Technical Product Manager

Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope. They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members.Title: Technical Product Owner - Data & AnalyticsLocation: 3x a week in Danvers, MA, 2 days remoteDuration: 3-6 month contract + extensions to potential HIRERate: 65-80HRJob SummaryThe Technical Product Owner (TPO) – Data & Analytics is accountable for the end‑to‑end ownership of data products across data engineering, analytics, and visualization.This role drives the translation of business and patient priorities into executable product backlogs, leads delivery through agile squads, and ensures measurable business outcomes.The TPO owns the full lifecycle. Discovery. Prioritization. Delivery. Adoption. Value realization.Key ResponsibilitiesProduct Leadership & VisionOwns product vision and roadmap across data platform, analytics, and data visualization.Translates enterprise and IT Tactical Plan priorities into product goals, epics, and success metrics.Makes explicit trade‑offs across scope, speed, quality, and capacity.End‑to‑End Product OwnershipOwns data and analytics products from discovery through delivery, adoption, and outcome measurement.Accountable for measurable business and patient impact, with traceability from strategy to squad execution.Engineering, Analytics & Visualization DeliveryLeads cross‑functional squads across data engineering, analytics, and data visualization.Owns backlog prioritization, sprint goals, and acceptance criteria end‑to‑end.Data Platform & Technical ExpertiseApplies strong working knowledge of data platforms, analytics tooling, and visualization layers.Partners with Data Architecture and Data Platform Engineering on scalable, compliant solutions.Outcomes & MeasurementDefines outcome metrics and success criteria for all products.Tracks adoption and impact post‑delivery and drives corrective action where outcomes fall short.Business & Domain UnderstandingUnderstands commercial operations, field workflows, and the patient case lifecycle.Translates domain needs into actionable data and analytics requirements without over‑engineering.Stakeholder Management & InfluenceAligns IT, Data, Analytics, and Business stakeholders around shared priorities.Communicates decisions, risks, and trade‑offs clearly and early.Agile & Product Operating ModelOperates effectively in an Agile, product‑centric delivery model.Uses delivery and flow metrics to improve predictability and throughput.