Director, Sales Analytics

Overview

Hands-on Sales Analytics leader who turns Markets Sales growth opportunities into production analytics and AI/ML capabilities with clear KPI outcomes, strong governance, and senior stakeholder alignment.

What you'll do

• Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Design and build data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations, leveraging machine learning/AI.
• Identify opportunities for operational and process improvements through data-driven analysis.
• Design and create interactive dashboards and visual reports, and automate reporting processes for regular and ad-hoc stakeholder needs.
• Build a prioritised use-case pipeline (targeting, next-best action, coverage effectiveness) and ship to production with KPI definition and tracking.
• Engineer end-to-end solutions, personally coding and prototyping critical components from data prep and features to modelling, productionisation, monitoring, and support.
• Operationalise analytics/ML with trusted data, model governance, and delivery controls (CI/CD, deployment, monitoring) on Databricks/Spark and Snowflake.
• Manage a business function, providing significant input to function-wide strategic initiatives, and contribute to and influence policy and procedures for the function.
• Plan, manage and consult on multiple complex and critical strategic projects, which may be business-wide.
• Manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business.
• Train, guide and coach less experienced specialists.
• Provide expert advice to senior functional management and committees to influence decisions outside own function.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
• Escalate breaches of policies and procedures appropriately; foster and guide compliance and ensure regulations are observed.
• Negotiate with and influence stakeholders at a senior level both internally and externally.
• Act as principal contact point for key clients and counterparts in other functions and business divisions, and as spokesperson for the function and business division.
• Partner with senior stakeholders across Sales, Product, Risk/Compliance, CDO/CTO, SMAD/Quants, and engineering to secure decisions and deliver outcomes.

What you'll need

• Demonstrated ability to deliver analytics and AI/ML end-to-end, writing production-grade code from problem framing through build, deployment, and adoption.
• Demonstrated ability to engineer trusted data and features (quality, lineage, reusable metrics) using Python/SQL on Databricks/Spark and Snowflake.
• Demonstrated ability to apply engineering discipline to analytics/ML (Git, automated testing, code review, and CI/CD) to ship reliable changes.
• Demonstrated ability to prioritise use cases with clear KPIs and run experiments that evidence commercial impact.
• Demonstrated ability to influence senior stakeholders and deliver at scale within governance (model risk, compliance, and controls).

Nice to have

• Markets Sales analytics use cases (targeting, next-best action, coverage effectiveness, pipeline) plus market data and pre/post-trade analytics; Kafka and dbt exposure.
• Hands-on coding in Python, SQL, and PySpark for pipelines and production analytics/ML; Java/C++ or kdb+/q.
• MLOps in a controlled environment: MLflow, registry/versioning, CI/CD (GitLab/Jenkins), drift/performance monitoring, documentation.
• Data governance practices and tooling: data quality checks, lineage/metadata, access controls, and privacy-by-design (e.g., fine-grained controls such as Immuta or equivalent).
• Advanced analytics/AI (incl. GenAI where appropriate) for decision support, recommendations, or productivity.

Details

• Location: Mumbai, Nirlon Knowledge Park (BX), 9th and 11-12 floor.