Lead the design and implementation of advanced Power BI solutions integrated with Generative AI technologies. Collaborate with stakeholders to translate business requirements into scalable data architectures and actionable insights. Mentor teams to drive data-driven decision-making and innovation 

Must have skills & competencies: 

Technical:  

Power BI Expertise: Overall experience of 15+ years with 8+ years of proficiency in Power BI /MSBI for data visualization, report creation, and dashboard development. Skills in data modeling, DAX (Data Analysis Expressions), and performance optimization are crucial 

 

Generative AI Knowledge: Understanding of Generative AI technologies, including integrating large language models (LLMs) and APIs into applications. Familiarity with AI frameworks and tools is important. Strong experience (or knowledge) of Power BI CoPilot or Gen AI / OpenAI/Claude etc. 

 

Data Management: Strong skills in data management, including data storage, retrieval, and optimization. Knowledge of Retrieval-Augmented Generation (RAG) architecture and vector databases is beneficial 

 

Analytical and Problem-Solving Skills: Ability to analyze complex data sets and derive actionable insights. Strong problem-solving skills to address technical challenges and optimize solutions 

 

Technical Proficiency: Expertise in a range of BI and hosting technologies like the AWS stack, Azure & Snowflake. He/she can work on multiple project streams for a client and apply pharma domain knowledge for better business decision making especially around Cloud Data Warehouse  

Domain: 5+ years of Pharma Domain experience in Commercial or Patient areas. 

 

Presales Experience: RFP response and proactive proposal writing and presentation experience for medium and large pharma companies  

 

 

Behavioral:  

 

Collaboration and Communication: Excellent communication skills to work with stakeholders, translate business requirements, and mentor teams. Ability to collaborate effectively across different departments 

Leadership: Ability to lead and inspire teams, drive innovation, and ensure project goals are met. Foster a collaborative and productive work environment. 

 

Problem-Solving: Proactive approach to identifying and resolving issues. Strong analytical skills to navigate challenges and implement effective solutions 

Adaptability: Flexibility to adapt to changing technologies and business needs. Staying current with industry trends and integrating new tools and methodologies is crucial 

 

Attention to Detail: Meticulous attention to detail to ensure accuracy and quality in data analysis and reporting. Precision is key in delivering reliable insights 

 

Good to have skills & competencies: 

Technical: Experience with back-end technologies like Python, Node.js, or Java for designing robust architectures. Front-end skills in HTML, CSS, and JavaScript frameworks (e.g., React, Angular) are also valuable 

 

Familiarity with other BI tools (e.g., Tableau, QlikView) is advantageous. 

 

 

 

Behavioral:  

Creativity: Ability to think outside the box and develop innovative solutions. Creativity can lead to unique approaches in data visualization and AI integration 

 

Curiosity: A strong desire to learn and stay updated with the latest trends and technologies. Curiosity drives continuous improvement and adaptation 

 

Resilience: Ability to handle setbacks and challenges with a positive attitude. Resilience ensures persistence in achieving project goals despite obstacles 

 

Conflict Resolution: Skills in resolving conflicts and maintaining a harmonious work environment. Effective conflict resolution fosters teamwork and collaboration 

 

Strategic Thinking: Ability to see the big picture and align projects with organizational goals. Strategic thinking ensures that solutions are not only technically sound but also aligned with business objectives