exhibit organizational agility, creativity, strategic & strong analytical thinking.
- Excellent presentation skills and storyboarding skills.
Skills Desired
Analytical Thinking, Brand Awareness, Business Analytics, Change Agility, Cross-Functional Collaboration, Digital Marketing, Marketing Strategies, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model
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