Customer Strategy & Design | HCA
Consultant, Strategy, Growth, and Transformation
Position Summary
Join Deloitte’s Customer Strategy & Design (CS&D) team to help clients grow through data-driven insights, human-centered analytics (HCA), and responsible AI. As an HCA Consultant, you will translate complex data into clear recommendations, shape AI-enabled products and decisions, and partner with global teams to deliver measurable business outcomes across industries. You’ll work at the intersection of strategy, analytics, and technology to drive customer engagement, product performance, and commercial transformation.
Work you’ll do
As a HCA Consultant on the Customer Strategy & Design team, you will be responsible for:
Shape the future of intelligent products by embedding AI strategy, machine learning capabilities, and data-driven decision-making across the end-to-end product lifecycle, driving measurable impact on revenue and customer outcomes.
Develop analytics-driven strategies across product design, customer segmentation, marketing effectiveness, and growth, leveraging experimentation frameworks and product intelligence systems to create sustained competitive advantage.
Design, build, and scale predictive models, decision intelligence solutions, and data pipelines using Python or R, SQL, and modern cloud platforms, enabling production-ready AI systems at scale.
Architect and operationalize AI- and LLM-enabled solutions, including conversational intelligence, retrieval-augmented generation, and responsible AI frameworks with governance, explainability, and risk controls.
Translate product and customer data into actionable insights through advanced analytics, behavioral modeling, and consumer intelligence, informing sharper product and growth strategies.
Create executive-ready storytelling through dashboards and presentations, converting complex analyses into clear, actionable recommendations for senior stakeholders.
Lead workstreams by managing workplans, coordinating with cross-functional and global teams, and contributing to business development, knowledge sharing, and high-quality delivery across engagements.
The Team
The Customer portfolio integrates our globally recognized customer businesses to drive growth strategy, enhanced user experiences, and engagement across the customer lifecycle. Customer Strategy & Design helps clients pursue growth opportunities and align commercial capabilities with business, market, and channel strategies. We combine customer value drivers with transaction-level analysis to identify product and customer economics, then design strategies to communicate and deliver that value. Our work spans growth strategy, sales and service excellence, marketing transformation, product design and innovation, pricing and revenue optimization, and commercial agility through enabling platforms. The USI CS&D team partners closely with US teams on pricing, sales, and marketing strategies; commercial transformation; and platform design across sectors, bringing advanced data modeling expertise and deep delivery experience.
Qualifications
Required:
Master’s degree in Statistics, Data Science, Economics, or MBA with quantitative focus, from an accredited institution.
2+ years of professional experience for consultants in strategy consulting or in an industry product function focused on product strategy, planning, or technology.
2+ years using Python or R for statistical analysis or modeling and SQL for querying structured data.
1+ years’ experience with data platforms such as Snowflake, Databricks, or Google BigQuery.
1+ years building predictive or segmentation models and implementing experimentation (A/B or multivariate testing).
Experience using visualization tools such as Power BI or Tableau to create executive-ready insights.
Preferred:
Experience with customer and product analytics tools such as Amplitude, Mixpanel, Google Analytics, Adobe Analytics, or Qualtrics.
Experience with marketing mix modeling, propensity modeling, churn prediction, or product analytics.
Exposure to LLM solutions, conversational analytics, or retrieval-augmented generation; familiarity with responsible AI, explainable AI, and model governance.
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Working knowledge of agentic AI architectures, including orchestration and agent routing.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MLOps concepts for model deployment and monitoring.
Experience collaborating with global stakeholders outside India, preferably US
