Associate Director

You will be the senior analytics and AI leader for a set of Technology and Media & Communications clients - the person who owns the client relationship, shapes the analytics and AI roadmap, and makes sure it ships into production and moves a business metric.

Clients in these groups are digital-native and run product telemetry, clickstream, ad-impression and subscriber data at billions of rows, and they buy outcomes (net revenue retention, ARPU, ad yield, cost to serve), not dashboards. The role therefore blends three things: a consulting partner who can hold a VP-level conversation, a data science leader who can review a causal model or an LLM evaluation plan, and a P&L owner who grows the account.

You will also build the practice: reusable accelerators, GenAI and agentic solutions for these industries, and lead and groom reporting members to run accounts independently.

Responsibilities:

• Own multiple strategic accounts end to end: relationship, delivery, margin and growth, with Director/VP/CXO stakeholders in product, growth, marketing, revenue operations, finance and similar functions.
• Work with the client and internal teams to build analytics and AI roadmap per account, prioritizing use cases by value, feasibility and data readiness.
• Grow accounts by identifying new problem spaces, writing proposals and SOWs, and converting pilots into multi-year programs.
• Run quarterly business reviews that tie delivered work to client KPIs and documented value.
• Translate ambiguous business problems into analytical framings, solution architectures and delivery plans across analytics, data science, ML engineering and data engineering.
• Collaborate with AI CoE and act as technical co-reviewer on model design, experimentation, causal inference, forecasting and GenAI/LLM solutions; challenge assumptions and validate business logic.
• Ensure models reach production with MLOps discipline: versioning, monitoring, drift detection, retraining and documentation.
• Govern delivery health across onsite-offshore teams: scope, estimates, risk, quality gates, utilisation and gross margin.
• Support teams in design of GenAI use cases such as conversational analytics, sales and support copilots, content tagging and summarisation, and agentic workflows for marketing and customer operations.
• Set standards for LLM evaluation, guardrails, cost-per-query and responsible AI (privacy, bias, IP and content-rights constraints common in media).
• Partner with hyperscaler and platform alliances (AWS, Azure, GCP, Databricks, Snowflake) on joint solutions and go-to-market as needed.
• Build reusable accelerators and IP for the industry groups (for example, SaaS churn-and-expansion kit, Media Mix tool kit).
• Support sales for new logos: discovery workshops, solution demos and orals.
• Publish points of view, speak at industry forums and contribute to analyst briefings.
• Lead 25-60 people through Managers and Senior Managers; own hiring, staffing, performance calibration and promotions for the portfolio.
• Develop successors who can independently run an account.
• Build a culture of rigour, client focus and continuous learning, including GenAI upskilling.

Required skills:

• 10+ years in analytics, data science or AI consulting or a captive analytics/CoE, preferably focused on Tech B2B SaaS or Media & Ent.
• Familiarity with at least one cloud (AWS, Azure or GCP) and modern data platforms (Snowflake, Databricks, BigQuery); understanding of MLOps (MLflow, Airflow, CI/CD).
• Delivered at least one GenAI/LLM solution beyond proof of concept, including evaluation and guardrails.

Skills

AI, Airflow, Analytics, Data Science, Gen AI, LLM, MLOps, MLflow