Data Architect

Job Description The Associate Director, Data Architect (M-track) leads and develops a programming and reporting team - set goals, assign work, coach performance, and manage recruiting/onboarding - while communicating status and risks to leadership and partners. Provide hands-on technical review, solutioning support, enforce SOPs/standards, manage workload and prioritization, track quality and timelines, and drive best practices (code review, reusable components, test automation) and continuous improvement. Responsibilities Programming and reporting Lead design and deployment of clinical technology system solutions (e.g., for EDC [Electronic Data Capture], RTSM [Randomization and Trial Supply Management], and eCOA/ePRO [electronic Clinical Outcomes Assessment/ electronic Patient-Reported Outcomes]) using programming frameworks and automation tools. Provide technical oversight for clinical programming, reporting, and data integration across portfolios. Recommend and implement tools to streamline design, build, and validation processes. Apply data literacy to design transformation strategies for actionable insights. Develop advanced reporting solutions (dashboards, listings, visual analytics) with reusable components and role-based access. Data Engineering Define and govern integration architecture, including data sources and transformation workflows. Ensure consistent implementation of enterprise standards and reusable assets. Monitor and troubleshoot data ingestion and consumption for reliability. Automate and strengthen data engineering processes to reduce risk and improve efficiency. Develop robust data models, semantic layers, and curated datasets; enforce quality checks. Process Drive process optimization by identifying gaps and implementing improvements. Translate strategy into clear priorities, roadmaps, and ways of working for assigned domains. Lead testing strategies for solutions; automate validation and ensure traceability. Contribute to resource planning and workload distribution across global teams. Set documentation and audit standards; ensure compliance through rigorous change management. Lead cross-functional collaboration, meetings, and enterprise-level improvement programs. Influence adoption of data standards, tools, and automation for better delivery and decision-making. Provide leadership, coaching, and mentoring to build capabilities and foster a culture of quality and collaboration. Support release management across environments; align stakeholders, lead UAT (User Acceptance Training), and improve reporting standards. Partner across teams to turn data and technical findings into clear, actionable recommendations Act as a reliable partner to GDMS and other cross-functional teams, actively seeking input, aligning on priorities, and closing feedback loops to drive high-quality, coordinated delivery. People management Align teams around a clear direction; set clear objectives aligned to organizational goals; assign work and set priorities accounting for work-life balance sustainability. Conduct regular check-ins and annual reviews; coach for performance; provide recognition. Develop career plans; create growth opportunities and promotion cases; ensure appropriate training and mentoring. Lead recruiting and hiring and oversee performance management activities, including management of sensitive employee-relations matters in partnership with HR. Coordinate on-shore/off-shore and contingent resources; ensure role clarity and effective handoffs. Manage an operating budget and optimize spend against priorities. Inspires and ensures that team leaders are effectively supporting and empowering their individual leaders. Technical skills Expert-level proficiency in different technology languages (e.g., SQL, Python, SAS, and R) for implementing clinical data collectors, integrations, transformations, visualizations Evidence of experience in architecting and interoperability of EDC platforms, data integration environments, clinical operations systems, and cloud computing platforms Proficiency with key data-management and/or clinical operations tools and platforms (e.g., systems for data capture, review, visualization, reconciliation, and reporting), with the ability to help select, configure, or optimize solutions. Broad understanding of the data-management technology ecosystem (e.g., data capture, review, reconciliation, reporting, analytics, and enabling tools) and how components fit together across the end-to-end process. Experience leveraging automation, scripting, or digital solutions to streamline data-management activities and reduce manual effort. Ability to interpret operational and quality metrics, use analytical/forecasting tools for capacity and scenario planning, and translate insights into clear decisions and actions. Strong understanding of common clinical and regulatory data standards, clinical operational data models, metadata management, and controlled terminologies (e.g., MedDRA, WHODrug) to ensure consistency and submission readiness. Strong understanding of validation, system lifecycle, data-privacy, and System Development Lifecycle Management activities Strong understanding of drug discovery process, FDA regulations, GxP / ICH guidelines Ability to connect business outcomes to technical deliverables Non-technical skills Strong ability to lead teams in a matrixed, global organization while ensuring delivery excellence through effective problem-solving techniques Demonstrated success in coaching, developing, and performance-managing high-performing individuals Builds strong partnerships across technical, business, and quality functions to enhance collaboration and deliver integrated outcomes Balances business needs, resource capacity, and compliance requirements to make sound operational decisions Capable of leading teams through process and organizational transformation with empathy and clarity Enterprise Leadership Skills Execution Excellence | Is results-focused per compliance standards; sets ambitious expectations for accomplishment and ensures others contribute to org strategies by focusing them on the most critical priorities; translates departmental goals into clear expectations Coaching and Development | Manages individual contributors and/or supervisors, provides technical guidance, and develops others through coaching, feedback, and guidance Entrepreneurship | Embraces patient customer focus, ensuring that internal or external customer perspective is the driving force behind strategic priorities, business decisions, org processes, and individual activities; crafts and implements service practices that meet customers' and own organization needs Qualifications & experience Bachelor's Degree with a minimum of 8 years experience working in clinical data programming, data engineering, or related data-management/clinical operations function, as well as: 2 years people management experience. Demonstrated deep subject matter expertise in clinical development. OR Advanced Degree (Masters or Doctorate) with a minimum of 4 years experience working in clinical data programming, data engineering, or related data-management/clinical operations functions, as well as: 2 years people management experience. Demonstrated deep subject matter expertise in clinical development. Headcount responsibility 6-8 Required Skills Data Analysis Data Engineering Data Validation Electronic Data Capture (EDC) Good Clinical Practice (GCP) Integration Architecture Metadata Management Employee Status Regular Relocation No relocation VISA Sponsorship No Travel Requirements No Travel Required Flexible Work Arrangements Hybrid Shift Not Indicated Valid Driving License No Hazardous Material(s) n/a Job Posting End Date 08/10/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. #J-18808-Ljbffr