Vice President Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Seven or more years of relevant experience in technology governance, architecture review, or platform engineering within a large enterprise environment.
• Proficiency in Python and experience building production-quality automation, evaluation pipelines, or workflow services.
• Experience designing and building knowledge bases and RAG solutions, including chunking strategies, embeddings, semantic retrieval, and grounded response generation.
• Working knowledge of vector search and storage technologies (for example, OpenSearch or Pinecone) and large language model platforms (for example, Amazon Bedrock or Azure OpenAI).
• Understanding of the applied artificial intelligence lifecycle, including prompt design, evaluation, and output governance for document processing use cases.
• Knowledge of enterprise content and document management concepts, such as capture, metadata management, lifecycle governance, retention, and search.
• Experience with cloud services used for document intelligence workflows (for example, object storage, event streaming, and document extraction services).
• Ability to apply structured, rubric-based evaluation methods and explain recommendations in governance forums.
• Ability to write clear capability descriptions, assessment reports, and decision documentation for architecture audiences.
• Demonstrated ability to manage competing priorities and deliver high-quality outputs under time constraints.

Nice To Haves

• Experience in regulated industries supporting content in legal, compliance, risk, or operations contexts.
• Experience using an enterprise technology governance intake and review platform.
• Familiarity with domain model structures (category, domain, capability) and technology lifecycle stages (invest, maintain, divest, decommission).
• Experience building agentic workflows or multi-agent systems using common orchestration frameworks (for example, LangChain or LlamaIndex).
• Familiarity with graph databases (for example, Amazon Neptune or Neo4j) for knowledge graph development and relationship querying.
• Experience with intelligent document processing capabilities such as optical character recognition, classification, and extraction validation.
• Relevant cloud or generative artificial intelligence certification.

Responsibilities

• Serve as the document management domain intelligence lead, owning technology preferences and decision guidance for the domain.
• Evaluate inbound technology requests (vendor, open-source, and internally developed), map requests to existing capabilities, and route items for further review when needed.
• Maintain and improve the domain capability taxonomy, ensuring capabilities are current, clearly described, and consistently classified.
• Identify capability gaps between platform offerings and engineering demand, and translate gaps into structured inputs for the platform roadmap.
• Apply a rubric-based assessment method consistently, producing documented, defensible recommendations and decision records.
• Design and maintain a governed, queryable knowledge base covering capability definitions, assessment history, decision records, and platform non-functional requirements.
• Implement RAG pipelines over authoritative documentation to deliver accurate, citation-backed responses for engineers and stakeholders.
• Develop agentic evaluation workflows that retrieve relevant capabilities and prior assessments, draft preliminary recommendations, and score requests against the rubric.
• Build and maintain natural-language query experiences that help users understand capabilities, preferences, and outcomes with governed responses.
• Instrument governance and assessment workflows with measurable metrics (for example, throughput, coverage, and taxonomy drift) and publish reporting for governance stakeholders.
• Create proofs of concept when needed to validate assessments and demonstrate whether requests align to existing services or require new capability investment.