Job description - MDM Solution architect
Location - Hybrid - At least 3 days a week onsite in Erie, PA
Role Summary:
As the MDM solutions architect you will play a key role in enabling the MDM strategy for Erie
insurance. Provide architectural guidance on MDM initiative, while managing multiple
stakeholder priorities. Lead the multiple value streams encompassing MDM including but not
limited to data quality, data governance and integration to upstream and downstream systems.
Interpret business needs, assesses solution choices, apply technology, and provide project
guidance within a long-term enterprise lens and create future-state architectures.
Lead high level design sessions, capturing the results in artifacts, and ensuring the architectural
design is realized through delivery for multiple enterprise stakeholders. Design and implement
scalable, modern data architectures that ensure accuracy, consistency, and accessibility across
the organization. Collaborate closely with data engineering, analytics, and business partners to
align MDM initiative with enterprise goals and deliver trusted, high-quality data solutions that
power decision-making.
Collaborate with team members for technical validation during design and planning phases and
monitor project execution and interpret architectural tradeoffs occurring during delivery.
Experience & Skills
• More than 15 years of experience in delivering enterprise solutions for large BFSI
organizations
• At least 8 years' experience in implementing enterprise data transformation programs
• Proficiency with industry leading Master Data Management (MDM) tools such as
Informatica MDM, Reltio, SAP MDG, or IBM InfoSphere and experience in leading end to
end implementation
• Proven experience architecting MDM solutions and participating in end-to-end
implementation journeys at scale within major organizations.
• Good program management experience including leveraging tools such as RAID, JIRA
• Excellent communication and inter personal skills
• Hands-on experience designing and implementing enterprise data architectures that
promote data quality and consistency.
• Strong understanding of data integration, governance, metadata management, and data
stewardship principles
• Experience with data modeling, APIs, ETL design, and modern cloud data platforms (AWS,
Azure, or similar
• Proven ability to collaborate across disciplines to define strategy and deliver scalable data
solutions