• You are responsible for stable, high-performance ELT processes on modern cloud data platforms • You develop and operate scalable data pipelines and transformations using dbt • You ensure high data quality • You design data models that directly answer business and operational questions • You work closely with business units, support operational management, and independently identify relevant deviations and trends • You advise internal stakeholders on data-related issues and translate requirements into sustainable analytics solutions • You share your knowledge within the team, establish best practices, and create technical documentation for the efficient use of data products • You work pragmatically and solution-oriented, and know how to solve challenges independently or together with the community

Job Description: Phreesia is launching ProviderConnect, our new HCP Demand-Side Platform (DSP), a first-of-its-kind solution that uses real-world, first-party patient scheduling data to reach healthcare providers (HCPs) at the right moment. To drive successful market launch, we’re seeking an experienced Lead of HCP Advertising Strategy & Measurement to shape the product narrative, lead measurement and analytics strategy, and partner closely with internal teams and external clients to drive adoption. The Lead, HCP Programmatic Measurement Strategy role blends storytelling, media strategy, and measurement leadership, positioning Phreesia as a thought leader in programmatic HCP advertising and helping pharma marketers understand the value of our unique, predictive audience data. Phreesia is a fully remote company; however, candidates located in ET and CT regions (such as NYC and Toronto) are given priority in the hiring process. What you’ll do Measurement Strategy & Analytics - Lead measurement strategy across the full product lifecycle, including developing frameworks that prove campaign performance and incremental outcomes (impressions, CTR, viewability, PLD, TRx/NRx), creating measurement playbooks for client facing teams, and defining future state capabilities such as closed loop HCP–patient impact and outcome based optimization. Lead forecasting strategy/tooling within our system. Develop documentation around key processes - Collaborate with analytics, product, and external data partners (IQVIA, Crossix, Symphony, PurpleLab) to integrate advanced studies, validate performance, represent ProviderConnect in clients’ MMM models, and ensure accurate visibility across cross channel reporting. Strategic Leadership - Shape and communicate the value story for ProviderConnect by translating complex ad tech and data concepts (deterministic targeting, device mapping, predictive audience modeling) into clear narratives and leveraging clinical insight to map patient clinical audiences to HCP targets. - Serve as a key strategic voice across Product, Client Experience, Sales Enablement, and Data Science, driving alignment throughout cross functional launch planning. Client & Market Engagement - Partner with Commercial and Client Experience teams to evangelize differentiators such as predictive HCP targeting, DTC synergy, and activation through Freewheel DSP, and collaborate with agencies and DSP partners on best practices for audience segment and managed service models. - Represent Phreesia as a thought leader in client meetings, industry events, and roundtables (e.g., FiercePharma), shaping the market’s understanding of HCP programmatic advertising. Internal Enablement - Create internal messaging, training materials, and measurement focused enablement to reinforce understanding of ProviderConnect’s value proposition, audience strategy, and performance metrics. - Partner with Marketing to develop case studies, white papers, and success stories that illustrate real world results and strengthen internal and client-facing measurement consistency. What you’ll bring - 7–10 years of experience in HCP advertising, programmatic media, or digital marketing strategy within pharma, healthcare, or ad tech, with deep understanding of DSPs, SSPs, ad networks, HCP audience data (NPI‑based targeting, clean rooms, deterministic device matching), and hands‑on experience with Freewheel or other DSPs, audience solutions (Swoop, Crossix), 3rd‑party ad serving (GAM360), and BI/analytics tools. - Deep understanding of DSPs, SSPs, ad networks, and HCP audience data (NPI-based targeting, clean rooms, deterministic device matching). - Proven track record of leading measurement or analytics initiatives for HCP or healthcare media campaigns. - Experience crafting GTM narratives or marketing positioning for data-driven ad products strongly preferred. - Strategic thinker and an expert communicator who can translate data and technology into persuasive narratives. - Familiarity with healthcare data privacy regulations (HIPAA, de-identification standards). Total Cash Compensation for U.S. and Canada-based employees ranges from  $155,000–$180,000, which could include participation in our variable incentive plan. Compensation decisions are based on job-related factors including skills, experience, and qualifications, in addition to Phreesia’s highly competitive and comprehensive Total Rewards package.  Who We Are: At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care. Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit! Top-rated Employee Benefits: - 100% Remote work + home office expense reimbursements - Competitive compensation - Flexible PTO + 8 company holidays - Monthly reimbursement for cell phone + internet + wellness - 100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada - Variety of insurance coverage for people (and pets!) - Continuing education and professional certification reimbursement - Opportunity to join an Employee Resource Group. Learn more here: https://www.phreesia.com/workforce/ We strive to provide a diverse and inclusive environment and are an equal opportunity employer.

Role Description As our Senior Data Engineer, you will design, build, and own the core business data platforms and pipelines that enable analytics, reporting, and future AI/ML workloads across HSO and business units such as Dentally. You will play a strategically important role in establishing best practice data engineering foundations and embed a scalable architecture, trusted data models, robust data quality, and secure access to our healthcare data. You will work on meaningful problems that will have a high visibility and a direct impact on enabling the company strategy, product innovation, automation, and commercial outcomes. - Design and implement a modern, cloud‑native data platform on AWS, with Redshift and dbt at its core. - Build scalable, reliable data ingestion and transformation pipelines from operational, product, and commercial systems, with best gold standard data models and metrics that support commercial, customer, operational, and product analytics use cases. - Deliver trusted datasets that power core reporting, dashboards, and self‑serve analytics across the business. - Partner across Data, Product, Engineering, Commercial, Operational and Finance teams to ensure data models align with real business value drivers. - Ensure data platforms are extensible to support more advanced use cases (e.g. streaming data, advanced analytics, future machine learning and AI workloads). - Collaborate with the Head of Data & AI to support emerging MLOps and AI data pipeline needs over time. - Work with the Head of Data and AI, to define and implement best practices for data quality, testing, monitoring, and documentation using modern frameworks (e.g. dbt tests, data contracts, SLAs). - Build secure, compliant data access patterns appropriate for healthcare and regulated environments, including data minimisation, hashing, tokenisation, and role‑based access. - Own operational excellence (reliable, performant, scalable, cost aware and observable) for data ingestion and transformation pipelines. - Act as a senior technical contributor and role model within the data function. - Support knowledge‑sharing and mentoring as the team expands. Qualifications - Proven experience building data platforms and pipelines from the ground up in a modern cloud environment (AWS, Azure, GCP, Redshift, Databricks, Snowflake, dbt, etc.). - Strong data engineering fundamentals, including data modelling, ETL/ELT design, performance optimisation, governance, and reliability. - Experience scaling data systems as usage, data volume, and organisational demand grow. - Experience working in healthcare or highly regulated environments is desirable. - Hands on experience with AWS data services. - Strong experience with cloud data warehouses, ideally Amazon Redshift and/or Snowflake, Databricks. - Production experience using dbt for data transformations, testing, and documentation. - Solid SQL expertise and proficiency in at least one general purpose programming language (e.g. Python). - Experience implementing data quality frameworks, data contracts, data access frameworks, and SLAs. - Understanding of data security, privacy, and compliance considerations. - Exposure to, or strong interest in, ML/AI data pipelines (Sagemaker, Bedrock) and MLOps concepts. - Comfortable operating in ambiguity and autonomous enough to make pragmatic decisions in a greenfield environment that align to data principles. - Can focus on delivering value fast and value enablement. - Strong stakeholder communication skills, with the ability to translate technical concepts into business impact. - A mindset focused on building pragmatic, sustainable, well governed systems rather than ad-hoc solutions and workarounds. - Is curious, comfortable with ownership, and brings a continuous learner and improvement mindset. Company Description Diversity at Henry Schein One is all about you being you. Diversity and inclusion are integral to every aspect of our business, we push boundaries fuelled by a diverse set of voices and a desire to make a difference. We are proud to be an equal-opportunity employer. All qualified candidates are considered without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. We welcome everyone to our team; we foster creativity and ambition throughout our business. We’re making a difference every day and you can too. - Community - Each Person is as Important as the Next - Open Communication - Diversity & Inclusion - Caring - Corporate Citizenship - People are our Greatest Asset - Career - Ethics - Recognise Creativity & Encourage it

• Design, develop, and deploy data ingestion pipelines to populate the Quantexa platform with data from diverse internal and external sources • Configure and tune the Entity Resolution engine to create a single, trusted view of customers, organizations, and counterparties across global data landscapes • Develop and implement contextual monitoring scenarios and analytics models to detect complex, multi-stage money laundering schemes and other financial crimes • Hands-on experience with the Quantexa platform and its Entity Resolution and Network Generation capabilities • Develop and optimize data models within Quantexa to support advanced network analysis and graph-based analytics • Build and customize components within the Quantexa platform to support the end-to-end investigation workflow • Analyze the performance of detection scenarios, focusing on reducing false positives and improving the accuracy of true positive alerts