Job description

100% Remote. Location : 100% Remote Duration: 6+ Months Job Responsibilities Summary We are seeking a highly hands-on Senior Technical Architect, Integrations & Data Readiness Solutions to lead the architecture, implementation, and enablement of enterprise integration and data readiness capabilities across Lantheus. This role will connect enterprise systems, platforms, data products, analytics, and AI-ready data foundations so that business teams can access trusted, governed, high-quality data through best-in-class reporting, dashboarding, self-service, and natural-language query experiences. Key Responsibilities/Essential Functions • Establish and lead enterprise integration and data readiness capabilities, including architecture standards, governance frameworks, delivery processes, intake management, prioritization, value tracking, and reusable implementation patterns. • Identify, prioritize, and execute integration and data opportunities across business functions, translating business needs and pain points into scalable solutions with measurable outcomes and business value. • Architect and implement modern data ecosystems, including data products, data marketplaces, data lakes, warehouses, lakehouses, semantic layers, and AI-ready data assets that enable enterprise-wide data reuse and accessibility. • Drive data governance and Master Data Management (MDM) strategies, ensuring data quality, lineage, metadata management, stewardship, security, privacy, compliance, and trusted enterprise data across operational, analytical, and AI use cases. • Enable data democratization, self-service analytics, reporting, dashboards, natural-language querying, and AI-driven insights through connected, governed, and reusable data platforms. • Develop enterprise-wide training, data literacy, enablement, and organizational change management programs to accelerate adoption of integration, governance, data products, marketplaces, and analytics capabilities. • Provide technical leadership through architecture, hands-on delivery, agile release management, portfolio prioritization, mentoring, and strong collaboration with business leaders, architects, system owners, and cross-functional teams. • Evaluate emerging technologies, establish sustainable operating and cost models, and foster a culture of innovation, continuous learning, disciplined execution, and measurable value realization across run, grow, and transform initiatives. Required Qualifications • 15+ years of progressive hands-on experience across enterprise integrations, data platforms, data readiness, analytics enablement, governance, AI-ready data foundations, and solution delivery. • Strong working knowledge of leading integration and data platforms including Informatica IDMC, Informatica PowerCenter, SAP BTP, SAP CPI, Dell Boomi, MuleSoft, Databricks, Snowflake, SAP HANA EDW, Power BI, Tableau, ThoughtSpot, Starburst, and comparable enterprise technologies. • Hands-on implementation expertise designing, building, and operationalizing data lakes, data warehouses, and lakehouse architectures in Databricks and Snowflake for Commercial, R&D, TechOps, Manufacturing, Supply Chain, Finance, Legal, G&A and other functional domains, including ingestion, transformation, modeling, governance, performance optimization, security, and production support. • Expert-level experience connecting enterprise data and information across SAP, Veeva CRM, Salesforce, Veeva PromoMats, Veeva MedComms, clinical trial management systems, electronic data capture, regulatory information management, and functional Commercial, R&D, and TechOps data lake and data warehouse environments. • Bachelor's degree required, master's preferred. Example Profile - linkedin.com Required: Informatica – particularly: Informatica PowerCenter IDMC (Informatica Data Management Cloud) Databricks Snowflake Strong experience with data integrations / ETL Experience architecting and integrating data pipelines Data warehousing / MDM experience is valuable Important distinction: They do not want a traditional data engineer who primarily builds new data pipelines. They need someone operating at a technical architect / integration SME level, focused on integrating and transforming data across platforms. Industry / Domain Experience Life sciences experience is highly important. Pharma is ideal, but they are open to: Medical device Diagnostics Other life sciences organizations Candidate should understand commercial and R&D/clinical data, including regulated/GxP/FDA data. Strong preference for someone who has worked in IT, rather than someone sitting solely on the commercial/business side. Examples of target companies mentioned included Fresenius, Quanterix, and similar life sciences organizations. What "Good” Looks Like The example candidate shared had: Heavy data integration experience Informatica PowerCenter/IDMC Databricks Data warehousing Life sciences/pharma experience Experience with companies such as Fresenius and a commercial IT organization Senior-level experience operating as an SME/architect This profile was shared specifically to help the recruiting team understand the target candidate. Soft Skills Strong communicator Comfortable working with technical teams and business stakeholders Able to operate independently as the primary SME Senior enough to come into an environment and "hit the ground running” Experience working on project-based consulting engagements is acceptable; short consulting assignments are not viewed negatively. About Us: InterSources Inc , a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 19 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.

Requirements

Must-haves

100% Remote.
Location : 100% Remote
Duration: 6+ Months
Key Responsibilities/Essential Functions
Identify, prioritize, and execute integration and data opportunities across business functions, translating business needs and pain points into scalable solutions with measurable outcomes and business value.
Enable data democratization, self-service analytics, reporting, dashboards, natural-language querying, and AI-driven insights through connected, governed, and reusable data platforms.
Develop enterprise-wide training, data literacy, enablement, and organizational change management programs to accelerate adoption of integration, governance, data products, marketplaces, and analytics capabilities.
15+ years of progressive hands-on experience across enterprise integrations, data platforms, data readiness, analytics enablement, governance, AI-ready data foundations, and solution delivery.
Informatica PowerCenter
IDMC (Informatica Data Management Cloud)
Strong experience with data integrations / ETL
Experience architecting and integrating data pipelines
Data warehousing / MDM experience is valuable
Industry / Domain Experience
Life sciences experience is highly important.
Pharma is ideal, but they are open to:
Medical device
Other life sciences organizations
Candidate should understand commercial and R&D/clinical data, including regulated/GxP/FDA data.
Strong preference for someone who has worked in IT, rather than someone sitting solely on the commercial/business side.
Examples of target companies mentioned included Fresenius, Quanterix, and similar life sciences organizations.
What "Good” Looks Like
Heavy data integration experience

Nice-to-haves

Bachelor's degree required, master's preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiaccessibilityagile

Platform: jobdiva
Effort: medium