Manager Data & Integration Platforms

About the role

Provide strategic and operational leadership for the enterprise data ecosystem, overseeing the data, ELT, API and AI platforms. Ensure the organization's data and integration infrastructure is modern, scalable, secure, and supports advanced analytics, cloud adoption, and enterprise interoperability.

Responsibilities

• Define and execute strategy for enterprise data, integration, AI and API platforms aligned to business, architecture, and cloud objectives.
• Own and evolve data, AI, API, and integration platforms as productized capabilities, driving governance, intake, prioritization, and cross-team alignment to deliver measurable business value.
• Manage platform budgets, vendor relationships, operational metrics, and continuous optimization.
• Establish and govern enterprise standards for API design, integration patterns, security, observability, and lifecycle management while owning and operating the API and integration platforms that enable scalable service-to-service communication.
• Maintain documentation including standards, SOPs, release notes, and platform governance artifacts.
• Communicate platform vision, roadmaps, KPIs, opportunities and risks and operational health to technology and business stakeholders in clear, concise, and accessible terms.
• Provide leadership and coaching to data, integration, and API product managers and engineers, fostering a high-performing, collaborative, and growth-oriented team environment.
• Perform other duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; or an equivalent combination of education and related work experience.
• Five to seven years of experience in data engineering, integration engineering, cloud engineering, or related disciplines.
• Three to five years of leadership experience in team or technical management roles.
• Strong expertise in data architecture, ELT frameworks, data warehousing, lakehouse patterns, and metadata management.
• Experience with Snowflake, Azure Data Platforms, Netezza, Microsoft SQL, PostgreSQL and Cosmos.
• Knowledge of data governance frameworks, data quality programs, and regulatory compliance.
• Proficiency with cloud platforms (e.g., Azure), including storage, compute, integration, and data services.
• Experience with API management platforms (Google Apigee, Azure APIM), RESTful service design, messaging systems, and event-driven architectures.
• Strong understanding of SQL, Python, and modern data pipeline tooling (e.g., Matillion, Databricks, Azure Data Factory, dbt, Datastage).
• Knowledge of CI/CD, Git-based workflows, containerization, and infrastructure-as-code tools.
• Excellent communication skills with the ability to translate technical concepts for business audiences.
• Demonstrated ability to lead teams, prioritize diverse workstreams, and deliver high-quality outcomes in a fast-paced environment.
• Work effectively in dynamic, cross-functional environments.
• Able to lead multiple complex initiatives in a fast-paced environment.
• Strategic and critical thinking with a focus on customer experience and business value.
• Strong organizing skills, with the ability to prioritize and respond to shifting deadlines.
• Problem-solving, strategic thinking, and stakeholder management capabilities.

Qualifications

• Master’s degree in Computer Science, Engineering, IT Management, or related field.
• Certifications in cloud technologies (Azure preferred), data engineering, or integration platforms.
• Experience leading large-scale data modernization or cloud modernization initiatives.
• Knowledge in prompt engineering, LLM tuning and NLP tasks.
• Experience with observability for prompts/models (hallucination detection, guardrails, cost/latency tracking).

Skills

• Strong expertise in data architecture, ELT frameworks, data warehousing, lakehouse patterns, and metadata management.
• Experience with Snowflake, Azure Data Platforms, Netezza, Microsoft SQL, PostgreSQL and Cosmos.
• Knowledge of data governance frameworks, data quality programs, and regulatory compliance.
• Proficiency with cloud platforms (e.g., Azure), including storage, compute, integration, and data services.
• Experience with API management platforms (Google Apigee, Azure APIM), RESTful service design, messaging systems, and event-driven architectures.
• Strong understanding of SQL, Python, and modern data pipeline tooling (e.g., Matillion, Databricks, Azure Data Factory, dbt, Datastage).
• Knowledge of CI/CD, Git-based workflows, containerization, and infrastructure-as-code tools.
• Excellent communication skills with the ability to translate technical concepts for business audiences.
• Strong organizing skills, with the ability to prioritize and respond to shifting deadlines.
• Strategic and critical thinking with a focus on customer experience and business value.
• Problem-solving, strategic thinking, and stakeholder management capabilities.

Benefits

• Flexible work arrangements that include remote and hybrid opportunities and paid time off.
• Tuition reimbursement and assistance with student-loan repayment.
• Health, dental, and vision insurance.
• Programs that support mental health and well-being.
• Competitive pay and bonuses.
• Investment plans.
• Growth and development opportunities.
• Paid time to volunteer in communities across Rhode Island.

Pay

Pay Range $151,900.00 - $243,100.00

Schedule

Role BCBSRI is headquartered in downtown Providence, conveniently located near the train station and bus terminal. We actively support associate well-being and work/life balance and offer the following schedules, based on role:

• In-office: onsite 5 days per week
• Hybrid: onsite 2-4 days per week
• Remote: onsite 0-1 days per week.

Permitted to reside in the following states, pending approval from the Human Resources Department: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia