Asset & Wealth Management Operations - WM Ops Transformation - Vice President - Bengaluru

Goldman Sachs

Data Science Analytics & Machine Learning

149+ Applicants

Posted: 1 week ago

7-9 years

Bengaluru / Bangalore, Karnataka

work from office

Posted: 1 week ago

Applicants: 149+

Job Description

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Job Description

WEALTH MANAGEMENT
The Wealth Management Operations Division is seeking an experienced Vice President to lead the Applied AI Program and low code initiatives, driving the strategic convergence of advanced AI capabilities and cross-functional analytics to deliver measurable operational, risk, and experience improvements across the division.
OPERATIONS
Operations is a dynamic, multi-faceted function that partners with all parts of the firm to provide banking, securities, and asset management services to clients around the world. In addition, Operations provides essential risk management and controls to preserve and enhance the firms assets and its reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow.
YOUR IMPACT
You will be responsible for enhancing operational performance through the widespread use of advanced engineered prompts within the firms out-of-the-box AI solutions, while simultaneously leading and evolving the divisions business intelligence function — encompassing data lifecycle management, analytics strategy, and the exploitation of low-code tools to create business value.
You will design, develop, and deploy sophisticated human-in-the-loop AI Assistants through a controlled, risk-averse lifecycle — from ideation and prompt engineering through piloting, governance review, and scaled production rollout. In parallel, you will enhance and establish cross-functional analytics initiatives, address developments in key strategic data architecture, and ensure BI capabilities are tightly aligned with the Wealth Management Divisions target operating model.
You will collaborate with business stakeholders, Operations core BI teams, Technology, Risk & Compliance, and senior leadership to define unified roadmaps, prioritize initiatives, and implement scalable AI and BI solutions aligned with organizational goals.
OUR IMPACT
We are looking for a seasoned professional with a minimum of 7 years of progressive experience in a fast-paced, complex environment, evidenced by a proven track record spanning applied AI solution design, prompt engineering strategy, responsible AI deployment, and business intelligence program leadership.
How You Will Filfill Your Potential

Define and lead the Applied AI Program vision and strategic roadmap, aligning AI Assistant development priorities with division-wide operational, risk, and experience objectives.
Drive widespread adoption of advanced engineered prompts within the firms approved AI platforms (e.g., enterprise copilots, LLM-based tools), establishing best practices, prompt libraries, and reusable templates that maximize out-of-the-box solution value.

Design and deliver sophisticated human-in-the-loop AI Assistants that augment employee and client-facing workflows, ensuring appropriate human oversight, escalation paths, and feedback loops are embedded by design.
Establish and enforce a controlled, risk-averse AI solution lifecycle, encompassing use case intake, feasibility assessment, prompt engineering, testing & validation, risk review, pilot deployment, performance monitoring, and production scaling.
Continuously modernize the divisions applied AI approach by monitoring emerging AI patterns (e.g., agentic workflows, retrieval-augmented generation, multi-modal prompting), assessing fit-for-purpose use cases, and driving implementation playbooks from pilot to production.
Lead and evolve the Wealth Management Divisions Business Intelligence function, enhancing and establishing cross-functional analytics initiatives that deliver actionable insights to business stakeholders.
Own the data lifecycle management strategy, ensuring data quality, lineage, governance, and accessibility standards are maintained across all BI assets and reporting platforms.
Exploit low-code and self-service analytics tools to democratize data access, accelerate report development, and empower business users to derive value independently.
Address developments in key strategic data architecture, partnering with Technology to ensure the divisions data infrastructure supports current and future analytical and AI workloads.
Align Operations BI strategy with the Wealth Management Division target operating model, working in close partnership with Operations core BI teams and Technology to harmonize priorities, tools, and methodologies.
Work closely with business representatives to ensure key decisions and progress are made in line with divisional strategic objectives and operating model requirements.

Cross-Cutting Responsibilities

Develop robust business cases for new AI Assistants, BI enhancements, and analytics products, including financial justification (ROI), efficiency gains, risk reduction metrics, and experience improvement KPIs.
Lead and empower cross-functional teams — including business analysts, data engineers, prompt engineers, BI developers, UX designers, and subject matter experts — to deliver complex solutions ensuring strategic alignment and successful outcomes.
Foster strong partnerships with Data & Analytics, Engineering, Risk & Compliance, Information Security, PMO, HRIS, and business line leaders to ensure seamless execution and integration across both the AI and BI portfolios.
Uphold and ensure adherence to governance, data privacy, and regulatory compliance standards across all AI and BI products and initiatives.
Strategically manage vendor relationships, encompassing platform evaluation, selection, contract negotiation, and ongoing performance oversight for both AI and BI tooling.
Identify and drive synergies between the Applied AI and BI programs, leveraging BI data assets and analytics capabilities to inform AI Assistant design, and using AI to enhance BI workflows (e.g., natural language querying, automated insight generation, anomaly detection).

Basic Qualifications

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SKILLS & EXPERIENCE WERE LOOKING FOR

Minimum 7 years of progressive experience in applied AI, business intelligence, data analytics, or a related discipline within a fast-paced, complex environment (financial services or wealth management preferred).
Proven track record in AI solution design and deployment, including prompt engineering, human-in-the-loop system design, and responsible AI practices.
Demonstrated experience leading BI teams and analytics programs, including data lifecycle management, reporting platform strategy, and self-service/low-code tool adoption.
Strong understanding of data architecture, data governance, and data quality frameworks.
Experience building and presenting business cases with ROI analysis and KPI frameworks to senior leadership.
Exceptional ability to collaborate across business, technology, risk, and operations teams in a matrixed organization.
Familiarity with enterprise AI platforms (e.g., Microsoft Copilot, OpenAI enterprise solutions) and BI platforms (e.g., Tableau, Power BI, Alteryx, or similar).
Strong knowledge of governance, data privacy, and regulatory compliance requirements relevant to financial services.

Preferred Qualifications

Experience in Wealth Management or Financial Services operations and technology.
Hands-on experience with LLM-based applications, retrieval-augmented generation (RAG), and agentic AI frameworks.
Familiarity with low-code/no-code development platforms and their application in analytics and workflow automation.

About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
Were committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
copyright The Goldman Sachs Group, Inc., 2026. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer

Skills

Data AnalyticsData ArchitectureData GovernanceData PrivacyImplementationPrompt EngineeringAnalyticsAi

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About Company

Goldman Sachs India Careers 2025

Goldman Sachs is a leading global investment banking, securities, and investment management firm, renowned for advising corporations, governments, and institutions on strategic transactions, capital raising, and risk management. Founded in 1869 and headquartered in New York, Goldman Sachs established its India presence in 2004 with offices in Bengaluru, Hyderabad, and Mumbai. The India operations serve as both a front‑office hub for client coverage and a global capability center for engineering, risk, and operations.

Business Model – Goldman Sachs operates across four primary segments: Investment Banking, Global Markets, Asset & Wealth Management, and Platform Solutions. Its B2B revenue model is driven by advisory fees, trading revenues, asset management fees, and lending income. In India, the firm combines client‑facing deal teams with global service delivery, leveraging deep domain expertise in M&A, capital markets, quantitative research, and technology engineering to support global mandates.

Recent Wins & Recognition –

In 2024, Goldman Sachs was awarded Platinum‑level Champion in WEConnect International’s Top Global Champions for Supplier Diversity & Inclusion, recognising its leadership in inclusive procurement. (https://www.goldmansachs.com/our-firm/sustainable-finance/our-operational-impact/historical-milestones-awards-and-recognitions)
The firm opened its new LEED Platinum and WELL Platinum certified Hyderabad campus, reinforcing its commitment to sustainable operations and employee well‑being. (https://www.goldmansachs.com/our-firm/sustainable-finance/our-operational-impact/historical-milestones-awards-and-recognitions)
Goldman Sachs accelerated its generative AI initiatives, developing over a dozen projects including natural‑language code generation and automated documentation tools. (https://economictimes.indiatimes.com/topic/goldman-sachs-generative-ai-projects/news)
FY‑2024 results saw net income jump +67.6% and a 33% dividend increase, alongside a rebound in M&A advisory activity in 2025. (https://www.monexa.ai/blog/goldman-sachs-ai-strategy-m-a-challenges-and-divid-GS-2025-03-24)

Culture & Values – Goldman Sachs is anchored by its Business Principles, which emphasise client service, excellence, integrity, and teamwork. The firm fosters a high‑performance culture with a strong focus on meritocracy, continuous learning, and diversity & inclusion. In India, employees benefit from global mobility programs, mentorship networks, and community engagement initiatives such as 10,000 Women and 10,000 Small Businesses.

Client‑Facing & Internal Domains – Goldman Sachs India

Investment Banking

What it is – Advisory on mergers, acquisitions, restructurings, and capital raising. India‑based roles include:

M&A Advisory – Deal structuring, valuation, and negotiation support.
Equity & Debt Capital Markets – IPOs, bond issuances, and syndications.
Strategic Advisory – Cross‑border transactions and shareholder activism defense.

Global Markets

What it is – Sales, trading, and market‑making in equities, fixed income, currencies, and commodities. India‑based roles include:

Trading & Structuring – Derivatives, structured products, and hedging solutions.
Sales & Client Coverage – Institutional client relationship management.
Quantitative Research – Pricing models, risk analytics, and algorithmic strategies.