**Vice President - Analytics Solutions Manager** in Mumbai leads strategic data analytics & AI/ML initiatives. You'll drive operational improvements, analyze complex datasets, define KPIs, and deliver actionable insights using tools like Alteryx, Tableau, and SQL. With 9+ years of capital markets experience and proficiency in data storytelling, you'll prioritize and deliver multiple analytics workstreams, ensuring data quality and monitoring model performance. Strong in agile development and Proficiency in Python is a plus.
Full Job Description
Location: Mumbai, Maharashtra, India
You are a strategic thinker passionate about driving solutions in Data Analytics & AI/ML. You have found the right team.
As a Data Analytics Solutions VP within our Strategic Transformation / Data & Analytics team, you will lead data-driven decision-making at scale and deliver complex analytics and data remediation outcomes across products and business lines.
Job Responsibilities
Lead descriptive, diagnostic, and predictive analytics to drive measurable operational improvements.Analyze complex, multi-source datasets to identify trends, drivers, anomalies, and actionable insights.Define KPIs/OKRs, establish baselines, and quantify benefits and outcomes of initiatives.Deliver executive-ready insights through clear storytelling, dashboards, and visualizations that drive action.Translate business needs into analytical solutions (hypotheses, data requirements, and user stories) in an agile model.Own end-to-end analytics delivery across data mining, scalable datasets, visualization, and applied ML.Ensure data quality through validation, reconciliation, anomaly detection, and ongoing monitoring.Partner with program, product, and technology teams to prioritize use cases, define MVPs, and scale data products.Apply AI/ML to predict outcomes, embed insights into workflows, and monitor model performance over time.Resolve complex technical challenges and unblock delivery to maintain execution momentum.Communicate concise status, risks, and issue updates to stakeholders and senior management to maintain alignment.Required qualifications, capabilities and skills
Bachelors degree with relevant techno-functional experience.Atleast 9+ years of data analytics experience supporting large-scale transformations with measurable business impact.Strong Capital Markets/Investment Banking knowledge with ability to translate problems into KPIs and decision frameworks.Proficiency with analytics/BI tooling (e.g., Alteryx, Oracle/SQL, Tableau, QlikView/Qlik Sense).Ability to build repeatable data pipelines, scalable datasets, dashboards, and insight packs.Strong data storytelling and presentation skills for non-technical stakeholders.Experience monitoring delivery via KPIs, identifying risks via variance/trend analysis, and executing mitigations.Ability to run post-implementation impact reviews and capture lessons learned.Strong prioritization and execution skills across multiple concurrent analytics workstreams.Preferred qualifications, capabilities and skills
Experience working in an Agile development lifecycle.Proficiency in SQL and Python; familiarity with data science and ML tooling.Data Science certification preferred. Lead scalable analytics and data remediation to enable data-driven decisions across capital markets. 
