- Collaborate closely with product managers, architects, and delivery managers to provide technical knowledge and support.
- Lead the technical vision of the product and work with multi-functional teams to define designs that meet objectives.
- Compile detailed technical designs, refine user stories, and ensure consistency to timelines and resource allocations.
- Identify technical risks and ensure visibility and progress toward mitigating these risks.
- Lead and mentor technical teams while fostering a culture of collaboration, innovation, and accountability.
- Define governance frameworks specific to product development.
- Deliver components of the Service Acceptance Criteria as part of Service Introduction deliverables.
- Ensure alignment with regulatory requirements, data security, and industry standards throughout the development lifecycle.
- Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements.
- Ensure data pipelines and solutions adhere to FAIR principles for enhanced data usability and sharing.
Essential Skills/Experience
- Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions
- Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering
- Good understanding of DevOps and DataOps ways of working
- Shown expertise in product development and/or product management
- Offer technical thought leadership for Data and Analytics and AI products
- Effective communication, partner management, problem-solving skills, and team collaboration
- Hands-on experience working in end-to-end product development with an innovation mindset
- Knowledge of Data Mesh and Data Product concepts
- Experienced in Agile WoW
- Collaborative approach to engineering
- Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools
- Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services
- Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow
- DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live
- Data Storage & Management: Supervise the design and management of data storage systems including Snowflake
- Business Intelligence & Reporting: Lead the development of actionable insights using Power BI
- Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development
- AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker
- Proficient in multiple coding languages such as Python
- Knowledge of database technologies both SQL and NoSQL
- Familiarity with agile methodologies
- Previous involvement in a large multinational company or pharmaceutical environment
- Strong leadership and mentoring skills
Desirable Skills/Experience
- Bachelors or masters degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience.
- Experience working in the pharmaceuticals industry
- Certification in AWS Cloud or any data engineering or software engineering-related certification
- Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios.
- Possess solid understanding of basic prompting techniques and continuously improve these skills.
- Stay up-to-date with developments in AI and GenAI, applying new insights to work-related situations
