Über
Role Overview
We are seeking a
Technical Architect (TA)
with deep expertise in
Data, Analytics, and Artificial Intelligence (AI)
to join the
IT Enterprise Architecture
organization. This role is accountable for
proactively leading data-, analytics-, and AI-driven technology transformation initiatives
and enabling measurable business outcomes across the enterprise.
The Technical Architect will play a critical role in
transforming local, legacy, data-driven processes, and systems into centralized, scalable, and group-wide platforms , while ensuring alignment with enterprise architecture standards and business strategy.
Technical Architects provide technical leadership across
analysis, design, facilitation, and execution , supporting the evolution of enterprise
Data, Analytics, and AI capabilities
and the associated application portfolios and technology stacks. The role owns the creation of key architectural deliverables such as
target-state architectures, transformation roadmaps, standards, and guidelines
to enable successful project delivery and long-term strategic outcomes.
This position is
based in the USA
and ensures that
Data, Analytics, and AI architecture vision, principles, and standards
are consistently executed through a
common enterprise framework , with a strong emphasis on
cloud-based data platforms, AI enablement, and data governance .
The ideal candidate will help advance organizational directives around
simplification, modernization, and innovation
by providing architectural leadership in enterprise data platforms, integration components, and
AI-enabled data strategies .
Key Responsibilities Assist in the development of a
multi-year Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with Data & Analytics Enterprise Architects. Drive
standardization of Data, Analytics, and AI technology standards, principles, and guidelines
across multiple business entities. Define and maintain
technical standards
for enterprise data management, analytics platforms, and AI enablement capabilities. Design and guide
data-centric and AI-enabled initiatives , supporting the transition from traditional data architectures to
next-generation cloud, analytics, and AI platforms . Act as an
evangelist and ambassador
for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management Collaborate closely with
Business Solutions teams, Technology Architects, and Enterprise Data Architects
across initiatives and implementations. Identify technology-related business pain points by mapping
business capabilities to current platforms , leveraging EA practices and participating in
innovation activities , including AI adoption. Enable IT development and infrastructure teams to make
informed technology decisions
through frameworks, reference architectures, standards, and reusable patterns. Identify
technical risks, architectural gaps, and vulnerabilities
that could impact project delivery or lead to post-release defects. Reduce cost and complexity through
standardization, reuse, and rationalization
of data, analytics, and AI platforms. Partner with EA and TA peers (enterprise, solution, and business architects) to derive the
future-state technology architecture , aligned to business strategy and external trends. Define
migration and transformation plans
to close gaps between current and target states, in alignment with Business Solutions and Business Technology Architects. Support governance, assurance, and compliance activities to ensure alignment with
enterprise architecture standards and policies . Assess and articulate the
organizational, skills, process, and financial impact
of changes to the application portfolio, data platforms, and AI stack. Define and govern
enterprise AI architecture standards , including model lifecycle management, MLOps, and AI platform integration. Ensure responsible and compliant AI adoption, aligned with
AI governance, model risk management, data privacy, and security controls . Guide the integration of
AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. Collaborate with Data Science, Engineering, Security, and Risk teams to enable
scalable, secure, and explainable AI solutions . Establish architectural patterns for
AI model deployment, monitoring, versioning, and retraining
in cloud environments. Evaluate emerging AI technologies, tools, and platforms and provide
strategic recommendations
for enterprise adoption. Your Profile
4+ years of experience in
Enterprise Architecture or Technical Architecture . Bachelor's or Master's degree in
Computer Science, Engineering, Information Systems, Mathematics, or Business
(or equivalent). Strong experience with
cloud platforms and services , including: Azure (e.g.; Azure AI Studio, Azure Data Services and tools) AWS (e.g.; Amazon Bedrock, Sagemaker, Data Services and tools) Databricks Hands-on experience with enterprise data concepts, including: Data Intake and Ingestion Data Warehousing Data Lakes / Lakehouse architectures ETL / ELT Interactive and operational reporting Statistical and regulatory reporting Master Data Management (MDM) Data Governance, Quality, Security, Audit, Balance & Control Solid understanding of
enterprise architecture practices , including: Architectural patterns Roadmaps Architecture Review Boards Solution Design Boards Experience defining
data management and AI roadmaps , cloud-based services, and reusable architectural patterns. Experience integrating
operational data with enterprise data lakes . Strong understanding of
data integration challenges and solution patterns . Experience with
statistical and data science languages
such as
Python and R
(strong asset). Exposure to
AI/ML concepts , including model development, deployment, monitoring, and MLOps (required). Familiarity with
Generative AI concepts , AI platforms, and enterprise adoption considerations (strong asset). Strong business acumen with deep understanding of: Financial systems Corporate and back-office systems Enterprise data management, analytics, and AI technology landscape Strong problem-solving skills, unquestioned integrity, and high collaboration capability. Passion for
innovation, continuous improvement, modernization, and change management . Excellent written and verbal communication skills, with the ability to communicate effectively at all levels. High sense of
ownership, accountability, and pride in delivered outcomes .
At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location.
The base salary range anticipated for this position is
$141,800 - $207,900
plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.