Business & Strategy & Portfolio Senior Specialist
Listed on 2026-07-02
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IT/Tech
Business Intelligence, Data Analyst, Business Systems/ Tech Analyst
Location: Winchester Place, Durham, North Carolina, United States
Working model: Office-based / hybrid, with an expectation to work from the office on average a minimum of three days per week
Function: Operational Data Strategy
Reports to: Strategic Analytics and Enablement Lead
Are you ready to turn complex clinical operations data into clear actions that speed high-quality decisions and ultimately help deliver medicines to patients faster?
As a Business & Strategy & Portfolio Senior Specialist in our Operational Data Strategy team at Winchester Place in Durham, North Carolina
, you will sit at the intersection of business questions, analytics, and user experience — ensuring leaders see what matters, when it matters, in a way that drives action.
Reporting to the Strategic Analytics and Enablement Lead
, you will partner with stakeholders across Clinical Operations to shape decisions at the point of need. You will translate complexity into clarity, apply modern analytics and AI-enabled decision support, and scale what works across teams.
How would you shorten the time from question to answer, increase confidence in choices, and raise the bar for data-driven decision-making?
Accountabilities- Decision Support Strategy: Partner with business stakeholders to frame high-impact questions, define success metrics, and target the decisions that matter most.
- Analytics Translation: Turn complex, cross-functional clinical operations data into concise narratives, options, and recommendations that leaders can act on immediately.
- AI-Enabled Decision Support: Apply analytics and responsible AI methods to inform what-if scenarios, risk/benefit trade-offs, and portfolio choices with clear governance and quality.
- Power BI Product Delivery: Design and deliver scalable BI products, including robust semantic models, performant DAX, and intuitive UX/UI that enable confident self-service.
- Portfolio Insight Scaling: Standardize effective solutions and scale them across use cases, reducing duplication and accelerating value realization across Clinical Operations.
- Quality, Ethics, and Reproducibility: Balance speed-to-insight with rigor, auditability, and data assurance; uphold governance and model monitoring where applicable.
- Adoption and Change Enablement: Coordinate training, champion adoption, and track value; gather feedback to iterate and continuously improve decision-support products.
- Stakeholder Engagement: Communicate trade-offs and limitations clearly; influence roadmaps and align delivery with strategic priorities to maximize business impact.
- Bachelor’s degree required in Business, Analytics, Data Science, Life Sciences, Computer Science, Information Systems, or a related field.
- Minimum 3 years of relevant experience in business analytics, strategy, portfolio management, data/BI product delivery, or decision-support analytics.
- Proven experience partnering with stakeholders to co-create, refine, and deliver analytics that support business and strategic decision-making.
- Hands‑on experience applying analytics tools, including AI‑enabled approaches where appropriate, with strong judgment around quality, ethics, and governance.
- Strong Power BI and BI application experience, including semantic modeling, DAX, performance optimization, and UX/UI design for scalable decision support.
- Strong written and verbal communication skills with the ability to explain trade‑offs, limitations, and recommendations clearly to business audiences.
- Demonstrated ability to deliver analyses and decision‑support products while balancing speed‑to‑insight with rigor and reproducibility.
- Experience coordinating with stakeholders to support adoption, training, and value realization of analytics and decision‑support products.
- Master’s degree preferred.
- Experience in pharmaceutical, biotech, clinical operations, R&D, or another regulated environment.
- Familiarity with SQL, ETL pipelines, cloud environments, Agile delivery, BI/AI governance, responsible AI practices, model monitoring, and change management.
When we put unexpected teams in the same room, we unleash…
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