Real Time Series Product Owner
Company: Sanofi
Location: Framingham
Posted on: March 13, 2026
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Job Description:
Job Title: Real Time Series Product Owner Location: Framingham,
MA About the Job Join the digital engine driving Sanofis
transformation - where AI, automation, and bold experimentation
power faster science and smarter decisions. Here, youll help build
the first biopharma company powered by AI at scale. The Real-Time
Series Product Owner is accountable for the vision, roadmap, and
value delivery of real-time data acquisition and timeseries
platforms in Sanofi R&D labs (Lucullus, MFCS, SynTQ). The role
sits within the Digital R&D organization, in the Lab
Integration & Operations team, where you'll drive the development
of innovative real supporting our CMC. This key role sits at the
intersection of pharmaceutical manufacturing and digital
innovation, leading the vision for real-time that transform how we
leverage manufacturing data across Sanofi's global network. Join
our Digital R&D organization Series Product Owner, where you'll
drive the development of innovative real supporting our CMC an.
This key role sits at the intersection of pharmaceutical
manufacturing and digital innovation, leading the vision for
real-time that transform how we leverage manufacturing data across
Sanofi's global network. About Sanofi: Were an R&D-driven,
AI-powered biopharma company committed to improving peoples lives
and delivering compelling growth. Our deep understanding of the
immune system and innovative pipeline enables us to invent
medicines and vaccines that treat and protect millions of people
around the world. Together, we chase the miracles of science to
improve peoples lives. Main Responsibilities Define and communicate
the vision, strategy, and roadmap for real-time time series data
platforms supporting our CMC teams. Drive product development
through all stages from conception to launch, ensuring with Digital
strategy Manage the product backlog and prioritize features based
on business value and CMC/M&S strategic priorities Enable
predictive analytics and advanced process control through time
series data integration Ensure solutions support GMP-compliant
digital infrastructure requirements Partner with M&Steams to
enable data-driven process understanding Stakeholder engagement Act
as primary point of contact between R&D labs (process
development, analytical development, MSAT, QC where relevant) and
technical teams for the covered products. Facilitate requirement
workshops with scientists, engineers, and lab operations to capture
needs around experiment orchestration, PAT integration, method
execution, and data visualization. Communicate roadmap, release
plans, and change impacts to stakeholders and governance forums in
a clear and concise way Lab and system integration Drive
integration of Real Time Series platform and related systems with
lab instruments, data historians, LES/ELN, LIMS, MES, and
enterprise data platforms. Ensure data models, contextualization
(batch, run, recipe, parameter metadata), and event/alert
structures support downstream analytics, modeling, and reporting.
Collaborate with architecture and infrastructure teams on
connectivity, performance, security, and scalability of timeseries
data solutions (onprem and/or cloud). Compliance, quality, and
operations Ensure solutions and changes comply with GxP where
applicable, data integrity expectations and cybersecurity
standards. Partner with QA, CSV, and validation teams to define
validation strategies, risk assessments, and documentation for
system and integration changes. Define and track operational KPIs
(system availability, data completeness, latency, incident volume),
and support incident and problem management for the product family.
Continuous improvement and value realization Collect and analyze
user feedback and usage data to refine backlog and maximize
adoption and value of Real Time Series platform, Unicorn and
associated services. Champion best practices for digital lab
workflows, realtime monitoring, and data-driven decision making in
partnership with scientific and operational stakeholders. Identify
opportunities to leverage advanced analytics, AI/ML, and digital
twins on top of the timeseries data foundation. About You Required
Qualifications Bachelor's degree in Computer Science, Engineering,
Information Systems, or related field 5 years of experience in
product management with data-intensive products Experience working
with time series data, IoT platforms, or real-time analytics
Understanding of pharmaceutical CMC processes and GMP environments
Experience with agile product development methodologies Ability to
build business relationships and understand end-to-end digital
product use and needs Preferred Qualifications Knowledge of
manufacturing execution systems (MES) and process Familiarity with
PI System/OSIsoft or similar industrial historians Strong
analytical skills with ability to interpret complex manufacturing
data Demonstrated ability to listen to stakeholders and end users,
ensuring products are built to address their specific needs and use
cases Excellent communication and collaboration skills across
technical and business teams Experience developing products with
Agile methodologies a must Excellent stakeholder management and
communication skills Why Choose Us? Bring the miracles of science
to life alongside a supportive, future-focused team. Discover
endless opportunities to grow your talent and drive your career,
whether its through a promotion or lateral move, at home or
internationally. Enjoy a thoughtful, well-crafted rewards package
that recognizes your contribution and amplifies your impact. Take
good care of yourself and your family, with a wide range of health
and wellbeing benefits including high-quality healthcare,
prevention and wellness programs and at least 14 weeks
gender-neutral parental leave. Drive digital transformation in
pharmaceutical manufacturing Offer extensive opportunities Provide
exposure to cutting-edge technologies and global operations Foster
a culture of innovation and continuous improvement Make a real
impact on patient digital excellence Sanofi Inc. and its U.S.
affiliates are Equal Opportunity and Affirmative Action employers
committed to a culturally diverse workforce. All qualified
applicants will receive consideration for employment without regard
to race; color; creed; religion; national origin; age; ancestry;
nationality; marital, domestic partnership or civil union status;
sex, gender, gender identity or expression; affectional or sexual
orientation; disability; veteran or military status or liability
for military status; domestic violence victim status; atypical
cellular or blood trait; genetic information (including the refusal
to submit to genetic testing) or any other characteristic protected
by law. GD-SA LI-SA LI-Onsite vhd All compensation will be
determined commensurate with demonstrated experience. Employees may
be eligible to participate in Company employee benefit programs,
and additional benefits information can be found here.
Keywords: Sanofi, Peabody , Real Time Series Product Owner, IT / Software / Systems , Framingham, Massachusetts
