Forward Deployed Product Manager, Data & Insights

Latica•Palo Alto, CA

19h

About The Position

At Latica, our goal is to unlock the value of data to transform patient care. Latica is a secure data network and medical intelligence platform that gives the healthcare ecosystem the ability to quickly and safely access de-identified real-world health and patient data to accelerate diagnostic and therapeutic solutions and improve patient outcomes. Our solution enables the long-hoped-for vision of rapid, safe access to healthcare data and accelerated R&D of diagnostic and therapeutic solutions, pharmaceutical studies, and medical devices. Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and fun to hang out with. We invest in our people and believe in hiring high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Role Definition The Forward Deployed Product Manager (FDPM) for Data & Insights serves as the critical link and main focal point between our core product/data teams and our most strategic clients. This role is unique, requiring a blend of deep technical product expertise, data science understanding, and exceptional client-facing consulting skills. The FDPM maintains regular, structured engagement with clients, acting as the primary representative for all communications and conducting ongoing research to deeply understand client needs, adoption patterns, and value realization. The primary product managed by the FDPM is the data itself and the actionable insights derived from it, ensuring our clients successfully leverage, and maximize the value generated by our proprietary data assets within their specific operational workflows. The FDPM is accountable for accelerating the time-to-value for our client engagements, transforming raw data access into measurable business impact.

Requirements

4+ years of experience in Client Success, Solutions Engineering, or a highly technical client-facing role with Life Science companies.
Proven experience working with healthcare data products (e.g APIs, data feeds, predictive models, business intelligence tools).
Some experience in data querying languages (e.g., SQL, Python)
Exceptional communication and presentation skills, with the ability to convey complex technical and analytical concepts to both technical and executive audiences.
Ability to travel frequently to client sites.

Nice To Haves

Experience in working with RWE study protocols
Experience in working with EMR/clinical data
Prior experience in a "forward-deployed" customer-success-focused, or consulting role.
B.S. or M.S. degree in a quantitative field (e.g., Life Sciences, Computer Science, Engineering, Data Science, Statistics).

Responsibilities

Strategic Needs Assessment & Sales Enablement: Embed with key enterprise client teams (e.g., Data Science, Operations, Executive leadership) to deeply understand their most pressing business challenges, current data workflows, and strategic objectives. Collaborate closely with the Sales team to translate these insights into relationship management strategies and generate qualified upsell opportunities.
Insight Generation & Communication: Serve as the two-way translator between the client and the data team. (1) From Client to Data Team: Translate client real-world evidence questions into precise data definitions and requirements for the data team. (2) From Data Team to Client: Communicate complex analytical findings to different stakeholders: business stakeholders receive clear, actionable recommendations articulating the ROI and strategic implications; data stakeholders receive a clear walkthrough of the methodology, thought process, and data conclusions.
RWE Study Design & Execution: Collaborate with the data team to break down real-world data questions into clear analysis milestones and a detailed execution plan, and then actively track and manage progress to ensure timely completion.
Data Product Adoption & Value Generation: Drive the successful adoption and utilization of our data and insight products within the client's environment, identifying and executing on opportunities for deeper integration and increased utility. Partner with Sales on client account strategy to maximize long-term value and uncover expansion potential.
Feedback Loop Ownership: Act as the voice of the client back to the core Engineering and Data Science teams, rigorously documenting client pain points, feature gaps, and strategic opportunities related to the data product.
Data Translation & Mapping: Serve as the data translator, helping clients map their business needs to our data schemas, and delivery mechanisms (e.g., datasets, dashboards etc).
Technical communication: Collaborate with client data teams to ensure a smooth and reliable data consumption experience.
Data Liaison: Guiding client on how to leverage our data product for best practices in data consumption.
Feature Prioritization (Client-Side): Influence the product roadmap based on aggregated client feedback and high-priority needs, specifically focusing on data delivery enhancements, new insight types, and usability of data tools.
Cross-Functional Alignment: Work closely with Sales, Engineering, and Support to ensure a successful customer experience.
Metric Ownership: Define, track, and report on key performance indicators (KPIs) related to client success with the data product, including adoption rate, usage depth, and measurable business impact.