Manager, Product Management

Job Summary

Position: Manager, Product Management | Location: Hyderabad, India

The Manager, Product Management will play a crucial role in supporting data-driven decision-making processes, generating insights, and providing strategic guidance to optimize business operations across Research and Development Business Insights and Technology. This position requires expertise in forecasting, decision support, research, statistical analysis, real-world data analysis, digital analytics, and measurement. The Product Manager will collaborate with cross-functional teams and utilize advanced analytical techniques to enhance business performance and drive growth.

Responsibilities

• Acting as primary liaison between the cross-functional teams and all the stakeholders. The person in this role must make sure the information flow is quick and clear so that there is no misinterpretation.
• Communicate with all stakeholders and come up with right KPIs for the project success.
• Drives ROI and Values.
• Collaborate with stakeholders to understand business objectives and identify opportunities for the application of generative AI solutions.
• Being responsible for maximizing the value of the product and the work of the Development Team. Take input from all stakeholders funnels through him or her to guide in the creation and prioritization of the Product Backlog.
• Providing clear understanding of what those items mean (in both function and value) aids in maximizing the efforts of the Development Team.
• Works closely with Product owners and technical leads to ensure clean and clear requirements and smooth delivery.
• Maintaining the team backlog - With input from TechLead/Architect/Engineering (Development) Team and other stakeholders.
• Product Manager reviews and reprioritizes the backlog as part of the prep work for Sprint Planning, including coordination of dependencies with other Projects.
• Communicates story details and priorities and ensures the team aligns and agrees on a final iteration plan.
• Ensure that AI solutions adhere to regulatory guidelines and BMS standards, addressing any compliance issues.
• Experience in Visualize the Business Process Flows using Visualization Tools - MS Visio or Lucid Chart etc. ,
• Work closely with developers as part of the agile development team to translate user stories to working applications.
• Manage user acceptance testing, training, and change management associated with roll out of automation solutions.
• Prepare Techno - Functional User Manuals for end users.
• Develop and maintain business requirements, user stories, and other documentation as required by BMS Standard Operating Procedures (SOPs) and software validation processes.
• Provide functional guidance to developers, testers, and other stakeholders to ensure that technological solutions are implemented correctly and are maintained effectively throughout their lifecycle.
• Stay up to date with emerging technologies and industry trends and act as a catalyst and champion for innovation in Life Sciences Industry
• Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations.
• Prepare reports, dashboards and presentations to communicate findings, insights and recommendations to stakeholders at various levels of the organization
• Stay up to date with industry trends, best practices, and emerging technologies
• Provide training, guidance and mentorship when required

Qualifications

• 4-7 years of hands-on experience in business analysis, process mapping, solution development and delivery for AI ML Technologies in Automation
• Knowledge of software development life cycle (SDLC) methodologies, experience with agile development methodologies
• Good to have knowledge of Python and cloud services.
• Good knowledge of Drug Development processes and workflows starting from SRA to Protocol Design and beyond.
• Knowledge of AI/ML/ Gen AI solutions desired (e. g. , Data science projects, AI, ML, NLP, Generative AI (OpenAI, GCP Vertex AI, Claude and other LLMs))
• Hands-on experience in creating quick prototypes to demonstrate proof-of-concepts using HTML, Figma or LLMs such as Claude
• Experience in working with real-world data (including clinical and healthcare), large datasets, data visualization tools.
• Domain (Pharma background must) - Possessing general awareness and knowledge of regulatory, legal, or quality requirements (e. g. , privacy regulations, GxP) impacting the business, and ensuring solution requirements include appropriate key points.
• Strong understanding of generative AI concepts and technologies.
• Familiarity with agile development methodologies
• Excellent analytical, problem-solving, and decision-making skills
• Excellent interpersonal, communication, and presentation skills
• Ability to work collaboratively with cross-functional teams and stakeholders.