Business Analyst, R&D Portfolio Operations Business Insights & Technology (BI&T)

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Position Summary:

The Manager, Business Solutions Analyst, is a key member of the R&D Portfolio & Program Excellence product line within R&D Portfolio Operations BI&T. This role serves as the technical and analytical partner to product owners, program leaders, and IT delivery teams—turning business needs into scalable, high‑quality digital capabilities that enable effective portfolio governance, program management, RAID/risk tracking, and connected workflows across the R&D ecosystem.

This role owns the end‑to‑end analysis and functional solution design lifecycle across R&D Project, Risk, and Resource Management capabilities and their integrations. The individual applies systems thinking, data fluency, and AI‑enabled analysis to design workflows that improve portfolio governance, decision quality, and operational efficiency across the R&D ecosystem.
 

Desired Candidate Characteristics:

• A passion for healthcare, digital solutions, continuous learning, and responsible AI adoption.

• Proven ability to use AI for solution prototyping, data analysis, and building solutions.

• Ability to understand business context quickly and translate it into actionable requirements.

• Collaborative mindset with the ability to influence.

• Curiosity and innovation—willing to challenge assumptions and propose better ways of working.

• Commitment to delivering simple, intuitive, and explainable solutions that enhance user experience and adoption.

• Excellent communication skills.

• Agility to learn new tools, processes, and emerging technologies.

Key Responsibilities:
 

Own End‑to‑End Solution Analysis & Design:

• Lead discovery using AI‑assisted techniques (e.g., synthesis of interviews, process mapping, document analysis) alongside traditional methods.

• Translate business needs into clear, actionable use cases, functional designs, and process flows that enable effective portfolio governance and decision‑making.

• Define success criteria focused on decision quality, efficiency, and explainability - not just feature delivery.

Design Scalable, AI‑Enabled Solutions:

• Translate requirements into functional solutions that account for system constraints, data models, integrations, validation expectations, and user experience.

• Understand data structures, lineage, and flows across portfolio tools.

• Support the design of AI‑enabled workflows, including prompt templates, grounding strategies, and evaluation approaches, with appropriate human oversight.

• Prototype and iterate on solutions using tools such as Python, Jupyter Notebook, and Figma.

Ensure Quality, Compliance & Deployment Readiness:

• Lead UAT strategy and execution, including scenario definition, defect triage, and readiness assessment.

• Validate that solutions meet requirements, compliance expectations, CSV/SDLC standards, and AI‑specific validation considerations.

• Support deployment readiness through documentation, training materials, and release communications.

Act as a Trusted Partner to our Stakeholders:

• Serve as the primary liaison between product owners, portfolio operations, program leadership, and BI&T delivery teams.

• Communicate complex technical and analytical concepts clearly to technical and non‑technical stakeholders using plain, transparent language.

• Support change management, adoption, and continuous improvement cy