Solutions Owner, Data & Analytics

The IT Solution Owner is accountable for the end-to-end definition, coordination, delivery, and lifecycle stewardship of assigned technology solutions and initiatives. The role connects business objectives, product priorities, technical execution, governance, quality, readiness, and measurable outcomes. Working through influence rather than direct authority, the Solution Owner leads cross-functional teams and serves as the day-to-day point of accountability from intake and discovery through implementation, adoption, operational transition, and continuous improvement. The role flexes across Waterfall, Agile, hybrid, pod-based, and product-team delivery models while maintaining National Vision SDLC, risk, security, compliance, financial, and documentation expectations. Within Data & Analytics, the role owns delivery coordination and lifecycle stewardship for data products and initiatives such as dashboards, semantic models, data pipelines, APIs, governed datasets, analytics capabilities, and AI/ML-enabled solutions.Essential Functions Owns delivery from intake through value realization by clarifying the business objective, expected outcome, scope, success measures, delivery approach, and accountable stakeholders; maintains continuity through launch, transition, and post-implementation learning. Some of the early stages of intake will be completed in partnership with the Strategic Transformation Office where applicable. Serves as the primary day-to-day liaison across business, product, engineering, architecture, security, quality assurance, operations, finance, governance, and vendor teams; translates between business priorities and technical delivery realities. Tailors and leads the delivery model. Builds and maintains the appropriate roadmap, release plan, integrated schedule, backlog, milestones, ceremonies, tollgates, decision cadence, and governance for Waterfall, Agile, hybrid, pod-based, or product-team work. Defines and maintains delivery clarity by coordinating requirements, user stories, process flows, acceptance criteria, architecture and design artifacts, dependency plans, test evidence, training, deployment, operational readiness, and approvals. Partners with Product Owners and business leaders to shape priorities and value; partners with Solution Architects and engineering leaders to validate technical approach, feasibility, sequencing, and alignment with enterprise standards. Leads team execution by facilitating planning, refinement, estimation, reviews, retrospectives, working sessions, status reviews, and decision forums; removes impediments and protects focus while encouraging shared accountability. Manages scope, schedule, resources, budget awareness, vendors, risks, issues, assumptions, decisions, changes, and cross-team dependencies. Escalates early with clear options, impacts, recommendations, and decision needs. Drives quality and release confidence with QA, engineering, security, operations, and business stakeholders through test strategy, traceability, defect management, user acceptance, release readiness, go/no-go decisions, hypercare, and support transition. Provides concise, transparent, audience-appropriate reporting using milestones, delivery forecasts, financial information, RIDAC/RAID and decision logs, quality indicators, and outcome measures. Uses team metrics to improve flow and predictability, not to evaluate individuals. Champions sustainable ways of working, reusable delivery practices, documentation quality, knowledge transfer, lessons learned, and continuous improvement. Identifies appropriate opportunities to use AI-enabled tools for analysis, documentation, backlog refinement, prototyping, delivery workflows, and team productivity while following company security, privacy, and responsible-use requirements.

Additional Functions/Responsibilities Partners with business data owners, reporting owners, data engineering, data architecture, analytics, governance, security, and platform teams to define the data product, intended decisions, measures, sources, quality expectations, and adoption plan. Owns and maintains data-product roadmaps, prioritized backlogs, dependencies, release plans, acceptance criteria, data validation, lineage and documentation needs, and measurable value outcomes. Coordinates source-to-consumption delivery across ingestion, transformation, modeling, semantic definitions, reporting, analytics, access, and operational support; surfaces trade-offs involving quality, timeliness, cost, scalability, and reuse. Reinforces data governance by ensuring ownership, definitions, controls, access, privacy, quality rules, certification, and change impacts are addressed before release. Supports vendor and partner delivery while keeping business knowledge, product ownership, technical direction, governance, and roadmap accountability inside National Vision.