Leads client-facing operational analytics strategy and delivery. Partners with senior stakeholders to define business questions, design dashboards and predictive or prescriptive models, develop analytics roadmaps, and translate data into actionable recommendations. Manages end-to-end analytical modeling projects, coordinates client and offshore delivery teams, communicates technical concepts to nontechnical audiences, and guides junior analytics consultants while ensuring quality and alignment with business goals.
Lead operational analytics strategy across teams. Ensure data-driven decision-making in operations. Partner with leadership to drive business goals through operational insights.
This is a client-facing role intended to bring strategic thought-leadership and analytical rigor to our Analytics practice, as well as to provide onshore presence and guidance to our offshore delivery model.
ResponsibilitiesLead operational analytics strategy. Partner with leadership on data driven decision-making. Ensure team�s alignment with business goals.
In this position, you will:
- Partner with our F1000 clients and their senior management teams to understand business objectives, frame key business questions and translate them into analytics solutions
- Work with business and technology partners in cross-functional teams to understand the client's data ecosystem and data availability
- Lead solution design for performance dashboards, predictive and prescriptive analytics models to solve specific problems in the domain of marketing, eCommerce, customer or operations analytics
- Apply your experience and expertise in data science methods, problem-solving, storytelling to capture meaningful insights and recommendations from data and work with the client partners to action those recommendations within the organization
- Define analytics project roadmaps for clients aligned to their specific business objectives
- Facilitate, track, coordinate and communicate reactive and proactive support status and enhancement requests, between the client stakeholders and eClerx delivery teams via written documents and presentations; communication will range from high level to detailed level depending on need and will take the form of specifications, diagrams, and data/process models
- Have the ability to perform tasks independently, lead analytics delivery teams, and direct the efforts of junior analytics consultants
- Own end-to-end management of analytical modeling projects; ensure quality, accuracy, relevance, and consumption of analytical results and recommendations
- Most importantly, the successful candidate will be a team player and collaborator within the eClerx ecosystem across multiple geographies (delivery teams are based in the US, Canada, EU, and APAC)
Bachelor�s degree in Business, Data Science, Operations, or related field. 4-6 years of experience in operational analytics, business analytics, or related fields.
- Understanding of how analytics is used in decision making in one or more industries (e-Commerce, Retail, Software, Tech, COG, etc.) and functional areas (marketing, customer analytics and insights, product, operations, etc.)
- Strong understanding and ability to interpret analytics solutions/models. Prescribe suitable solutions with an understanding in limitations of toolsets and available data
- Experience in managing procurement of data from various sources and perform data audits
- Experience in using BI/Visualization tools (Tableau, PowerBI etc.)
- Excellent communication skills (both written and verbal) as well as ability to present complex technical concepts to a non-technical audience
- Strong project management and organizational skills
- Strong problem-solving and troubleshooting skills. Proven experience in prioritizing and delegating work to meet deadlines, objectives, and quality metrics
EXL Chennai, Tamil Nadu, IND Office
Chennai, India
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads engineering teams developing enterprise AI/ML and conversational AI solutions, including chatbots, voice bots, and virtual assistants. Owns technology roadmaps, Agile delivery, platform integrations, responsible AI, DevOps, CI/CD, Terraform, security, and compliance. Partners with executives and cross-functional teams to drive AI adoption, innovation, measurable business outcomes, and organizational change while coaching and developing high-performing engineering teams.
Top Skills:
Agentic AiAi Development Lifecycle (Aidlc)Amazon ConnectAmazon LexAws Ai/MlAzure AiCcaasCi/CdCloud-Native ArchitecturesConversational AiDevOpsFive9Generative AiGenesysGoogle AdkGoogle Cloud AiGoogle DialogflowLlmsNiceNode.jsPythonResponsible AiRetrieval-Augmented Generation (Rag)TerraformTypescriptVoice Ai
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Owns technical delivery and solution outcomes for Alternative Credit and FactorTrust products. Leads roadmap planning, backlog prioritization, requirements analysis, solution design, development oversight, testing, release, documentation, and adoption across multiple scrum teams. Coordinates engineering, data science, analytics, compliance, architecture, and business stakeholders while managing dependencies, risks, regulatory requirements, and operational readiness. Supports high-volume data processing, credit scoring, alternative data integrations, model deployment, and platform modernization.
Top Skills:
Ab InitioAgileAWSCloud ServicesGCPMachine LearningSafeScrum
Artificial Intelligence • Cloud • Information Technology • Consulting
Owns the continuous improvement, scalability, and expansion of AI and automation across HR services. The role monitors AI accuracy, latency, errors, operational impact, and KPIs; prioritizes training data; identifies automation opportunities; investigates output issues; and manages feedback cycles. The Product Manager partners with HR and multidisciplinary teams to standardize processes, communicate AI concepts, deliver global programs, and ensure reliable, compliant, customer-focused solutions.
Top Skills:
Artificial Intelligence (Ai)Automation
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
