Data Analytics Leadership Role

🕒 May 19

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 36%

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Exavalu

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Lead Data & Analytics practice initiatives including Pre-Sales, Solution Architecture, Delivery Governance, and Capability Building • Engage with enterprise clients to understand business challenges and propose scalable Data & Analytics solutions • Drive RFP/RFI responses, solution presentations, estimation, proposal creation, and client workshops • Define data transformation strategies covering Data Engineering, BI & Reporting, Cloud Analytics, AI/ML, and Governance • Collaborate with Sales and Account teams to identify opportunities and support business growth • Lead large-scale analytics programs and ensure successful delivery with quality and stakeholder satisfaction • Build and mentor high-performing Data & Analytics teams across technologies and domains • Provide thought leadership on modern data platforms, cloud ecosystems, and analytics trends • Establish best practices, reusable accelerators, frameworks, and delivery standards • Manage executive-level stakeholder communication and client relationships

🎯 Requirements

• 12+ years of experience in Data & Analytics with strong exposure to Pre-Sales and Delivery Leadership • Hands-on experience in Data Engineering, Data Warehousing, BI/Visualization, and Cloud Analytics platforms • Strong understanding of Azure, AWS, GCP, Snowflake, Databricks, Power BI, Tableau, SQL, and Python • Experience in solutioning for enterprise analytics and digital transformation programs • Strong experience in client-facing roles including consulting, stakeholder management, and proposal management • Ability to lead cross-functional teams and manage multiple engagements • Excellent communication, presentation, and leadership skills

🏖️ Benefits

• Flexible work arrangements depending on employee, customer, and business needs • Part-time work options • Working outside normal 9–5 business hours • Remote work • Welcome back program supporting people returning after a long break due to health or family reasons • Diverse and inclusive workplace culture • Career growth opportunities

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