SENIOR MANAGER, SOLUTION CONSULTING
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Position Summary...
What you'll do...
Location: Bangalore
Help shape the future of Finance at Walmart by applying data science and Generative AI to high-value finance workflows. In this role, you’ll partner across Finance, Engineering, and business teams to design, build, and productionize models (forecasting, anomaly detection, NLP/LLM, optimization) that streamline close, planning, and controllership processes. You will also empower associates to build personal AI agents and guide the model lifecycle—from problem framing and data pipelining to experimentation, evaluation, deployment, and monitoring—advancing Walmart’s broader Generative AI strategy. If you thrive at the intersection of finance, GenAI, and business transformation, this role is for you.
About Finance Technology & Transformation
The Finance team drives efficiency, accuracy, and innovation across Walmart’s financial operations. Our mission is to equip associates with the data, models, and intelligent automation needed to operate effectively and reach the company’s strategic goals. This role is critical to accelerating our Data Science and GenAI adoption—not just piloting technology, but reimagining how finance teams work with trustworthy, scalable AI systems.
What you’ll do
- Identify and frame data science opportunities across close, reporting, planning, controllership, and treasury (e.g., journal entry automation, variance root-cause analysis, forecasting, outlier detection, risk scoring, exception triage).
- Build and productionize models (e.g., time series forecasting, classification, regression, NLP/LLM, clustering, optimization) with strong MLOps discipline: data versioning, CI/CD, model registry, monitoring, drift detection, retraining.
- Develop GenAI solutions for finance knowledge retrieval and decision support: RAG pipelines, vector stores, prompt orchestration, evaluation frameworks, and guardrails for privacy, PII, and compliance.
- Stand up robust data pipelines with Finance and Engineering (batch/stream) that ensure data quality, lineage, and governance; collaborate on feature stores and reusable semantic layers.
- Run structured experimentation (A/B tests, quasi-experiments, backtesting) and partner on measurement frameworks to quantify uplift, precision/recall, cycle-time improvements, and ROI.
- Enable the business: coach analysts and finance partners to build no/low-code copilots, reusable notebooks, and light automations; create reference patterns for repeatable use cases.
- Contribute to the Generative AI strategy for Finance: use-case portfolio, value mapping, roadmap, standards for responsible AI, and integration with enterprise platforms.
- Partner on risk & controls: ensure models meet SOX-relevant controls, explainability thresholds, and documentation standards; collaborate with Legal, Privacy, and InfoSec.
- Be a mentor to the team members and develop an atmosphere of trust and openness
- Manage a team of data scientists and solution consultants
What you’ll bring
- Finance fluency: hands-on understanding of FP&A, controllership, and accounting workflows; ability to translate finance pain points into well-scoped ML problems.
- Data science depth: strong skills in Python and SQL; experience with pandas/Polars, scikit-learn, PyTorch or TensorFlow; methods including time series, causal/experiment design, classification/regression, anomaly detection, clustering, optimization, and NLP/LLMs.
- GenAI & LLM ops: experience with prompt engineering, evaluation, RAG architectures, embeddings/vector DBs, and running LLM apps with guardrails and observability.
- MLOps & data engineering: familiarity with Databricks/Snowflake/Spark, MLflow/model registry, Feature Store, GitHub Actions/CI-CD, containerization, and production monitoring.
- Data governance & controls: understanding of data lineage, metadata management, privacy/PII, access controls, and model governance (documentation, approvals, and quality gates).
- Product mindset: ability to frame business value, prioritize a portfolio, tell the story with metrics, and drive adoption with cross-functional teams.
- Collaboration: proven track record working with Finance, Engineering, and Product to deliver production systems—not just POCs.
Nice to have (preferred)
- Experience with financial systems (e.g., SAP/S4, Anaplan, consolidation/reporting tools) and common finance data models.
- Familiarity with GenAI platforms (e.g., Microsoft Copilot/LLM Studio, Azure OpenAI, Vertex AI, Bedrock).
- Knowledge of vector databases (FAISS, Milvus, pgvector) and observability tools (Arize, Fiddler, Evidently).
- Experience implementing model explainability (SHAP, feature importance) and policy guardrails for regulated workflows.
- Background in optimization (LP/MIP) for allocation/scheduling/cash optimization.
Position Requirements:
Minimum qualifications:
- Overall 12–15+ years of experience in AI/ML, analytics, software engineering, or related technical fields
- Strong understanding of contemporary AI/LLM systems:
- Prompting techniques and optimization strategies
- Grounding strategies for factual accuracy
- Enterprise AI solution design patterns
- Experience working with large datasets and data informed systems
- Strong SQL skills for validation, analysis, and optimization
- Exposure to Business Intelligence (BI) and analytical ecosystems
- Excellent communication skills for diverse audiences
- Strong stakeholder partnership and cross functional collaboration skills
- Self starter mindset with curiosity, adaptability, and comfort navigating ambiguity
- Experience of managing a high powered team
Additional Qualifications:
- Experience applying AI solutions in Finance or large enterprise environments
- Familiarity with enterprise AI governance and responsible AI practices
- Ability to evaluate and improve end to end quality of AI solutions
- Experience debugging or enhancing AI generated or rapidly prototyped applications (including “vibe coded” solutions)
- Knowledge of Finance workflows, analytics, and reporting requirements
- Experience with conversational AI, chatbots, or natural language interfaces
- Contributions to open source AI projects or broader technical communities
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate on a scale, impact millions and reimagine the future of retail.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor’s degree in computer science, management, information systems, mathematics, business, or related area and 5 years’ experience in software engineering, consulting, DevOps, or related area.Option 2: 7 years' experience in software engineering, consulting, DevOps, or related area.
2 years’ supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master's degree in Computer Science, Management, Information Systems, Mathematics, Business, or related area and 3 years' experience in enterprise design, implementation, or consulting., Prior work experience in the technical integrations between SAP, Workday, etc. and third-party applications., Prior work experience using technology packages such as SAP, Workday, Infor, and Coupa based on business requirements., Prior work experience writing functional specifications and test scripts.