Enterprise Solution Architect

Enterprise Solution Architect for E-Protocol System

Location : Wilmington MA or Boston MA (Remote with occasional travel)

The HealthCare domain is a plus, but candidates of other eligible backgrounds are also welcome, if they possess

strong technical expertise and excellent communication skills

Key Responsibilities

Lead the end-to-end solution architecture for the

E-Protocol

platform, ensuring it can capture structured protocol data and drive automation across the study lifecycle.

Translate business pain points (manual drafting, inconsistent templates, heavy rework, fragmented tools) into technical requirements and design patterns.

Define system integrations between E-Protocol and downstream applications

through APIs, event-driven messaging, and canonical data models.

Design supporting services such as rules validation, terminology / vocabulary management, scheduling logic, and automated quality checks.

Ensure the architecture supports compliance, auditability, data lineage, and traceability in a regulated environment.

Collaborate with the client’s IT / Digital team to align the E-Protocol solution with in-flight digital initiatives and long-term enterprise architecture standards.

Required Skill Set

Deep experience in

enterprise and solution architecture , ideally in complex, regulated industries.

Hands-on expertise with event-driven and

workflow orchestration platforms

(e.g., Camunda, Pega, Decisions, or equivalent) in a Microsoft-based environment.

Strong knowledge of

API integration, canonical data models, and data orchestration

across multiple applications.

Experience with document and content management systems that use metadata and templates to generate structured content.

Familiarity with rules engines, terminology services, and data validation frameworks.

Background in data integrity and compliance for highly regulated environments (life sciences, healthcare, financial services, or equivalent).

Proven ability to lead solution workshops, produce design artifacts, and partner with both technical teams and business stakeholders.

Integration and Ingestion

– creation of an integration framework to accept the different formats (unstructured, API, XLS, PDF, TXT) and convert to a standard internal format (e.g., using AI).

Track the metadata

for the study in a standardized manner.

Workflow

– define a workflow to track the end-to-end processes (submission to receiving results).

Escalation / Timeouts

Resubmission

– define process to track and resubmit (deviation, amendment, revert back from earlier stages / flow) a study when values / requirements change.

Governance / Data Management

– standardization of fields and terminology (create a MDM, glossary and source of truth system).

Audit Trail

– define an audit framework to track every stage of the process.

Decision Making

– drive team consensus on tooling, processing.

Documentation

– creating technical artifacts (C4 / UML, etc.), DB diagramming tools.

Data Bricks, Python, scientific report writing.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

Information Services

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