Manager Data & Integration Platforms

Blue Cross & Blue Shield of Rhode Island•Providence, RI

1d•$151,900 - $243,100•Hybrid

About The Position

Provide strategic and operational leadership for the enterprise data ecosystem, overseeing the data, ELT, API and AI platforms. Ensures that the organization’s data and integration infrastructure is modern, scalable, secure, and built to support advanced analytics, cloud adoption, and enterprise interoperability. Lead a multidisciplinary engineering and product management team to design, deliver, and optimize data ingestion, transformation, governance, AI and API integrations. Drive best practices for data architecture, platform reliability, integration design, and automation. Collaborate closely with technology, architecture, cybersecurity, analytics, and business stakeholders to ensure data accessibility, quality, and consistency across the enterprise.

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.
Strong work effectively in dynamic, cross-functional environments.
Ability 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.

Nice To Haves

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).

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.
Monitor emerging technology and market trends and update the data and integration platform design practices and tools as capabilities change over time
Oversee architecture and evolution of modern data platforms to enable scalable and reusable integrations and data capabilities supporting analytics, interoperability, and AI use cases following industry best practices.
Drive adoption of modern engineering practices, including CI/CD, infrastructure-as-code, cloud-native architecture, automated testing, and environment standardization.
Enable and govern AI and intelligent integrations across platforms in alignment with enterprise security, privacy, and ethical AI standards.
Implement and enforce data governance, privacy, and security controls, ensuring compliance with architectural standards, regulatory requirements, and organizational policies.
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