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Associate Director, AI & Applied Solutions

SSA & Company · United States · 1 wk ago
RemoteRemoteInformation Technology$140k–$190k/yrFull-time

About the role

At SSA & Company, our values, relationships, and people drive everything we do. We work in a flat structure that values every individual’s input, and deploy agile, light-footprint teams of typically 3–5 consultants.

Responsibilities

  • Partner with engagement leaders to design and deliver advanced quantitative and qualitative analyses across operational, strategic, and economic dimensions—now augmented by AI and data science.

  • Serve as the day-to-day face of the firm and primary point of contact, leading teams and building deep relationships with clients across industries.

  • Apply SSA’s hypothesis-driven problem solving and structured disaggregation to solve complex client challenges.

  • Build working prototypes for clients—apps, agents, copilots, RAG systems, and analytical tools—using modern (Gen)AI dev tools (e.g., Claude Code, Cursor, LangChain/LangGraph, vector stores, agent frameworks).

  • Execute applied data science: hypothesis generation, model selection, evaluation, and deployment of ML/LLM-based solutions tied to clear business outcomes.

  • Synthesize analysis and AI outputs into high-value insights, actionable recommendations, and financial impact projections (hard and soft benefits).

  • Shape SSA’s tech stack across the AI delivery lifecycle—models, frameworks, data platforms, orchestration, and DevOps/MLOps tooling—with opinionated, evidence-backed recommendations.

  • Pioneer new techniques in AI/LLMs: agentic systems, multi-agent orchestration, RAG, fine-tuning, and evaluation frameworks.

  • Build internal IP—accelerators, reference architectures, prompt libraries, agent templates, and analytical frameworks.

  • Establish KPIs to track AI-enabled transformation and translate technical concepts into compelling narratives for executive and board-level audiences.

  • Mentor colleagues firmwide on using AI tools—coding assistants, agents, prompt craft—and develop juniors in both technical and consulting craft.

  • Evangelize AI in consulting internally and externally; produce high-quality PowerPoint and live demos for line-manager-to-board audiences.

Requirements

  • 6–10 years of progressive experience; prior consulting (top management consulting), corporate strategy, or investment banking/PE strongly preferred.

  • Demonstrated experience supporting or leading AI, data, and analytics initiatives—ideally including hands-on building of Gen AI applications, agents, or LLM-powered prototypes shipped to real users.

  • Exposure to financial services (P&C, life, banking, wealth) and/or retail, healthcare, or manufacturing is a plus.

  • Hands-on fluency with (Gen)AI dev patterns: LLM APIs, prompt engineering, RAG, agentic frameworks, evaluation, and tool/function calling.

  • Comfort shipping code with AI coding assistants (Claude Code, Cursor, Copilot); able to read, write, and review Python and/or TypeScript.

  • Working knowledge of data engineering (ETL/ELT, data modeling, orchestration with Airflow/dbt/Dagster, streaming/batch, feature/vector stores) and DevOps/MLOps fundamentals (Git, CI/CD, Docker, IaC, monitoring, AI evaluation/observability).

  • Familiarity with cloud data and AI platforms (Snowflake, Databricks, BigQuery, AWS/Azure/GCP AI services) and core ML concepts.

  • Leadership & Communication: superb written and oral communication; able to present to senior executives and credibly demo working software.

  • Resilience, critical thinking, and comfort in ambiguous, fast-paced environments with executive exposure.

Qualifications

  • Bachelor’s degree with excellent academic credentials from a top-tier institution; focus in business, economics, engineering, computer science, data science, or a quantitative discipline preferred.

  • Master’s in Business Administration, Computer Science, Data Science, Statistics/Analytics, Operations, or related field strongly preferred.

  • Comfortable with weekly, multi-day travel, including occasional international projects.

Skills

  • Fluency with (Gen)AI development patterns and tools.

  • Experience with data engineering and DevOps fundamentals.

  • Knowledge of cloud data and AI platforms.

  • Strong leadership and communication skills.

Benefits

SSA & Company provides a competitive salary range for our open requisitions. Actual salary is influenced by a wide array of factors including but not limited to skill set, experience, training, education, and other business and organizational needs. The range of starting annual salary for this role is $140,000 - $190,000. Decisions will be determined on a case-by-case basis.

Pay

Actual salary is influenced by a wide array of factors including but not limited to skill set, experience, training, education, and other business and organizational needs. The range of starting annual salary for this role is $140,000 - $190,000. Decisions will be determined on a case-by-case basis.

Schedule

Actual schedule is influenced by a wide array of factors including but not limited to skill set, experience, training, education, and other business and organizational needs. Decisions will be determined on a case-by-case basis.

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