• Do the portfolio level analysis that tells the discovery team where to focus next, identifying where the biggest clinical and operational gaps exist and which AI opportunity areas have the strongest evidence for investment • Work directly with clinical, operational, health plan, and pharmacy leaders across Geisinger to understand strategic priorities, surface data driven insights, and help shape where discovery energy gets directed • Size opportunities that have never been sized before, building quantitative business cases from messy, incomplete data and turning them into the evidence that determines whether an idea moves forward • Benchmark Geisinger performance against peer health systems and external data sources to identify where the organization has the most to gain and where the market is moving • Design measurement frameworks for early stage pilots from scratch, ensuring that every initiative the team pursues is set up to generate real learning rather than just activity • Produce clear, compelling analytical narratives and visualizations that translate complex findings into strategic recommendations leadership can act on • Collaborate with analysts across the AI portfolio to share methods, data assets, and reusable components that raise the quality of analytical work across the function

Location: Work from home (Pennsylvania) Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker Type: Regular Exemption Status: Yes Job Summary: Why Geisinger: Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role provides the analytical foundation that makes good AI investment decisions possible, from measuring what is working in production to sizing what is worth building next. Position Summary: This is a role for someone who wants their analytical work to directly shape what gets built and what gets prioritized. Embedded within Geisinger AI product function, you will turn complex clinical and operational data into the evidence that drives portfolio decisions, validates AI performance in production, and informs how the organization communicates value to leadership. You will work closely with product managers, data scientists, and clinical partners across a broad range of AI initiatives spanning care delivery, revenue cycle, operations, and more. Job Duties: ​Key Responsibilities: - Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built - Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them - Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it - Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact - Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve - Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently - Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions - Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. *Relevant experience may be a combination of related work experience and degree obtained (Associate’s Degree = 2 years; Bachelor’s Degree = 4 years, Master's Degree = 6 years). Position Details: Required Qualifications - 5 or more years of experience in business intelligence, data analytics, or healthcare informatics - Deep proficiency in SQL and experience querying Epic Clarity or Caboodle databases - Demonstrated ability to build production grade dashboards in tools such as Tableau, Power BI, or Qlik - Experience working in healthcare settings with familiarity in clinical workflows, revenue cycle metrics, or quality reporting - Strong communication skills with the ability to translate analytical findings for nontechnical audiences - Comfort operating in ambiguous, fast moving environments with multiple competing priorities - Bachelors degree in data science, informatics, health administration, or a related field; advanced degree preferred Preferred Qualifications - Experience supporting AI or machine learning product teams in a healthcare context - Familiarity with Epic reporting workbench, SlicerDicer, or Radar dashboards - Exposure to clinical quality metrics, coding capture, or patient throughput analytics - Experience contributing to vendor RFI or RFP evaluation processes Education: High School Diploma or Equivalent (GED)- (Required) Experience: Minimum of 8 years-Relevant experience* (Required) Certification(s) and License(s): Skills: Group Problem Solving, Teamwork OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. - KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. - EXCELLENCE: We treasure colleagues who humbly strive for excellence. - LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. - INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. - SAFETY: We provide a safe environment for our patients and members and the Geisinger family. We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

• Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built • Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them • Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it • Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact • Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve • Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently • Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions • Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio

At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 110,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. - Taking ownership and driving impact - Being open to change and feedback - Being passionate about our mission and our customers. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:3f7b3372-abb0-44ef-9a27-e470518f0fcd-1" data-testid="conversation-turn-2" data-scroll-anchor="true" data-turn="assistant"> Your Mission Drive the growth of Catawiki’s Collectables business in Japan by building a strong pipeline of high-quality sellers. You will identify, engage, and onboard sellers, turning them into active and scalable partners who contribute to sustainable revenue growth. Act as the first point of contact for new sellers, ensuring a smooth onboarding experience and setting them up for long-term success before transitioning them to Account Management. What You’ll Do - Build and nurture relationships with new sellers to expand the Collectables network in Japan - Identify, qualify, and develop leads through calls, emails, field visits, fairs, and collaboration with experts - Reactivate high-potential dormant sellers and engage organic sign-ups to generate new opportunities - Qualify inbound leads using data insights and sales tools to prioritise high-impact opportunities - Deliver a smooth pre- and post-sales onboarding experience for new sellers - Select and grow high-potential sellers and transition them to Account Management teams - Collaborate with Account Managers to define and support growth plans for onboarded sellers What You’ll Bring - Proven track record in sales and consistently achieving targets - Strong networking skills with the ability to build and maintain relationships with sellers, manufacturers, and distributors - Solid negotiation skills and the ability to close deals effectively - Data-driven mindset with strong problem-solving capabilities - Interest in online marketplaces, reuse markets, or collectables, with the ability to engage sellers in their domain - Willingness to travel regularly within Japan to meet leads and sellers - Fluency in Japanese and business-level proficiency in English How We Work - Collaborate closely with category experts to build knowledge of Collectables segments - Work cross-functionally with Account Managers to support seller growth after onboarding - Use data and sales tooling to guide prioritisation and decision-making - Combine remote work with regular in-person engagement through field visits and events Where You’ll Be This is a 100% remote role based in Japan. Why You'll Love Working with Us - Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. - Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. - A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. - Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.