Global Operations Strategy Consultant jobs at Dell in India

Senior Consultant, Product Management (AI/Agentic)

Join our Product Management team to shape the next generation of AI + Digital transformation and enabling Service Modernization 2.0 as a Product Management Senior Consultant iWith clear visibility into how Digital Products contribute to broader modernization goals. You’ll define strategy, lead delivery, and ensure safe, measurable outcomes across the product lifecycle.

As a Senior Consultant, you will identify high-impact AI opportunities, design the North Star experience, and deliver products that align with business goals. You’ll partner with Engineering, Design, and Operations to build integrated roadmaps and execute responsibly.

Key responsibilities

• Define strategy and roadmap for agentic AI capabilities tied to clear outcomes.
• Design and validate the North Star experience through prototypes and testing.
• Ensure responsible product delivery with governance guardrails and strong observability.
• Quantify impact and own product metrics (adoption, NPS, cost savings) against OKRs.
• Collaborate cross-functionally to manage dependencies and drive execution in Agile frameworks.

• 15-18 years in product management or related roles, including 3+ years in AI/ML-powered products.
• Proven ability to define long-term vision, write PRDs/user stories, and lead end-to-end delivery.
• Strong technical acumen: architecture, data, model integration, evaluation, and safety.
• Analytical mindset with experience in product analytics and experimentation.
• Executive-level communication and stakeholder management.

Preferred

• Bachelor’s degree or equivalent experience.
• Familiarity with cloud, edge, compute, storage, networking, and security domains.

You will:

• Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
• Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
• Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
• Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
• Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.

Essential Requirements

• Strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
• Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
• Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
• Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
• Excellent communication and presentation skills; ability to document and explain complex solutions clearly.

Desirable Requirements

• Experience with Agile development methodology (e.g., Scrum)
• Experience - 12 to 15 yrs

You will:

• Drive innovation and strategic prioritization by identifying differentiated security features through market and competitive analysis, aligning initiatives with business goals, and championing capabilities that advance our data protection offerings.
• Lead cross-functional product execution by partnering with engineering, sales, channel partners, and customers to define security requirements and deliver impactful, customer-centric solutions.
• Leverage deep technical acumen to engage in architectural and functional design discussions, evaluate trade-offs, challenge assumptions, and assess security risks associated with key decisions.
• Act as the Data Protection Security subject matter expert, supporting field teams and customers with clear guidance, documentation, and advocacy around product capabilities, strengths, and limitations.
• Coordinate urgent security incident responses with urgency and precision by collaborating with Engineering, Legal, Support, Communications, and incident response teams to ensure effective resolution of high-impact vulnerabilities.

Essential Requirements

• 5+ years of Product Management experience, or equivalent experience in engineering, support, or technical sales within the enterprise data protection and/or security domain.
• End-to-end technical expertise in security and data protection, including encryption (in-flight and at-rest, key management), identity and access management (LDAP/AD, SSO, SAML, OIDC, OAuth 2.0, MFA, RBAC/ABAC), PKI, CA certificates; and security best practices for OS, containerized, and cloud environments (Linux, Kubernetes, AWS, Azure, etc.).
• Proven ability to create and maintain a prioritized product roadmap, communicate it effectively to stakeholders, and adapt based on market feedback and business needs.Expertise in evaluating and prioritizing competing product opportunities and features using established frameworks, with strong decision-making skills that balance business value, technical feasibility, and resource constraints.
• Strong analytical and communication skills, with the ability to translate customer needs, product usage data, and market trends into actionable insights, while aligning cross-functional teams and building productive stakeholder relationships.

Desirable Requirements

• Familiarity with modern security ecosystems (SIEM, SOAR, XDR, MDR), third-party security integrations, and regulatory frameworks (CRA, DORA, NIS2, SOC 2, APL, FIPS). Understanding of the impact of AI on security and data workflows, including anomaly detection, predictive threat intelligence, and AI/ML platform integration.
• Experience with go-to-market strategy execution including product positioning, pricing, messaging, launch planning, and sales enablement; proven bias for action and ownership mentality in driving cross-functional initiatives and product success.

2026 Human Resources Intern

As a Human Resources Intern, you will be exposed to work assiginment between bothand. You will participate to assist in event planning and execution for campus recruitment campaigns, including online/offline events, livestreams, and job fairs. You will also perform tasks of varying complexity, requiring judgement with limited direct supervision.

You will:

• Coordinate with universities and student organizations to promote employer branding.
• Enhance candidate experience through the porcess of scheduling interviews, screening resumes, and managing communications.
• Support event logistics, promotion, and post-event reporting.
• Work on overflow tasks from various groups within the company
• Participate in special projects as needed

Essential Requirements

• Currently pursuing a degree in Business, Human Resources, Marketing, Communications, or a related field.
• Strong communication, coordination, and multitasking skills.
• Detail-oriented with a proactive and collaborative mindset.

Desirable Requirements

• Familiarity with LinkedIn and digital tools is a plus.
• Familiarity with Tech industry and AI trends is a plus.

You will:

• Design, implement, and manage robust MLOps pipelines for deploying, monitoring, and maintaining machine learning models in production environments.
• Collaborate with cross-functional teams, including data scientists, software engineers, and DevOps, to ensure seamless integration of ML models into existing systems and processes.
• Continuously improve the CI/CD processes to automate model training, evaluation, and deployment.
• Implement and maintain monitoring solutions to track model performance, data quality, and system reliability.
• Troubleshoot and resolve issues related to machine learning infrastructure and pipelines.
• Keep abreast of the latest trends and best practices in MLOps and contribute to the evolution of our ML deployment strategies.

Essential Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degrees are a plus. Written and spoken English.
• Strong experience in MLOps or a related field.
• Proficiency in deploying and managing machine learning models using tools like Kubernetes, Docker, and orchestration platforms (e.g., Kubernetes, Apache Airflow).
• Strong programming skills in languages like Python, and experience with version control systems (e.g., Git).
• Solid understanding of containerization, virtualization, and infrastructure as code (IaC) principles. Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)

Desirable Requirements

• Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data processing libraries (e.g., pandas, NumPy). Knowledge of security best practices in ML deployments.
• Previous experience with CI/CD pipelines and automated testing for ML models. Familiarity with ML model deployment orchestration platforms like MLflow or Kubeflow.

08 September 2025

You will enter into a 13-week Dell Technologies Sales Academy that is anonsitesales training program, where you will receive an in-depth training on our products, the Dell sales model and our internal tools. During training you will gain hands on experience with the help of your assigned peer mentor, and by live coaching in the training queue. Dell Technologies Sales Academy is dedicated to education candidates about our company, our culture, and our values. The experience will provide you the knowledge of our solutions and product portfolio while teaching you the essential skills to becoming a great salesperson.We also offerongoing recursive training throughout the year that will systematically increase your technical and sales skills.

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As an Inside Sales Representative with our Small Business team, you will be responsible for building business with existing customers, you will also develop relationships with new clients.
You will:

• Engage Small Business Accounts to grow new buyers and retain and grow existing buyers
• Be responsible for driving 30+ outbound calls /3hr+ Talk Time per day, as well as manage opportunities and emails with the goal of selling to new prospects and/or upgrading existing customers' products and services
• Provide an exceptional experience to Small Business customers advising them on the best technology to make their business successful
• Sell Dell’s full Client portfolio; Including desktops, laptops, services and accessories
• Qualify and identify projects including Enterprise categories like Server, Networking, Storage, Data Protection and Cloud
• Continue to learn and develop technical sales acumen to enable career growth opportunities

Essential Requirements

• Bachelor’s degree, preferred
• 1-3 years of general sales or customer-facing professional experience
• Effectively use software packages such as Microsoft Word, Excel, and PowerPoint
• Results-oriented team player with strong communication, presentation, and problem-solving skills

Desirable Requirements

• Self-motivated with a high attention to detail and ability to multitask. Positive attitude, strong drive for results, and the ability to excel in an ambiguous environment.
• Motivated to exceed goals and develop a professional skill set while advancing your career. Be open to receiving feedback and applying and integrating the feedback to improve results