Business Analysis & Research Support
Summary
This role involves supporting the identification and prioritization of research use cases for DataCore adoption within a life sciences organization. The candidate will conduct business analysis, manage project documentation, and create executive-level presentations to drive IT transformation initiatives.
Summary: This role primarily focuses on supporting and streamlining the identification, assessment, and prioritization of research use cases that are critical for adopting DataCore in the organization, ensuring a strategic approach to IT transformation and project management.
Responsibilities:
* Support the identification, assessment, and prioritization of research use cases relevant to DataCore adoption.
* Gather, structure, and synthesize stakeholder inputs, survey findings, and workshop outputs.
* Conduct structured research and analysis to support business case development, value modelling, and roadmap recommendations.
* Support the translation of business requirements into platform, capability, and operating model considerations.
* Develop fact-based insights and recommendations to support project decision making.
* Support the assessment of Research data and digital capabilities, including opportunities enabled by DataCore.
* Contribute to development of strategic recommendations, investment rationale, and future-state vision materials.
* Support development of executive-level narratives linking business needs, platform capabilities, and expected value realization.
* Assist in defining roadmaps, implementation considerations, and key dependencies.
* Support planning, tracking, and coordination of project activities across workstreams.
* Maintain project governance materials, action logs, risks, assumptions, and dependencies.
* Coordinate workshops, stakeholder meetings, and review sessions.
* Support progress reporting and communication with project stakeholders.
* Develop presentations, executive summaries, workshop materials, and supporting analyses.
* Support preparation of business case, budget submission, and roadmap deliverables.
* Ensure consistency, quality assurance, and version control across project outputs.
* Translate complex information into concise and visually effective communication materials.
Must Haves:
* Minimum 4 years of experience in management consulting, IT consulting, digital transformation, business analysis, or project delivery within life sciences.
* Experience supporting technology-enabled transformation initiatives in large organizations.
* Ability to independently own analytical tasks and workstreams with senior guidance.
Nice to Haves:
* Familiarity with DataCore or similar data management platforms.
* Experience in developing executive-level presentations and narratives.
* Strong analytical skills with a focus on data interpretation and business insights.
Other Details:
* Category 1: Location - Not specified
* Category 2: Team Structure - Collaboration with various stakeholders
* Category 3: Reporting Lines - Directly to project leadership
Reason (Must Have):
* Minimum 4 years of experience: This is crucial as it ensures the candidate has a robust understanding of the complexities involved in management consulting, which directly links to supporting the assessment and prioritization of research use cases.
* Experience in technology-enabled transformation: Necessary for effectively contributing to strategic recommendations and realizing value from DataCore initiatives.
* Ability to independently own tasks: Enables self-sufficient execution of analyses and workstreams that drive project objectives.
Reason (Nice to Have):
* Familiarity with DataCore: This knowledge can accelerate the onboarding process and enhance the candidate’s ability to make valuable contributions right away.
* Experience in developing presentations: Facilitates more effective communication with stakeholders, enhancing project alignment and execution.
* Strong analytical skills: Enhances the ability to develop insights and recommendations based on research and data analysis.
Trust Score: Score: High
Evidence: The job description provides detailed responsibilities and specific skills required, allowing for clear candidate sourcing and screening, particularly highlighting experiences relevant to the life sciences sector.