Data Architect - Market (Manager)

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long‑term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimise existing business operations, improve clinical outcomes, create a more consumer‑centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. Key Responsibilities Architect and Own the AI Context Platform Design end‑to‑end platform architecture: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving Define scalable patterns for incremental refresh, backfills, re‑embeddings, deduplication, and lineage across unstructured sources Set technical direction for retrieval quality (query strategies, hybrid search, metadata filtering, re‑ranking) with AI engineers Evaluate and select infrastructure, tooling, and cloud services to support platform needs across AWS, Azure, and GCP environments Design and Deliver Semantic and Governed Data Products Architect and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently across the platform Define data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations) Establish standards for discoverability, documentation, and reusability across datasets and indexes Own the dbtor semantic layer tooling strategy and ensure consistent application across workstreams Operational Excellence Own reliability and performance at the platform level: monitoring, alerting, SLAs/SLOs, runbooks, incident response, and post‑mortems Drive cost and latency optimization across Snowflake, lakehouse, and vector infrastructure Set engineering standards for CI/CD, testing, and evaluation (retrieval eval sets, regression tests, online telemetry) AI Safety, Governance, and Compliance Implement security‑by‑design: RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways for agent tools Partner with Security, Legal, and Compliance to define and enforce guardrails for AI access to enterprise knowledge Own governance patterns for sensitive data handling across the platform Lead Through Influence Drive technical roadmap decomposition with product, AI, and application stakeholders Facilitate architectural decisions across teams and functions, building alignment without direct authority Set best practices and mentor engineers via design reviews, code reviews, and documentation Future Scope This role is expected to grow into direct people leadership over time. As the platform matures and the engineering team expands, the Architect will take on formal responsibility for leading a small team of engineers—owning hiring input, technical development, and delivery oversight. Candidates should be comfortable with that trajectory and motivated by the opportunity to build and shape a team from an early stage. Travel Expectations Ability to travel as needed up to 4 times per year. Required Qualifications 8–12+ years in data engineering, data architecture, or platform roles with significant hands‑on delivery Expert SQL and strong Python (or Scala/Java); deep production engineering habits Hands‑on Snowflake expertise including advanced data modeling, pipeline design, performance tuning, and operating at scale in production Proven experience designing cloud data architectures on AWS, Azure, or GCP—including storage, compute, orchestration, and networking considerations Hands‑on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) and retrieval patterns (semantic retrieval, hybrid search, re‑ranking) Experience with dbtor comparable semantic layer tooling in a production environment Demonstrated ability to lead cross‑functional technical initiatives and drive alignment across teams Strong written and verbal communication skills—able to present architecture decisions to both technical and non‑technical audiences Preferred Qualifications Experience supporting LLM applications (RAG, agent tool interfaces, evaluation/observability) Knowledge of knowledge graphs, semantic modeling, or metrics layers at scale Experience in regulated environments and mature data governance programs Familiarity with Iceberg, Delta Lake, or other open table formats in a lakehouse context Prior experience in a formal or informal technical lead or staff engineer capacity Example Success Measures Measurable improvement in AI outcomes: higher retrieval precision/recall, better citation coverage, fewer "missing context" failures Reduced latency/cost per retrieval and improved platform reliability (SLO attainment, lower MTTR) Broad adoption of semantic definitions, context contracts, and platform standards across teams Architecture decisions are well‑documented, defensible, and enable downstream engineers to deliver faster Platform design earns trust from Security, Compliance, and business stakeholders Behavioral Attributes Business‑curious and domain‑eager: Proactively learns healthcare processes, terminology, and KPIs — can speak credibly with SMEs and business leaders, not just translate requirements but help shape the right questions and success measures Stakeholder‑first collaborator: Builds strong relationships with stakeholders, SMEs, and consultants; clarifies goals, constraints, and trade‑offs early; communicates progress and risks clearly; sets realistic expectations around timelines, scope, and quality Consultative problem‑solver: Approaches requests with a "diagnose before prescribe" mindset — asks smart questions, proposes options, and guides teams toward durable solutions rather than one‑off fixes Influence without authority: Leads through expertise and trust — drives alignment, facilitates decisions, and unblocks teams across functions without relying on positional authority High ownership and follow‑through: Treats reliability, documentation, and operational readiness as part of the work; finishes what they start; holds a high bar for production quality Clear communicator for mixed audiences: Can go deep with engineers and explain concepts plainly to non‑technical partners; writes crisp architecture docs, designs, and runbooks Pragmatic builder mindset: Biases toward shipping value in iterations, validating with users, and improving based on feedback — balancing innovation with maintainability and risk Comfortable with ambiguity: Thrives in early‑stage or evolving spaces, adapts quickly, and turns unclear goals into actionable architectural plans Integrity and stewardship: Handles sensitive data responsibly, advocates for secure‑by‑design patterns, and enables the business to move fast without cutting corners on governance Position Level Manager Country United States of America Salary & Compensation The estimated base salary for this job is $140,000 - $190,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $237,500 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. Benefits Huron offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well‑being by providing free annual health screenings and coaching, bank at work, and on‑site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements. EEO Statement Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug‑free workplace. #J-18808-Ljbffr