Anaplan

Security Engineer

• Own end-to-end program management for compliance initiatives across commercial and federal contracts, from planning through execution and audit readiness.
• Lead FedRAMP authorization and continuous monitoring efforts (Moderate/High baselines), coordinating with 3PAOs, agency sponsors, and internal engineering/security teams through the full ATO lifecycle.
• Partner with Legal, Security, IT, and Business Development to interpret federal compliance requirements (FedRAMP, CMMC, NIST 800-171/800-53) and translate them into program plans.
• Lead international and commercial certification programs including ISO 27001, ISO 27701, SOC 2 Type I/II, HITRUST CSF, and other regional market-access certifications (e.g., TISAX, ENS, Cyber Essentials), tailoring approach to each market's requirements.
• Develop and maintain program roadmaps, schedules, and program risk registers; proactively identify and mitigate project risks and schedule slippage across concurrent certification tracks.
• Serve as the primary point of coordination for internal and external audits, assessments, and certifications, ensuring evidence collection, stakeholder readiness, and timely remediation of findings (POA&Ms, corrective action plans).
• Support the establishment and refinement of governance processes, policies, and standard operating procedures to support sustainable, scalable compliance across federal, commercial, and international lines of business.
• Build and manage relationships with external auditors, 3PAOs, certification bodies, regulators, and government program offices as needed.
• Track and report program status, risks, and KPIs to executive leadership and agency stakeholders.
• Manage a portfolio of compliance-related projects simultaneously, balancing competing priorities and deadlines across multiple certification frameworks and stakeholder groups.
• Stay current on evolving federal and commercial regulations, FedRAMP program updates, and international regulatory/certification standards, assessing impact on ongoing programs.

Senior Security Program Manager, Commercial & Federal Compliance

Data Engineer

• Lead the data architecture, design, and deployment of scalable, high-throughput Big Data systems into production environments.
• Architect, deploy, and manage the foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases.
• Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks.
• Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed file systems, and real-time streaming architectures.
• Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch and streaming patterns seamlessly.
• Optimize and scale large distributed queries and data transformations to ensure high performance and low latency for end users.
• Implement data quality frameworks to measure and ensure data integrity, reliability, and governance across all data assets.
• Collaborate with analytics, product, and platform teams to build data models that capture the semantics of customer metrics, hierarchies, and relationships.
• Stay current with the modern data stack and big data landscape, evaluating new tools, distributed computing frameworks, and database technologies for potential adoption.

Senior Data Engineer – AI

Data Scientist

• Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges.
• Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks.
• Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks.
• Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
• Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.

Principal AI Data Scientist

• Build transformative AI capabilities from the ground up, including model integration and prompt engineering.
• Contribute to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems.
• Build real-time, user-facing AI features that directly shape business planning and decision-making.
• Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments.
• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
• Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation.
• Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines.
• Help design the knowledge graph that captures the semantics of customer models, metrics, hierarchies, and relationships.
• Build the data plane for evaluation and continuous improvement, working with cutting-edge conversational and agentic AI technologies.
• Engineer the feature and context pipelines that feed forecasting and anomaly-detection models at customer scale, balancing batch and streaming patterns.
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics.

AI Engineer

• Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems into production environments.
• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
• Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation.
• Build cutting-edge conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language.
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics.
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations.
• Optimize model inference pipelines for performance, cost, and scalability in production environments.
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior.
• Participate in code reviews, lead technical design discussions, and mentor junior and mid-level engineers.

Anaplan

Senior Security Program Manager, Commercial & Federal Compliance

Senior Data Engineer – AI

Principal AI Data Scientist

Senior Data Engineer – AI

Senior AI Engineer

Principal Data Scientist – AI