• Lead the development of AI infrastructure projects from executed agreement through construction readiness. • Own integrated development roadmaps, schedules, budgets, milestones, and the pre-construction risk register. • Coordinate permitting, entitlement, utility planning, infrastructure planning, and owner obligations. • Recommend Go / No-Go decisions as projects advance through key development milestones. • Deliver development-ready projects to the Delivery organization with complete documentation and minimized risk. • Establish development readiness criteria and project handoff standards. • Verify permits, utility agreements, infrastructure planning, owner deliverables, and development obligations are complete before turnover. • Deliver projects to the Delivery organization with complete documentation, defined scope, and minimized development risk. • Identify and resolve development risks before they impact construction. • Serve as the primary development interface across Site Selection, Technical Due Diligence, Engineering, Energy, Finance, Legal, and Delivery. • Coordinate architects, civil engineers, environmental consultants, surveyors, permitting specialists, and other external partners. • Align internal stakeholders and external consultants to prevent scope, schedule, and cost drift throughout development.

Role Description - Lead and facilitate discovery activities to understand business problems, opportunities and desired outcomes before defining solution requirements. - Identify opportunities to improve business capabilities through better use of enterprise data. - Lead current and future state analysis across business processes, information flows and data domains. - Present options, trade-offs and recommendations to support informed business decisions. - Collaborate with Analytics and AI teams to define business requirements that enable analytical and AI-driven solutions. - Elicit, analyse and validate business requirements using a range of techniques including workshops, interviews, process analysis, document analysis and data analysis. - Define business processes, business rules, KPI definitions, data requirements and acceptance criteria that enable successful delivery. - Challenge assumptions and help stakeholders refine their thinking to ensure solutions address the underlying business need. - Identify, document and evaluate functional and non-functional requirements, ensuring they are clear, complete and testable. - Define conceptual and logical data requirements and models. - Work with Data Architects to understand information models and data flows and analyse data lineage and source-to-target data flows to support successful solution design and delivery. - Help define business data definitions, critical data elements and KPI definitions. - Support business data ownership, stewardship and governance activities, such as definition and maintenance of business metadata, business glossaries and critical data definitions. - Identify data quality issues and support improvements to trusted business information. - Collaborate with Product Owners and delivery teams to support backlog refinement, epic decomposition, story mapping and the definition of clear acceptance criteria. - Collaborate with delivery teams to refine and prioritise requirements, ensuring the highest-value outcomes are delivered first. - Ensure requirements remain traceable throughout the delivery lifecycle and support clarification where required. - Support business readiness, user acceptance testing and solution adoption where appropriate. - Manage multiple initiatives simultaneously, balancing priorities while maintaining quality and stakeholder confidence. - Identify and communicate risks, assumptions and dependencies throughout delivery. Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Role Description The Digital Health Scientist is responsible for generating and communicating evidence that demonstrates the clinical, economic, value-based, and business impact of Amwell’s digital health and telemedicine solutions. This role leads and supports research initiatives, analyzes complex healthcare data, collaborates with customers and cross-functional teams, and contributes to scientific publications and thought leadership efforts. The Digital Health Scientist plays a critical role in advancing evidence-based virtual care and helping shape the future of digital healthcare delivery. Core Responsibilities - Lead and support research projects focused on clinical, economic, value-based, and business outcomes across Amwell’s digital health and telemedicine solutions. - Design research methodologies, develop study protocols, and manage project-related research activities. - Collect, manage, and analyze quantitative and qualitative data, including surveys, questionnaires, interviews, and large healthcare datasets. - Interpret complex findings and translate research outcomes into actionable insights for internal and external stakeholders. - Supervise and provide project-level guidance to junior research team members. - Collaborate with research leadership and cross-functional teams to ensure timely delivery of research projects and initiatives. - Partner with product, engineering, design, sales, marketing, and business intelligence teams to define, measure, and report solution-level and enterprise-level outcomes. - Support customers in implementing research studies and establishing success metrics for digital health programs. - Present research findings, progress updates, and recommendations to customers, leadership teams, and other stakeholders. - Develop customer-facing reports, white papers, infographics, conference presentations, and other evidence-based materials. - Prepare, write, submit, and manage peer-reviewed scientific publications, including responding to reviewer feedback and manuscript revisions. - Contribute to Amwell’s thought leadership and innovation efforts within digital health, telemedicine, and virtual care. Qualifications - A PhD (or equivalent research experience) in any specialist area of medicine, health economics, statistics & data analytics or related subjects. - Strong understanding of digital health technologies and their role in delivering technology-enabled healthcare services. - Experience designing, conducting, and evaluating quantitative and qualitative research studies. - Demonstrated ability to analyze, interpret, and communicate complex healthcare data and research findings. - Experience working with large datasets and generating evidence-based insights. - Proven record of peer-reviewed scientific publications. - Strong organizational and project management skills, with the ability to work independently and manage competing priorities. - Excellent written, verbal, and presentation skills. - Strong collaboration skills and the ability to work effectively with diverse stakeholders across technical, clinical, and business functions. - Passion for advancing digital healthcare and improving patient outcomes through evidence-based innovation. Preferred Qualifications - Experience conducting research within the digital health, telemedicine, healthcare technology, or virtual care industry. - Experience evaluating digital health interventions within academic, clinical, or healthcare settings. - Demonstrated history of research impact through publications, presentations, or customer-facing evidence generation. - Experience applying Implementation Science methodologies, including: - Normalization Process Theory (NPT) - Consolidated Framework for Implementation Research (CFIR) - Exploration, Preparation, Implementation, Sustainment (EPIS) - Similar implementation and evaluation frameworks. Benefits - 23 days annual leave + 1 birthday day + 4 Mental Health days - Private Health Care – Irish Life - Pension - Life Insurance - Income Protection - Healthy work-life balance – wellness days and a supportive working environment - Employee Share Purchase Plan (ESPP) - Free access to Amwell’s Telehealth Services, SilverCloud and The Clinic by Cleveland Clinic’s second opinion program - Free Subscription to the Calm App - Tuition Assistance Program

• Provides expert support to run analysis and analytical experiments using both structured and unstructured data. • Evaluates alternate models via theoretical approaches. • Identifies and exploits data assets, creating new patterns and business value. • Creates analyses and models to improve customer and operational Key Process Indicators (KPIs). • Enhances measurable value for the Agency and its customers. • Builds predictive models and develops advanced algorithms that extract and classify information from large datasets. • Analyzes data, develops robust statistical and predictive algorithms/models that drive product outputs. • Identifies meaningful patterns and trends, exposing new business opportunities. • Translates results into understandable and actionable output that answers real business questions. • Works with modules such as Acquire to Retire (A2R), Cost Accounting (CA), User Management (UMX), Time & Labor (T&L), Procure to Pay (P2P), Order to Cash (O2C), Budget to Report (B2R), and Custom Application Development (CAD) Support Services. • Develops data conversion templates, pre/post conversion checklist/steps, data conversion design documents, data conversion status reports, and data conversion migration plans. • Provides expertise in COOP development and implementation, including disaster recovery planning, testing, support, recovery restoration, and system reconstitution. • Will analyze financial and ERP data sets. • Collaborates with hosting provider’s teams, including Systems Engineers, Network Engineers, and Continuity/Disaster Recovery Teams. • Executes COOP exercises such as tabletop, simulation/remote recovery, and full failover exercises. • Maintains and enhance the DAI Information System Contingency Plan (ISCP). • Analyzes and upgrade COOP design to align with software upgrades and technical changes. • Evaluates new technologies like Oracle Golden Gate for COOP environment re-architecture.