Chief Enterprise Architect - Data Technology

Chicago, IL, United States

Reporting to the Head of IT Data Technology, Core Specialty is seeking an accomplished and visionary Chief Enterprise Architect . This is a unique opportunity to take a growing team of engineers, architects, & analysts to the next level. Your role is instrumental in leading the day-to-day execution of our organization's data-driven strategy You bring with you experience across a variety of technology stacks and a track record of leading high functioning teams that can deliver at scale within a fast-paced environment. You have a forward-thinking mindset and know how to break a strategy into tactical deliverables. You are passionate about the data analytics space and bring that passion with you every day. You are anchored with a growth mentality - whether that is your team, technology, or personal growth.

Key Accountabilities/Deliverables:

Collaborate with the Head of Data Technology to develop and execute the enterprise-wide analytics strategy aligned with organizational goals

Define opportunities to create a competitive advantage through data projects

Lead the design and implementation of scalable and efficient data models, data pipelines, and data integration solutions to support various business initiatives

Provide leadership and technical direction for data engineers and architects

Partner with the Head of Data Technology to define KPIs, establish performance metrics, and monitor the effectiveness of analytics initiatives, providing regular reports and insights to leadership

Drive innovation by staying abreast of industry trends, emerging technologies, and best practices in data analytics

Lead and mentor a team of data engineers, providing technical guidance, support, and expertise

Work with Application Development teams (Data Producers) as needed to bring Data Analytics representation to those initiatives

Define repeatable build patterns including the creation of working prototypes (requires the ability to code)

Partner with the Head of IT Data technology to create a Center of Practice for Data Analytics projects - leading to consistency and high quality build practices

Creation of Enterprise-level artifacts for components within the Analytics Platform

Complete health assessments of the data ecosystem as needed and provide recommendations to the Head of IT Applications and Head of IT Data Technologies

Bring a creative mindset to finding solutions

Work with Scrum Masters to define work products as needed

Function as the Product Owner for the tech-debt backlog

Participate in technology and tool assessments as needed

Conduct coding interviews for engineering and architect roles

Technical Knowledge and Understanding: Data Engineering Skills: Proficiency in data manipulation, transformation, and processing. Strong understanding of ETL (Extract, Transform, Load) processes

Programming Languages: Solid programming skills in languages like Python, Java, Scala, or SQL for data manipulation, scripting, and automation.

Cloud Platforms: Hands-on experience with cloud platforms such as AWS (Amazon Web Services), Azure, Azure Synapse Analytics, GCP (Google Cloud Platform), or other providers. Knowledge of cloud-specific data services like AWS S3, Azure Data Lake, Google BigQuery, Snowflake, Azure Databricks

Data Warehousing Concepts: Traditional concepts (Kimball, Inman) and modern approaches - (Data Vault 2.0, Data Mesh)

Database Technologies: Familiarity with various database technologies like SQL databases, NoSQL databases, and distributed data stores.

Big Data Technologies: Knowledge of big data tools and frameworks like Hadoop, Spark, Kafka, Hive

Data Processing and Analysis: Experience with data processing and analysis tools such as Apache Spark, Apache Flink, Pandas, NumPy

Data Pipeline and Workflow Tools: Familiarity with workflow management tools like Apache Airflow, Luigi, or cloud-native services for orchestrating data workflows

Experience: Bachelor's or Master's degree in Computer Science, Information Systems, or related field

Proven experience (15+ years) as a Data Architect, Data Engineer, or similar role within an enterprise setting

Preferred Experience: Experience in the Property & Casualty Insurance industry

Experience creating ingestion and streaming solutions for real-time reporting

Experience building advanced analytic solutions for P&C Insurance (Predictive Models, CAT Models, Financial Forecasting Models, Actuarial Models, Risk Assessments)

Strong understanding of machine learning algorithms, statistical modeling, and data processing techniques

Experience deploying AI/ML solutions

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn

Experience with Azure OpenAI or Azure ML applications

Familiarity with developing ML DevOps Framework

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position.

At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program