Senior Systems Analyst

The US Oncology Network•Dallas, TX

About The Position

The US Oncology Network is looking for a Senior Systems Analyst to join our team at Texas Oncology. As a part of The US Oncology Network, Texas Oncology delivers high-quality, evidence-based care to patients close to home. Texas Oncology is the largest community oncology provider in the country and has approximately 600+ providers in 280+ sites across Texas, our founders pioneered community-based cancer care because they believed in making the best available cancer care accessible to all communities, allowing people to fight cancer at home with the critical support of family and friends nearby. Our mission is still the same today—at Texas Oncology, we use leading-edge technology and research to deliver high-quality, evidence-based cancer care to help our patients achieve “More breakthroughs. More victories.” ® in their fight against cancer. Today, Texas Oncology treats half of all Texans diagnosed with cancer on an annual basis. The US Oncology Network is one of the nation’s largest networks of community-based oncology physicians dedicated to advancing cancer care in America. The US Oncology Network is supported by McKesson Corporation focused on empowering a vibrant and sustainable community patient care delivery system to advance the science, technology, and quality of care. What does the Senior System Analyst do? Including but not limited to The Senior Systems Analyst – Data Solutions is a senior individual contributor role accountable for requirements integrity and solution intent across complex, multi‑initiative data, analytics, and AI‑enabled solutions at Texas Oncology. This role serves as the authoritative steward of data and AI solution definition, ensuring that analytics platforms, data products, integrations, reporting, and AI‑enabled insights are grounded in validated business needs and translate into solutions that are architecturally sound, feasible to deliver, and operationally viable. Operating at the intersection of data, technology, automation, and advanced analytics, this role serves as the primary steward of data solution intent—ensuring analytics platforms, data products, AI‑enabled insights, machine‑learning‑backed capabilities, integrations, and reporting solutions deliver measurable business value while aligning to enterprise data architecture, AI governance, and technology standards established as part of the Texas Oncology digital roadmap.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field.
6–9 years of experience as a Systems Analyst, Senior IT Analyst, or Data Analyst in complex enterprise environments.
Demonstrated expertise translating ambiguous business problems into high‑quality, data‑centric technical requirements.
Strong applied knowledge of analytics, data platforms, and AI‑enabled solution concepts (tool‑agnostic; model‑agnostic).

Nice To Haves

Healthcare analytics, clinical data, or AI‑enabled healthcare solutions experience.
Experience working with modern data platforms, BI tools, and/or AI or automation platforms.
Experience collaborating with Data Engineers, AI engineers, or data science teams.
Experience defining analytics or AI solutions operating at enterprise scale

Responsibilities

Data Product & AI Requirements Ownership
Own end‑to‑end functional and technical definition for complex data, analytics, and AI‑enabled initiatives, including analytics platforms, reporting solutions, data pipelines, curated data products, and advanced insights.
Lead deep discovery with business, clinical, and IT stakeholders to uncover underlying needs, constraints, and success measures tied to digital transformation priorities.
Translate business problems into clear, unambiguous, high‑quality requirements, including metrics, data inputs and outputs, logic definitions, model performance expectations, and acceptance criteria.
Proactively identify and resolve requirements ambiguity, scope gaps, and conflicting stakeholder expectations that could compromise solution quality or delivery outcomes.
Architecture & Governance Alignment
Serve as a senior, trusted partner to Enterprise, Solution, AI, and Data Architects in shaping top‑of‑license design decisions for modern analytics and AI‑enabled solutions.
Ensure solution intent aligns with enterprise data models, integration standards, security and privacy requirements, and AI governance frameworks, including lifecycle management and monitoring expectations.
Validate that proposed solutions are feasible within platform capabilities, data readiness constraints, and established architectural guardrails.
Technical Product Ownership and Backlog Management
Maintain prioritized backlogs and serve as technical product owner for assigned products and data domains.
Balance stakeholder needs with architectural constraints, data readiness, model feasibility, and platform capabilities.
Support backlog refinement and delivery checkpoints to ensure data and AI capabilities are implemented as intended and are operationally viable.
Align data and AI solutions with enterprise governance processes covering data stewardship, model lifecycle management, monitoring, and compliance.
Contribute to continuous improvement of data and AI analysis practices, templates, and standards across Texas Oncology IT.
Cross‑Initiative Delivery Enablement
Provide senior‑level analysis and coordination across data and AI initiatives, including dependency identification, readiness assessment, and outcome validation.
Partner with IT Project Managers and delivery leads to ensure solutions move predictably through the SDLC and into production with appropriate operational readiness.
Serve as a point of escalation for definition‑related risks impacting delivery feasibility, quality, or outcomes.
Continuous Improvement & Standards Development
Contribute to the continuous improvement of data and AI analysis practices, including standards, templates, patterns, and reusable artifacts.
Share lessons learned to mature requirements rigor, analytics definition quality, and cross‑team consistency across Texas Oncology IT.