Job description

Evinova is a global health-tech business within the AstraZeneca Group. We build Unify, a digital platform that makes clinical trials faster, easier, and less burdensome for patients, clinical sites, and the sponsors who fund them. We're looking for a Technical Product Manager to own Unify's reporting, dashboards, and analytics product (URD) — the trusted source of truth study teams, sites, and sponsors use to monitor how a trial is running. This is a data-centric product role at its heart: your job is to turn raw trial data into governed, reliable, and actionable insight, with a particular focus on compliance dashboards that show whether a study is being run accurately and safely. Today, too many teams still rely on manual exports and spreadsheets, and dashboards are often rebuilt study by study. Your mission is to change that — delivering standardized, plug-and-play, trustworthy analytics that surface the right insight the moment someone logs in. What you'll own • Product vision & roadmap for URD — the reporting and analytics layer across Unify, from compliance and operational dashboards to sponsor-facing insight. • Compliance dashboards as a priority — for example participant compliance, clinician/site notice compliance, questionnaire responses and scoring, safety instruments, data changes, and study close-out — giving teams a real-time view of trial conduct and quality. • A governed metric layer — a single catalog of clearly-defined, agreed metrics so every dashboard tells a consistent, trusted story ('one source of truth'). • Plug-and-play, role-aware dashboards — standardized dashboard packs that configure to a study's build and show each user (site, sponsor, internal) exactly what they need, without custom rebuilds each time. • Data trust and integrity — build in signals for data freshness, quality checks, and traceability, and ensure the product meets regulated-data expectations (audit trails, data-integrity and 21 CFR Part 11 principles). • The reporting data foundation — partner with engineering on the reporting data pipeline (URDP) and warehouse that feed the dashboards, so analytics are timely, accurate, and scalable. • AI-assisted analytics — shape capabilities like a reporting assistant that lets users ask questions across studies in plain language and get trustworthy, governed answers. • Scale across markets — support multi-customer and region-specific needs (including China-hosted analytics), balancing global consistency with local requirements. • A single, prioritized backlog — make transparent trade-offs across new dashboards, quality/compliance work, and platform investment, and measure success by adoption and trust, not volume of reports shipped. Essential Skills: • Bachelor's Degree • 7+ years of experience • Demonstrated experience in product management , including data, analytics, BI, or reporting products. • Strong data proficiency — comfortable with data modeling and metric definitions, reading and reasoning about SQL, and working hands-on with engineers and analysts on pipelines and warehouses. • Experience with BI / dashboarding tools (e.g. Superset, Power BI, Tableau, Looker, or similar) and an eye for what makes a dashboard genuinely usable and trusted. • Metric governance approach — a track record of establishing consistent, well-defined metrics and a single source of truth across an organization. • Regulated-data experience or aptitude — familiarity with data integrity, audit trails, and standards such as 21 CFR Part 11 (healthcare, clinical, financial, or comparable), or the ability to ramp quickly. • Prioritization under constraint — shipping incrementally and making evidence-based calls when demand exceeds capacity. • Excellent communication and collaborator leadership — able to align data engineers, analysts, commercial, and compliance colleagues, and to explain data decisions to both technical and executive audiences. Nice to have • Knowledge of clinical-trial or healthcare data, and the compliance measures that matter in that setting. • Experience with cloud data platforms and pipelines (e.g. warehouse/lake, object storage, relational databases). • Experience bringing AI or natural-language analytics to production responsibly. • Experience with multi-tenant (SaaS) analytics and region-specific data-residency requirements. How you'll work You'll lead through clarity and influence — setting direction, empowering your team to own their work end to end, and keeping everyone passionate about delivering insight users can trust. You'll become comfortable with ambiguity, rigorous about data quality and definitions, and committed to compliance in an environment where accuracy genuinely matters. When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world. The annual base pay for this position ranges from $186,014 - $279,022 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Why Evinova (AstraZeneca)? Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. We work a minimum of three days per week from the office to maintain the pace, connection, and creative friction that builds great products, while respecting individual flexibility. Join us on our journey of building a new kind of health tech business to reset expectations of what a biopharmaceutical company can be. This means opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey. Date Posted 01-Oct-2026 Closing Date 07-Oct-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Requirements

Must-haves

What you'll own
Product vision & roadmap for URD — the reporting and analytics layer across Unify, from compliance and operational dashboards to sponsor-facing insight.
A governed metric layer — a single catalog of clearly-defined, agreed metrics so every dashboard tells a consistent, trusted story ('one source of truth').
Plug-and-play, role-aware dashboards — standardized dashboard packs that configure to a study's build and show each user (site, sponsor, internal) exactly what they need, without custom rebuilds each time.
Data trust and integrity — build in signals for data freshness, quality checks, and traceability, and ensure the product meets regulated-data expectations (audit trails, data-integrity and 21 CFR Part 11 principles).
The reporting data foundation — partner with engineering on the reporting data pipeline (URDP) and warehouse that feed the dashboards, so analytics are timely, accurate, and scalable.
AI-assisted analytics — shape capabilities like a reporting assistant that lets users ask questions across studies in plain language and get trustworthy, governed answers.
Scale across markets — support multi-customer and region-specific needs (including China-hosted analytics), balancing global consistency with local requirements.
A single, prioritized backlog — make transparent trade-offs across new dashboards, quality/compliance work, and platform investment, and measure success by adoption and trust, not volume of reports shipped.
Bachelor's Degree
7+ years of experience
Demonstrated experience in product management , including data, analytics, BI, or reporting products.
Strong data proficiency — comfortable with data modeling and metric definitions, reading and reasoning about SQL, and working hands-on with engineers and analysts on pipelines and warehouses.
Experience with BI / dashboarding tools (e.g. Superset, Power BI, Tableau, Looker, or similar) and an eye for what makes a dashboard genuinely usable and trusted.
Metric governance approach — a track record of establishing consistent, well-defined metrics and a single source of truth across an organization.
Regulated-data experience or aptitude — familiarity with data integrity, audit trails, and standards such as 21 CFR Part 11 (healthcare, clinical, financial, or comparable), or the ability to ramp quickly.
Prioritization under constraint — shipping incrementally and making evidence-based calls when demand exceeds capacity.

Nice-to-haves

Knowledge of clinical-trial or healthcare data, and the compliance measures that matter in that setting.
Experience with cloud data platforms and pipelines (e.g. warehouse/lake, object storage, relational databases).
Experience bringing AI or natural-language analytics to production responsibly.
Experience with multi-tenant (SaaS) analytics and region-specific data-residency requirements.
How you'll work
Why Evinova (AstraZeneca)?
Closing Date

Application prep

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Keywords to mirror

aisql

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)