Job Description

Locations

• Hyderabad, India

Salary

Salary not disclosed

Skills Required

• Must-Have Skills: Experience with Agile software development methodologies (Scrum)intermediate
• Must-Have Skills: Excellent communication skills and the ability to interface with senior leadership with confidence and clarityintermediate
• Must-Have Skills: Strong understanding of AI/ML concepts, LLMs, and enterprise AI applicationsintermediate
• Must-Have Skills: Hands-on experience with automation platforms (e.g., UiPath, Power Automate, or equivalent low-code/no-code tools)intermediate
• Must-Have Skills: Experience developing POCs and pilots that transition into production systemsintermediate
• Must-Have Skills: Strong stakeholder engagement and communication skillsintermediate
• Good-to-Have Skills: Experience in managing product features for PI planning and developing product roadmaps and user journeysintermediate
• Good-to-Have Skills: Familiarity with low-code, no-code test automation softwareintermediate
• Good-to-Have Skills: Technical thought leadershipintermediate
• Good-to-Have Skills: Able to communicate technical or complex subject matters in business termsintermediate
• Good-to-Have Skills: Jira Align experienceintermediate
• Good-to-Have Skills: Knowledge of network security protocols and tools (e.g., IPSEC, SSL, IDS/IPS, firewalls)intermediate
• Good-to-Have Skills: Experience of DevOps, Continuous Integration, and Continuous Delivery methodologyintermediate
• Good-to-Have Skills: Knowledge of cloud environments (AWS, Azure, GCP)intermediate
• Good-to-Have Skills: Awareness of responsible AI practicesintermediate
• Good-to-Have Skills: Experience in biotech, pharma, or other regulated industriesintermediate
• Soft Skills: Excellent analytical and gap/fit assessment skillsintermediate
• Soft Skills: Ability to work effectively with global, virtual teamsintermediate
• Soft Skills: High degree of initiative and self-motivationintermediate
• Soft Skills: Team-oriented, with a focus on achieving team goalsintermediate
• Soft Skills: Ability to work independently in a small, cross-functional teamintermediate
• Soft Skills: Strong problem-solving and analytical skillsintermediate
• Soft Skills: Flexibility to manage multiple priorities and wear multiple hatsintermediate
• Soft Skills: Excellent written and verbal communication skillsintermediate
• Soft Skills: Team-oriented with a collaborative mindsetintermediate

Required Qualifications

• Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field AND 5+ years of relevant work experience (experience)
• Experience in Life Science/ Biotechnology/ Pharmacology/ Information Systems experience is an added advantage (experience)
• SAFe for Teams certification (preferred) (experience)

Responsibilities

• Conduct AI risk assessments and architecture reviews
• Support technical configuration and administration of AI platforms
• Evaluate AI architectures and LLM offerings during RFP/RFI processes
• Leverage internal AI capabilities (e.g. ChatGPT) to meet business needs
• Interface with external AI suppliers and vendors
• Design and execute POCs and pilots to test AI/automation use cases
• Support the development of business cases to justify investment in new AI solutions
• Partner with architects, product managers, and engineers to transition POCs into production
• Lead automation initiatives and build low-code/no-code automations to streamline workflows
• Identify opportunities for efficiency and implement data-driven solutions
• Capture the voice of the customer to define business processes and product needs
• Work with Product Managers and customers to define scope and value for new developments
• Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog
• Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs
• Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team
• Clearly express features in User Stories/requirements so all team members and stakeholders understand how they fit into the product backlog
• Ensure Acceptance Criteria and Definition of Done are well-defined
• Develop and execute effective product demonstrations for internal and external stakeholders
• Maintain accurate documentation of configurations, processes, and changes

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