Associate Director

Job description

We are looking for an AI Architect to lead the design and evolution of AI-driven solutions within our Master Data Management (MDM) and Data Governance practice. This role sits at the intersection of data architecture and applied AI designing intelligent accelerators (matching, stewardship automation, DCR resolution, data quality agents) that augment platforms like Reltio, Informatica IDMC, and Veeva Network, while also playing a key role in pre-sales and solution architecture for client pursuits. Key Responsibilities **AI Solution Architecture** - Architect AI/ML and agentic solutions for core MDM and data governance use cases: match merge, survivorship, DCR automation, anomaly detection, data quality scoring, and stewardship workflows - Design and own the technical architecture for AI accelerators (e.g., Smart DCR Agents, Potential Match Resolution Agents, Agentic HCP/HCO Mastering engines), ensuring scalability, explainability, and platform-agnostic integration - Evaluate and select appropriate AI/ML techniques (LLMs, classical ML, rules + ML hybrid models) based on use case, data volume, and latency requirements - Define reference architectures integrating AI layers with MDM platforms (Reltio, Informatica IDMC, Veeva Network) and governance/catalog tools (Collibra, Atlan, Alation) **Optimization Continuous Improvement** - Drive performance tuning, accuracy benchmarking, and continuous optimization of existing AI accelerators and agents - Establish feedback loops (human-in-the-loop stewardship, model retraining cadences) to improve match precision and reduce false positives/negatives over time - Monitor and report on AI accelerator ROI metrics (cycle time reduction, automation rate, data quality lift) to clients and internal leadership - Identify opportunities to modernize legacy rule-based MDM/DG processes with AI-native alternatives **Pre-Sales Client Engagement** - Lead AI/technical solutioning for RFP/RFI responses, including architecture diagrams, effort estimation, and differentiation narrative - Partner with CoE and sales leadership to build and refine GTM assets (battlecards, demo environments, POV decks) for AI-powered MDM and governance offerings - Present AI architecture and accelerator capabilities directly to client technical and business stakeholders, including live demos and technical deep-dives - Support discovery workshops to assess client data maturity and identify high-value AI use cases within MDM/DG scope **Delivery Cross-Functional Leadership** - Provide architectural oversight during implementation, ensuring delivery teams correctly integrate AI components with MDM/DG platforms - Collaborate with data engineering, MDM, and governance teams to ensure AI solutions align with data governance policies, security, and compliance requirements - Mentor data scientists, engineers, and consultants on AI architecture best practices within the CoE - Maintain reusable architecture patterns, technical documentation, and accelerator roadmaps for the CoE Required Qualifications - 8+ years of experience in AI/ML architecture, data architecture, or related technical consulting roles - Demonstrated experience designing and deploying AI/ML or agentic solutions in production environments - Strong working knowledge of MDM concepts (match/merge, survivorship, golden records) and data governance principles (stewardship, DCR workflows, policy management) - Hands-on experience with at least one MDM platform (Reltio, Informatica IDMC, Veeva Network) and one governance/catalog tool (Collibra, Atlan, Alation) - Proficiency in ML/LLM frameworks and cloud AI services (e.g., Python, Databricks, Snowflake, Azure/AWS AI services, LLM APIs) - Experience contributing to RFP/RFI responses and client-facing technical presentations - Strong communication skills with the ability to translate complex AI architecture into business value for non-technical stakeholders Preferred Qualifications - Experience in life sciences/pharma data environments (HCP/HCO mastering, commercial data ecosystems) - Prior experience building agentic AI systems or AI copilots for enterprise data workflows - Familiarity with prompt engineering, RAG architectures, and agent orchestration frameworks - Relevant certifications in cloud AI/ML platforms or enterprise architecture