Location: Hybrid, Iselin, NJ
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.
About our Company:
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.
About the Team:
The Head of Corporate Technology is a high-impact, strategic leadership role responsible for the design, optimization, and evolution of the company's internal technology ecosystem. This leader brings a transformation mindset, operating at the intersection of enterprise technology, AI enablement and business performance. This role drives unit-economic efficiency, data-driven decision-making, and autonomous AI orchestration across all business units.
Responsibilities:
-
Design and execute a technology roadmap that enables the organization to scale 5x by deploying autonomous AI agents capable of executing cross-functional workflows without manual intervention.
-
Own the technology budget with a focus on aggressive cost optimization. Audit SaaS sprawl and replace high-cost "seat-based" licensing with proprietary, task-specific AI models to decouple growth from headcount.
-
Lead the evaluation of internal tools, deciding when to leverage off-the-shelf solutions vs. fine-tuning open-source LLMs on proprietary data to create a defensible competitive advantage.
-
Architect the corporate data strategy using Retrieval-Augmented Generation (RAG) to index every Slack thread, document, and meeting, creating a "Corporate Brain" for instant, secure internal search.
-
Lead the "AI-First" internal initiative. Move beyond static dashboards to predictive analytics that forecast KPIs, identify churn risks, and suggest real-time operational pivots.
-
Establish data governance and AI transparency standards to ensure that models are accurate, secure, and compliant, with proactive audits for algorithmic bias and "model drift."
-
Beyond contract negotiation, manage a portfolio of "AI-enabled" vendors. Evaluate vendor AI roadmaps and data-sharing policies to ensure third-party tools integrate into our proprietary intelligence layer without leaking IP.
-
Apply rigorous framework for retiring legacy systems. Identify and eliminate "Digital Rot" by migrating high-maintenance legacy processes into agile, AI-orchestrated microservices.
-
Oversee the management of core platforms (e.g., Salesforce, ERP, HRIS), ensuring they are unified through intelligent API layers that allow AI agents to read and write data across the entire stack.
-
Build internal workflows that prioritize Natural Language Interfaces, allowing employees to interact with complex enterprise software through simple, intuitive conversational prompts.
-
Manage and maintain compliance (e.g., HIPAA, SOC2, PCI) using continuous automated monitoring, ensuring the organization remains audit-ready as data volume scales exponentially.
-
Connect technology investments directly to P&L outcomes. You should be as comfortable calculating Inference ROI as you are in an architecture review.
Qualifications:
-
Bachelor's or Master's in related field; MBA is highly desirable.
-
10+ years in technology leadership, with a proven track record of managing enterprise-wide AI deployments in a high-growth "scale-up" environment.
-
Deep experience with cloud infrastructure (Azure/AWS), Salesforce ecosystems, and modern data warehousing, including Vector Databases and unstructured data pipelines.
-
Hands-on experience implementing LLM frameworks (e.g., LangChain, LlamaIndex) or agentic systems to solve real-world friction (not just theoretical pilots).
-
Experience leading a high-performing team of engineers, data scientists, and IT professionals while fostering a culture of AI-literacy and rapid experimentation.
-
Experience with Workday, SAP, or comparable HRIS/ERP platform transitions.
As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.
The salary range for positions that will be physically based in New York Metro Area is $216,000- $288,000.
Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.
Equal Employment Opportunity:
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
We will accept applications on an ongoing basis until we fill the position.
#LI-EM1
#LI-Hybrid
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $216000 and $288000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.
