Responsibilities:

Solution Design and Architecture

• Design, implement, and maintain integrations between multiple internal and external platforms.
• Define end-to-end solution architectures spanning SaaS, PaaS, on-prem and cloud systems.
• Lead solution design through to build and implementation; guide developers, data engineers, and admins while removing blockers.
• Produce high-quality artifacts (process diagrams, sequence/data-flow diagrams, API specs, data models, non-functional requirements).
• Establish integration patterns (REST/GraphQL APIs, event-driven messaging, ETL/ELT), data contracts, and reference implementations.

Business Development and Marketing

• Design, implement, and maintain integrations between multiple internal and external platforms (e.g., CRM, business intelligence tools, legal platforms, marketing automation systems, and financial systems) to drive automation and operational efficiencies.
• Advance trend analysis reports for various departments, practice, and industry groups to influence business development and marketing strategies.
• Collaborate with the communications and events teams to track the success of marketing campaigns and identify opportunities for optimization.
• Develop and maintain performance dashboards to provide real-time insights into key business development and marketing metrics.

Data Management and Integration

• Partner with the data operations team to extract, transform, and load (ETL) data from marketing platforms, the firm data lake, and external sources.
• Perform administrative tasks within Salesforce, including audits and automation flow development.
• Partner with KM/Data teams to architect data pipelines, authoritative sources, and governed taxonomies/metadata.

Technology Leadership and Strategy

• Serve as the primary technology advisor to business sponsors; translate objectives into clear solution roadmaps and measurable outcomes.
• Provide thought leadership on best practices for data architecture, integration, and business intelligence.
• Assess and recommend tools and technologies to support the firm’s business development and marketing initiatives.
• Ensure the firm stays ahead of trends in business technologies (including AI advancements) and leverages cutting-edge solutions.

Project Management and Operations

• Apply pragmatic project management (Lean/Kanban/iterative) with clear milestones, risks, assumptions, and dependencies.
• Define acceptance criteria and test plans; drive UAT, cutover, change management and user adoption
• Maintain solution runbooks, support models, and knowledge transfer for IT operations.

Security and Compliance

• Embed least-privilege, ethical walls, client confidentiality, data residency, and retention requirements in every design.
• Align with firm policies and client OCGs; partner with InfoSec on threat modeling, DLP, MDM, device posture, and vendor risk.

AI and Innovation

• Lead initiatives to incorporate AI-driven solutions into business development workflows.
• Use AI models to automate and enhance business insights, creating more personalized client interactions and smarter opportunity identification.
• Design responsible AI/RAG use cases with appropriate guardrails, auditability, and privacy.

Qualifications:

• Bachelor’s degree in a technical field, preferably Computer Science, Data Science, Engineering or similar.
• Advanced degree or additional study or experience in a related field (business, management, operations, data science, machine learning, AI, etc.).
• 8-12+ years of experience in enterprise application architecture/solution design, including 4+ years leading cross-functional delivery.
• Demonstrated success delivering complex, integrated business solutions in a law firm or adjacent professional-services environment.
• Strong grasp of business processes in legal (client/matter intake, conflicts/ethical walls, time & billing, pricing, DMS/KM, marketing/CRM, HR/PD).
• Experience working with legal specific technologies, CRM systems, ERM platforms, marketing automation, and experience management tools (e.g., Salesforce, Pardot, Marketo, Introhive, Foundation, Aderant).
• Proficiency in integration, database, and business intelligence technologies (e.g., APIs, SQL, Excel, Power Bi, Tableau, Foundation, Intapp, Smartsheet, Microsoft Fabric).
• Excellent communication, stakeholder management, and the ability to translate technical concepts to non-technical business leaders.
• Strong analytical skills with the ability to translate complex data into actionable insights.
• Proven expertise across:
  • Cloud & Identity: Microsoft 365/Entra ID (AAD), Azure (App Services, Functions, Storage, SQL, Key Vault), conditional access.
  • Content & Collaboration: SharePoint/Teams/Viva, intranet/portal patterns, document automation, e-signature workflows.
  • Legal Systems (familiarity): NetDocuments or iManage; Intapp (Conflicts/Intake/Time); Aderant or Elite 3E; InterAction/CRM; records/ERM; eDiscovery.
  • Integration & Data: API design, message queues, ETL/ELT, data modeling, metadata/taxonomy, search indexing.
  • Dev Practices: CI/CD (Azure DevOps/GitHub), Terraform, test automation, versioning, feature flags.
  • Security & Compliance: SSO/MFA, secrets management, encryption, DLP/IRM, logging/monitoring, audit trails.

Preferred Qualifications

• Experience implementing enterprise search or legal-focused search/insight platforms and RAG/AI augmentation in a governed environment.
• Exposure to knowledge graph/ontology design for legal content and matter data.
• TOGAF or equivalent architecture framework familiarity; PMP/CSM or strong delivery track record.
• Certifications: Microsoft Azure Architect/Administrator/Developer; Power Platform; NetDocuments/iManage admin a plus.
• Core Competencies
  • Systems thinking: sees the whole, not just the parts; anticipates downstream impacts.
  • Communication: converts complexity into clear options and trade-offs for non-technical stakeholders.
  • Influence without authority: guides teams that don’t report to you; builds trust with partners and vendors.
  • Bias to value: ships iteratively with measurable business outcomes and adoption.