MS&AD Insurance Group Holdings, Inc.<\/a>, one of the world\u2019s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business\u2019s unique risks.<\/span><\/p><\/p>
Position Overview<\/b><\/p>
We are seeking a seasoned\u00a0Enterprise Data & AI Architect<\/b>\u00a0at the Lead\/Principal level to serve as the technical authority and strategic design leader for MSIG USA's enterprise data platform and AI ecosystem. This is one of the most impactful and senior individual contributor roles within our Data, Analytics & AI organization.<\/p>
<\/p>
You will be responsible for defining the\u00a0overarching architecture<\/b>\u00a0across our data platforms, AI\/ML systems, data governance frameworks, and integration patterns \u2014 ensuring they are cohesive, scalable, secure, and aligned with our P&C insurance business strategy. You will set the technical direction, establish engineering standards, guide platform decisions, and serve as a trusted advisor to the CDAO, technology leadership, and business domain leaders across Underwriting, Claims, Actuarial, Finance, and Reinsurance.<\/p>
This is a role for a deeply technical, intellectually curious architect who is equally comfortable shaping long-term strategies and rolling up their sleeves to validate designs, prototype solutions, and guide engineering teams through complex delivery challenges.<\/p>
<\/p>
Key Responsibilities<\/b><\/p>
Enterprise Architecture Strategy & Vision<\/b><\/p>Define and own the\u00a0enterprise data and AI architecture blueprint<\/b>\u00a0for MSIG USA, covering data ingestion, storage, transformation, serving, governance, and AI\/ML deployment.<\/li>Establish the\u00a0target state architecture<\/b>\u00a0across cloud platforms, data products, AI systems, and integration patterns \u2014 with a clear, pragmatic roadmap from current to future state.<\/li>Lead\u00a0architecture governance<\/b>\u00a0\u2014 chairing design reviews, evaluating technology proposals, and enforcing standards across data engineering, AI\/ML, and analytics teams.<\/li>Translate MSIG USA's business strategy and regulatory obligations into\u00a0concrete, actionable architectural decisions<\/b>\u00a0with well-documented tradeoffs.<\/li>Serve as the primary\u00a0technical liaison<\/b>\u00a0between the CDAO, IT leadership, and enterprise architecture functions across MS&AD Insurance Group.<\/li><\/ul> Data Platform Architecture<\/b><\/p>Architect and evolve MSIG USA's\u00a0hybrid data platform<\/b>\u00a0built on\u00a0Microsoft Fabric, Databricks, and Azure Data Lake (OneLake)<\/b>\u00a0\u2014 ensuring the platform supports batch, streaming, and real-time data workloads across all insurance domains.<\/li>Design the\u00a0Medallion (Bronze\/Silver\/Gold) architecture<\/b>\u00a0and enforce lakehouse best practices including Delta Lake, Unity Catalog, and data product publishing patterns aligned to\u00a0Data Mesh<\/b>\u00a0principles.<\/li>Define\u00a0data modeling standards<\/b>\u00a0across entity types \u2014 Policy, Customer\/Party, Claims, Exposure, Premium, Loss, and Reinsurance \u2014 ensuring consistency across the enterprise.<\/li>Oversee the architecture of the\u00a0Master Data Management (MDM) platform<\/b>\u00a0(Profisee) and its integration with upstream policy systems, downstream analytics, and the data lakehouse.<\/li>Design enterprise\u00a0data integration patterns<\/b>\u00a0\u2014 API-first, event-driven, and ETL\/ELT architectures \u2014 connecting policy administration systems, claims platforms, financial systems, and external data providers to the central data platform.<\/li>Ensure platform architecture meets\u00a0high availability, disaster recovery, scalability, and cost efficiency<\/b>\u00a0requirements for a regulated insurance environment.<\/li><\/ul> AI & Machine Learning Architecture<\/b><\/p>Define the\u00a0enterprise AI\/ML architecture<\/b>\u00a0\u2014 spanning model development, training, deployment, monitoring, and governance \u2014 built on\u00a0Databricks Mosaic AI, Azure Machine Learning, and Azure OpenAI<\/b>.<\/li>Architect the\u00a0MLOps platform<\/b>\u00a0including CI\/CD pipelines for ML models, feature store design, model registry, experiment tracking (MLflow), and production model serving.<\/li>Design\u00a0Generative AI and LLM architectures<\/b>\u00a0\u2014 including Retrieval-Augmented Generation (RAG) systems, agentic frameworks, prompt management, and responsible AI guardrails \u2014 for insurance use cases across underwriting, claims, and actuarial functions.<\/li>Establish\u00a0AI governance and model risk management frameworks<\/b>\u00a0ensuring all production AI systems are explainable, auditable, and compliant with regulatory expectations.<\/li>Evaluate and recommend\u00a0foundational models, AI platforms, and emerging technologies<\/b>\u00a0\u2014 maintaining an architectural view of the evolving AI landscape and its applicability to P&C insurance.<\/li><\/ul> Data Governance & Security Architecture<\/b><\/p>Design the enterprise\u00a0data governance architecture<\/b>\u00a0in partnership with the Data Governance function \u2014 covering data cataloging, lineage, classification, quality, and stewardship workflows using\u00a0Microsoft Purview<\/b>.<\/li>Define\u00a0data access control and security architecture<\/b>\u00a0\u2014 including role-based access control (RBAC), column\/row-level security, data masking, and encryption standards across all platform layers.<\/li>Ensure architecture adherence to\u00a0regulatory and compliance requirements<\/b>\u00a0including NAIC, SOC 2, CCPA, and GDPR as applicable to insurance data.<\/li>Architect\u00a0data lineage and audit trails<\/b>\u00a0to support actuarial certification, financial audit readiness, and regulatory examination requirements.<\/li><\/ul> Engineering Standards, Patterns & Enablement<\/b><\/p>Define and maintain the\u00a0enterprise data and AI engineering standards<\/b>\u00a0\u2014 including coding standards, design patterns, testing frameworks, CI\/CD practices, and documentation requirements.<\/li>Create and curate a\u00a0reference architecture library<\/b>\u00a0of reusable patterns for ingestion, transformation, serving, AI deployment, and integration \u2014 reducing duplication and accelerating delivery across domain teams.<\/li>Conduct\u00a0architecture reviews and design critiques<\/b>\u00a0for major initiatives, providing structured guidance that balances technical rigor with delivery pragmatism.<\/li>Mentor and coach senior data engineers, ML engineers, and domain architects \u2014 elevating the overall technical quality and architectural thinking across the team.<\/li> Stay current with the\u00a0evolving data and AI technology landscape<\/b>\u00a0and bring forward well-reasoned recommendations for platform evolution.<\/li><\/ul> Cross-Functional Leadership & Stakeholder Engagement<\/b><\/p>Partner with\u00a0Underwriting, Claims, Actuarial, Finance, and Reinsurance<\/b>\u00a0business leaders to understand domain data needs and translate them into durable architectural solutions.<\/li>Collaborate with\u00a0IT, Enterprise Architecture, Information Security, and Vendor Management<\/b>\u00a0to ensure data and AI architecture is aligned with enterprise technology standards and procurement strategy.<\/li>Represent data and AI architecture in\u00a0vendor evaluations, RFPs, and technology due diligence<\/b>\u00a0\u2014 providing structured assessments of platform capabilities, integration complexity, and total cost of ownership.<\/li>Produce executive-ready\u00a0architecture documentation, roadmaps, and position papers<\/b>\u00a0for CDAO and senior leadership consumption.<\/li><\/ul> <\/p>
Required Qualifications<\/b><\/p>
Education<\/b><\/p>Bachelor\u2019s degree in computer science, Information Systems, Data Engineering, or a related technical field. Master's degree strongly preferred.<\/li><\/ul>Experience<\/b><\/p>8\u201312 years<\/b>\u00a0of progressive experience in data architecture, data engineering, or enterprise architecture roles \u2014 with at least\u00a05 years in a senior or lead architect capacity<\/b>.<\/li>Demonstrated experience designing and delivering\u00a0enterprise-scale data platforms<\/b>\u00a0in cloud environments, with a strong preference for\u00a0Microsoft Azure and Databricks<\/b>.<\/li>Proven track record of architecting\u00a0production AI\/ML systems<\/b>\u00a0including MLOps pipelines, LLM-powered applications, and agentic frameworks.<\/li>Significant experience in\u00a0financial services, insurance, or similarly regulated industries<\/b>\u00a0\u2014 P&C insurance domain experience strongly preferred.<\/li>Experience working directly with C-suite and senior business leaders as a technical advisor and architecture authority.<\/li><\/ul>
SALARY: The estimated salary range for this position is $180,000.00 - $230,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate\u2019s relevant experience, location, and other job-related factors.<\/p>
It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group! \u00a0<\/p>
About UsAt Selective, we don't just insure uniquely, we employ uniqueness.Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year.OverviewApplicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time<\/em>.ResponsibilitiesWorks with Delivery Managers to balance rapid delivery of business solutions with sound technical solutions and on development team member competencies, skills, and overall productivity.<\/li> Collaborate with Delivery teams to define, select, and implement data, analytics, and information solutions that consider business objectives and meet non-functional requirements.<\/li> Assist the Enterprise Architect in the planning process for new business initiatives through buy\/build recommendations, vendor solutions evaluations, assessing designs against company standards, evaluating technical risk and define and align technology and roadmaps with business strategies.<\/li> Monitor trends and evaluates emerging technologies that are candidates for the future state data and analytics architecture or evolving business strategy and supports vendor analysis and proofs-of-concept to validate new technologies, solutions, and designs as needed.<\/li> Provide mentorship and guidance to Junior Architects and Developers in data and analytics technologies, best practices, innovation, designs, and processes.<\/li> Assists with tier 2 application production issues and challenging issues in any phase of the development lifecycle. Supports continuous improvement by identifying and proposing tuning opportunities. <\/li> Identifies opportunities to increase efficiency, quality, and speed to market. Proposes actions to realize opportunities and advocates for DevOps\/DataOps opportunities.QualificationsBachelors Degree in Computer Science, or other related field, or equivalent work experience.<\/li> 7 to 10 years of experience in Data and Analytics Architecture<\/li> P&C Insurance industry experience preferred.<\/li> Understanding of Data Design methodologies and their application in complex multi-tier systems.<\/li> Knowledge of Real Time, Service Oriented Architecture (SOA) and Web Oriented Architecture (WOA) <\/li> Strong understanding of Data warehouses, Data Marts and Data Lake.<\/li> Ability to develop and architect solutions based on non-functional requirements.<\/li> Experience with Power BI, Azure ML, Azure Databricks, IICS and\/or Informatica PowerCenter is preferred. <\/li> Experience architecting and data modeling in Azure ecosystem is preferred.<\/li> Superior technical knowledge in Data Quality, Standards, Governance, and Design<\/li> Ability to effectively work well with people in other departments and\/or outside of the enterprise.<\/li> Strong verbal, written, and interpersonal communication and the ability to communicate with audiences at varying technical levels.Total RewardsSelective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process.Pay RangeAdditional InformationSelective is an Equal Employment Opportunity employer. That means we respect and value every individuals unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.<\/em><\/p><\/body><\/html>","company":"Selective Insurance","city":"Short Hills","inferred_city":"Short hills","inferred_city_with_inferred_state":"New jersey | Short hills","inferred_cbsa":"New York-Newark-Jersey City, NY-NJ-PA","fips":"35620","is_metropolitan":true,"state":"NJ","inferred_state":"New jersey","country":"US","inferred_country":"United states","group_key_loc":"2ea245584e1db3780b2e6af50782fc66","group_key_date":"24d5c34b297ace5b0ea531ed9fb1b3eb","group_key_locdate":"8cd862ebc0f51f212400c96ccff24547","squirrel_codes":[]},"sort":[1786492800000]},{"_index":"job__1736258560_877903","_type":"_doc","_id":"216085550","_score":null,"_source":{"created":"2026-08-15T06:34:55.398953+00:00","unique_id":"31694748-0f1b-5f30-87f0-64971949fb72","key":"e8676a840179490facebd6b93d7e4323","title":"Associate Director, Data Engineering and Architect","inferred_title":"Associate director data engineering and architect","salary_offered":null,"inferred_salary_from":164000,"inferred_salary_to":164000,"inferred_salary_yearly_from":164000,"inferred_salary_yearly_average":164000,"inferred_salary_yearly_to":164000,"inferred_salary_yearly_range_spread":0,"inferred_salary_currency":"USD","inferred_salary_time_unit":"yearly","inferred_max_experience":10,"inferred_average_experience":10,"inferred_min_experience":10,"inferred_seniority_level":"Executive Level","sign_on_bonus":null,"url":"https:\/\/www.careeronestop.org\/Toolkit\/Jobs\/find-jobs-details.aspx?jvid=0f4ae4ba8e834b1a9ac54bc36947101b8003","type":null,"category":null,"board":"careeronestop","post_date":"2026-08-12","is_remote":false,"html_description":" Compensation<\/h3> Hours Per Week<\/h3> Number Of Positions<\/h3> Job Description<\/h3> For patients, for each other, and for the future of science, we're in. Are you?<\/p>
About the Role:<\/p>
We are seeking an experienced Emerging Data Platform Technologies Architect to drive the design, implementation, and optimization of modern data solutions within Insmed. This role will focus on leveraging cutting-edge cloud technologies, data integration, quality tools, and data platforms to enable scalable, high-performance data ecosystems. The ideal candidate will have a strong background in data architecture, engineering, cloud computing, analytics, and experience in biopharma data management, regulatory compliance, and AI\/ML integration. This role will engage with external Managed Services, internal business functions, and mentor the development team members.<\/p>
What You'll Do:<\/p>
In this role, you'll have the opportunity to design and implement scalable, secure, and cloud-native data platforms using AWS, GCP, and Snowflake to enhance analytics, AI\/ML, and real-time processing capabilities. You'll also:<\/p>
Lead the data engineering development including data pipelines framework and ETL workflows leveraging Qlik Talend, Python, advanced SQL, AWS and GCP services. Implement serverless architecture and containerization (Docker, Kubernetes).<\/p>
Lead AI capabilities development within data platforms, enable AI\/ML workflows and ML Ops for advanced analytics and predictive modeling.<\/p>
Design and Implement data governance frameworks using tools like Talend ensuring data quality, integrity, lineage, and compliance.<\/p>
Develop monitoring and observability strategies and implement them to ensure system reliability, data consistency and reporting accuracy.<\/p>
Establish best practices for data modeling, metadata management, and data cataloging. Ensure compliance with biopharma industry regulations (HIPAA, GxP, GDPR, etc.).<\/p>
Optimize data operations, streamline data reconciliation by task automation using scripting languages such as Python or JavaScript.<\/p>
Monitor and optimize data ingestion, transformation query performance and manage workloads to ensure efficient and cost-effective data processing.<\/p>
Develop technology roadmaps aligned with Insmed' s R&D, clinical, commercial analytics, and regulatory requirements.<\/p>
Collaborate with business stakeholders to understand data needs and translate them into actionable data solutions on Snowflake.<\/p>
Drive innovation in data management, integration, and governance frameworks.<\/p>
Who You Are:<\/p>
You have a minimum of a Bachelor's degree in Science, Business or Technology) as well as 10+ years of experience in data architecture, cloud computing, and data engineering.<\/p>
You are or you have:<\/p>
Expertise in Snowflake, Talend, Qlik, AWS, GCP, and modern data engineering tools.<\/p>
Highly preferred Snowflake certifications, Talend certification or GCP Professional Data Engineer<\/p>
Strong background in ETL, data lakes, data warehousing, and streaming architectures.<\/p>
Experience in biopharma, life sciences, or healthcare, with knowledge of regulatory compliance is a must<\/p>
Proficiency in SQL, Python, Spark, and cloud-native analytics services.<\/p>
Understanding of AI\/ML integration and MLOps for data-driven insights.<\/p>
Excellent problem-solving and ability to effectively communicate technical concepts to both technical and non-technical stakeholders.<\/p>
Nice to have (but not required):<\/p>
Preferred experience with commercial systems like Veeva CRM, Salesforce health cloud.<\/p>
Preferred experience with data visualization tools like Qlik Sense, or similar tools.<\/p>
Where You'll Work<\/p>
This is a hybrid role based out of our Bridgewater, NJ office. You'll have the option to work remotely, with in-person collaboration two days a week.<\/p>
Travel Requirements<\/p>
Minimal travel expected<\/p> #LI-EG1 #hybrid
Pay Range:<\/p>
$164,000.00-213,000.00 Annual<\/p>
Life at Insmed<\/p>
At Insmed, you'll find a culture as human as our mission-intentionally designed for the people behind it. You deserve a workplace that reflects the same care you bring to your work each day, with support for how you work, how you grow, and how you show up for patients, your team, and yourself.<\/p>
Highlights of our U.S. offerings include:<\/p>
Comprehensive medical, dental, and vision coverage and mental health support, annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP)<\/p>
Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration<\/p> 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP), and company-paid life and disability insurance
Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities<\/p>
Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back<\/p>
Eligibility for specific programs may vary and is subject to the terms and conditions of each plan.<\/p>
Current Insmed Employees: Please apply via the Jobs Hub in Workday.<\/p>
Insmed Incorporated is an Equal Opportunity employer. We do not discriminate in hiring on the basis of physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information, please refer to our Equal Employment Opportunity and Non-Discrimination Statement on our Careers site.<\/p>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<\/p>
Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement.<\/p>
Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at TotalRewards@insmed.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.<\/p>
Applications are accepted for 5 calendar days from the date posted or until the position is filled.<\/p>
Apply here: https:\/\/www.aplitrak.com\/?adid=YmJnZW5lcmljLjE5MjQ1LjEwNDEyQGluc21lZGNvbXAuYXBsaXRyYWsuY29t<\/p>
Place of Work<\/h3> On-site<\/p>
Requisition ID<\/h3> R3509-3486
FAQs
Here are some frequently asked questions related to
Data Architects job postings and salaries in
New Jersey:
Q
What are the requirements for a Data Architect job in New Jersey?
A
Data Architect job requirements in New Jersey typically include a bachelor’s or master’s degree in Computer Science, Information Technology, or a related field, along with several years of experience in data design, architecture, warehousing, and analytics. Proficiency in data modeling, SQL, ETL, and familiarity with cloud services and big data technologies are often required. Soft skills such as problem-solving, communication, and leadership are also important.
Q
What is the average salary for a Data Architect in New Jersey?
A
While specific salaries can vary, the average salary for a Data Architect in New Jersey is competitive and can be influenced by factors such as the individual's level of experience, education, the specific industry, and the size and type of company. Generally, Data Architects in New Jersey can expect a salary that is consistent with the high cost of living in the state, making it an attractive location for professionals in the field.
Q
Which industries in New Jersey have the most demand for Data Architects?
A
In New Jersey, industries such as pharmaceuticals, finance, healthcare, telecommunications, and technology have a strong demand for Data Architects. The state's proximity to major cities and a thriving business environment contribute to opportunities across diverse sectors that are looking to leverage data for strategic decision-making and innovation.
Q
How can I find Data Architect job openings in New Jersey?
A
Data Architect job openings in New Jersey can be found through various channels including online job boards such as LinkedIn, Indeed, and Glassdoor, as well as through company career pages. Networking events, local tech meetups, professional associations like the Data Management Association (DAMA), and staffing agencies specializing in technology also serve as good resources for discovering job opportunities in the data architecture field within the state.
List of Job Postings for
Data Architects in
New Jersey
Explore our extensive list of
Data Architects job postings in
New Jersey. Whether you're seeking your first job or considering a career move, you'll find
a diverse range of opportunities. Click on the job titles to access more details and application links.
350 Job Postings
Data Architects in
New Jersey
