Responsibilities
- Drive Enterprise Roadmap: Partner with the Business Leads and Portfolio Leads to design and execute a roadmap for Enterprise Analytics that aligns data initiatives with ASCO’s strategic mission.
- Foster Data Culture: Act as a thought partner and advocate for Business Intelligence (BI) best practices, fostering a culture where data-driven narratives inform every major business decision.
- Anticipate Trends: Stay at the forefront of emerging technologies to ensure ASCO’s analytics capabilities—from traditional BI to AI-ready datasets—are continuously evolving.
- Modernize Data Structures: Collaborate on the architectural design and modeling of multi-cloud Big Data platforms to support a scalable, high-performance analytic ecosystem.
- Optimize Data Design: Lead the conceptual and physical database design efforts to ensure data storage is optimized for both retrieval speed and business relevance.
- Govern with Integrity: Establish and maintain robust documentation and metadata standards to ensure data quality, transparency, and compliance across the organization.
- Craft Actionable Narratives: Design world-class, visually rich dashboards that translate complex datasets into clear, narrative-driven insights for stakeholders.
- Democratize Data: Scale self-service analytics by implementing intuitive tools and providing the training necessary for business users to find their own answers.
- Deliver Outcomes: Focus on measurable business results, ensuring that every BI solution implemented results in improved processes or smarter decision-making.
Requirements
- Bachelor’s degree in a related field (e.g., Data Science, Information Systems, Business Analytics) or equivalent years of specialized training and professional experience.
- 7+ years of progressive experience in Business Intelligence, Analytics, and Data Management, including proven history of designing and scaling enterprise-grade data solutions in a multi-cloud environment.
- Demonstrated experience leading large-scale BI and Analytics initiatives within complex organizational structures.
- A track record of strategic collaboration with key stakeholders and executive leadership to align data initiatives with overarching organizational goals.
- Deep expertise in data architecture, logical and physical modeling, SQL, and Big Data platforms.
- A solid understanding of database design and optimization techniques to ensure high-performance data retrieval.
- Strong grasp of the full analytics development life cycle and enterprise architecture principles.
- Proven ability to drive organizational change and facilitate high levels of end-user adoption for new BI tools and processes.
- Expertise in establishing data documentation and governance frameworks, including best practices for metadata management and data quality.
Nice to Have
- Relevant industry certifications such as Certified Business Intelligence Professional (CBIP) or Certified Data Management Professional (CDMP) are highly encouraged.
- Previous experience in healthcare, oncology research, or non-profit sector(s) is a significant plus.
Benefits
- Hybrid Work Environment
- Open Leave Policy
- Paid Family Leave
- 13 Paid Holidays per Calendar Year
- Staff Appreciation Days
- 401(k): 7.5% Employer Contribution
- Medical/Dental/Vision
- Employee Assistance Program
- Fertility and Family Forming Healthcare Concierge
- Flexible Spending Account(s)
- Healthcare Savings Account
- Disability and Life Insurance
Work Arrangement
Hybrid
Additional Information
- Extended periods seated or standing at a desk.
- High use of computer and other office technology equipment.
- Travel 6-10 days/yr
