Product Ownership & Direction Clinical Data Management & Insights, supporting clinical, patient, and operational decision‑making across the product lifecycle.
Own end‑to‑end accountability for the solution, from problem definition and discovery through delivery, adoption, and continuous improvement.
Partner with Business Product Managers, clinical stakeholders, and operations leaders to define product vision, objectives, and measurable outcomes.
Translate clinical, patient, and operational needs into clear priorities and outcome‑driven roadmaps.
Continuously refine direction based on user feedback, adoption trends, and evolving business priorities.
Guide solution direction to ensure products are fit‑for‑purpose, scalable, compliant, and sustainable.
Leverage modern data engineering approaches to enable trusted, high‑quality data for clinical, patient, and operational use cases.
Make informed trade‑offs between customization, reuse, speed, and long‑term maintainability.
Act as a primary interface between users, patient‑focused teams, operational stakeholders, and delivery teams.
Lead discussions to clarify needs, manage expectations, and align on priorities and success measures.
Communicate product decisions, progress, and risks clearly to both technical and non‑technical audiences.
Build trust through transparency, consistency, and focus on value delivery.
Ensure solutions effectively support clinical, patient, and operational data use, enabling insights, review, and decision‑making.
Promote strong practices around data quality, reliability, and governance, particularly in regulated environments.
Identify opportunities to improve efficiency and outcomes through automation, analytics, and advanced data‑driven capabilities.
Define and track success metrics such as adoption, efficiency gains, quality improvements, and user satisfaction .
Provide direction to delivery teams to ensure work remains aligned with product priorities and intended outcomes.
Encourage collaboration, accountability, and ownership across cross‑functional teams.
Mentor team members to think in terms of customer value, product impact, and long‑term sustainability.
Foster an inclusive, outcome‑focused culture that values learning and continuous improvement.

Requirements

Must have a Bachelor's Degree
Needs to have at least 5 years of relevant work experience
Experience as a Product Lead Engineer, Lead Engineer, or Technical Product Owner , with ownership of solution direction and lifecycle outcomes.
Strong background in data–enabled solutions , guiding how data is sourced, structured, and consumed to meet business and user needs.
Hands‑on experience working with data platforms such as Databricks collaborating with engineering teams on design and evolution rather than platform operations alone.
Experience with relational databases , including PostgreSQL , and solid understanding of data modeling, querying, and data quality considerations.
Proven experience working with clinical, patient, and operational data , and understanding how this data supports clinical development, research, and operational workflows.
Experience operating in regulated environments , with awareness of data governance, privacy, security, and compliance expectations.
Strong ability to translate complex business needs into clear product direction and priorities .
Excellent stakeholder management and communication skills.
Experience working in Agile or product‑centric delivery models .

Benefits

Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata modelingdata qualityrelational databasesPostgreSQLdata governancedata privacydata securityAgileproduct management

Soft Skills

stakeholder managementcommunicationcollaborationaccountabilityownershipmentoringtransparencycustomer value focuscontinuous improvementproblem-solving

Certifications

Bachelor's Degree