Associate Director - Data Solutions Architecture

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.

We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

The Associate Director Data Solutions Architecture is responsible for leading a team of data solution architects strategizing and designing data solutions utilizing their vast experience in data architecture standards and processes.  They will develop artifacts such as architecture blue-prints, data models, design frameworks and patterns, proof of concepts, etc, and assist business and IT leaders with data product rationalization, measuring total cost of ownership, developing architecture roadmaps, and prioritizing global domain initiatives in collaboration with the data product leadership team.  The Associate Director Data Solutions Architecture is a key member of Vantive’s Data CoE team and leads the Data and Analytics Architecture working in close collaboration with the Data CoE, business domains and data product delivery.

Responsibilities:

Data Architecture

• Own the domain data models.

• Design data solutions based on business needs (including AI and Automation solutions)

• Lead, advise, mentor and assist data solution architects on the best data architecture approaches to solve business problems

• Partner with AI and Data Governance teams to ensure the interoperability between the data maintained in the data platforms and the Master Data and metadata collections.

• Partner with Enterprise Architecture to ensure all Non-Functional Requirements (e.g., security, performance, availability, privacy, scalability, compliance etc.) are addressed in data products.

• Evaluate, prototype, test and recommend emerging data technologies and platforms from open source or vendors.

• Lead or participate in data domain efforts to build proof of concept prototypes

• Communicate complex technical topics to non-technical business users

• Define data architecture framework and methodology for assessing the health of the data products

• Define data architecture patterns and framework, develop standards for using modern data platforms and data pipelines, and take ownership to define and maintain enterprise data models.

• Create and implement a multi-year plan that supports the organization’s data centric vision via technology enablers.

• Guide the organization-wide adoption and help to increase the data and AI architecture maturity

Data Solutions

• Provide guidance related to cross-functional digital product standards as applied throughout the product delivery teams

• Domain experience in one or more functional areas:

• • Supply Chain

  • Commercial

  • Corporate Functions (Finance, Legal, HR, Procurement)

  • Digital Product Innovation (R&D)

• Provide leadership and cross-functional digital product standards as applied throughout the product delivery teams

• Technology liaison between business stakeholder/product owner and development team

• Support for critical issues with the data solutions (including performance and data quality issues)

• Define Metrics and KPIs that measure the effectiveness of the data solutions in the business domain

• Strong understanding of the software development life cycle models including working in an Agile organization

• Experience in negotiation and communication at a leadership level

• Strong organizational skills, project and time management skills, and multi-tasking abilities

Key Experiences & Attributes:

• Bachelor's or Master's degree in Information Technology or a related field

• 10+ years of experience designing, developing, and delivering data solutions, including atleast 5 years of team leadership.

• Extensive background in mapping Enterprise vision and mission into data domain architecture models and creating value proposition in the use of data as a key asset to make decisions.

• 5+ years of experience in establishing and running data architecture practice for large enterprises

• Ability to rapidly define target architectures in line with modern architecture & design best practices

• Strong understanding of the software development life cycle models including working in an Agile organization

• Demonstrated capability to quickly adapt to and leverage new technologies, platforms, and methodologies.

• Foundational understanding of the key principles of architecture designs.

• Experience in a customer-facing role such as technical support, consulting or solutions architecture.

• Familiarity with data models and industry data standards such as automation and agile architecture.

• Strong communication skills.

• Negotiation skills, long term, and strategic thinking without losing the actual needs, teamwork and fast integration into bigger teams. 

• Understanding of regulated Healthcare industry, GDPR, and other global data privacy design controls

Reasonable Accommodation

Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link

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