Senior Principal Enterprise & Solution Architect

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

Exciting Opportunity at MSK: Senior Principal Enterprise & Solution Architect

At Memorial Sloan Kettering, the Senior Principal Enterprise & Solution Architect plays a critical role in shaping enterprise transformation through data, analytics, and AI. Reporting into the Chief Data & Analytics Officer, this role will partner closely with executive leaders, this role evaluates organizational readiness, surfaces strategic opportunities, and helps define a clear, actionable path forward for the enterprise.

Combining hands-on assessment work with executive-level storytelling, you'll translate complex insights into clear, persuasive narratives. Your work will inform high-stakes decisions, align diverse stakeholders, and help advance MSK's long-term vision for data- and AI-driven impact!

Role Overview

Act as a trusted strategic advisor and thought partner to executive and board-level leaders, shaping enterprise perspectives on data, analytics, and AI readiness and helping guide high-stakes decisions
Lead rapid, enterprise-wide assessments of data and AI maturity, evaluating capabilities across people, process, technology, and governance to inform long-term transformation strategy
Design and facilitate in-depth interviews, workshops, and working sessions with senior leaders and key stakeholders to surface priorities, constraints, risks, and opportunities
Synthesize complex qualitative and quantitative inputs into clear, cohesive insights that resonate with senior audiences and drive alignment
Translate assessment findings into practical, actionable recommendations, investment themes, and prioritized roadmaps for executive consumption
Develop compelling, executive-ready narratives, presentations, and visual storytelling that communicate gaps, tradeoffs, risks, and transformation pathways with clarity
Influence decision-making across functions without formal authority, constructively challenging assumptions and guiding leaders toward data-informed outcomes
Partner closely with data, analytics, and technology teams to validate findings and ensure recommendations are grounded in operational and technical reality
Operate effectively in ambiguity, adapting in real time as new insights emerge and maintaining momentum across complex, sensitive initiatives

Key Qualifications

Extensive experience influencing executive leadership on enterprise data, analytics, AI, or technology strategy
Proven success leading enterprise assessments, diagnostics, or large-scale transformation initiatives
Strong understanding of modern data platforms, cloud architectures, and hyperscale environments (e.g., AWS, Databricks, Snowflake, Google Cloud)
Experience operating within large, complex, matrixed organizations
Ability to work independently at a senior level while managing multiple high-impact priorities
Demonstrated success delivering results in fast-paced, evolving, and ambiguous environments

Core Skills

Executive-level communication and the ability to translate complexity into compelling strategic narratives
Strong influencing skills, including the confidence to challenge senior stakeholders without authority
Analytical rigor paired with practical judgment and business acumen
Advanced facilitation and stakeholder engagement across diverse, senior audiences
Change leadership mindset with a focus on driving adoption of data-driven ways of working

Additional Information

Location: 633 Third Avenue, New York, NY
Schedule: Hybrid; 9:00 AM - 5:00 PM, Monday - Friday
Reporting to Chief Data & Analytics Officer

Pay Range: $202,300.00 - $343,700.00
FSLA Status: Exempt

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