Technical Product Manager

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.

Were looking for a Technical Product Manager to own Unifys 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 youll 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 studys 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:

• Bachelors 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.
• Experience building and commercializing advanced analytics products that integrate NLP machine learning statistical modeling and data engineering with a demonstrated ability to tie analytics capabilities to measurable business ROI.
• Data warehouse & pipeline architecture fluency working knowledge of modern ELT tools and warehouse platforms sufficient to make informed trade-offs on pipeline design with engineering.
• Experience leading product strategy for AI-assisted analytics including natural language query generation and anomaly detection with ownership of feature adoption data quality frameworks and scalability as the product matures

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 youll work

Youll 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. Youll 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 -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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 $186014 - $279022 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 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.

Evinova draws on AstraZenecas 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

Closing Date

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and 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.