Note: The job is a remote job and is open to candidates in USA. TalentOla is seeking an accomplished Client Partner – Data & Analytics to drive strategic growth across enterprise clients in the Data, Analytics, AI, and Digital Transformation space. The role is responsible for building executive relationships, expanding strategic accounts, identifying new business opportunities, and leading complex end-to-end sales pursuits. The position also involves developing client propositions, managing large deals, cultivating technology partnerships, and representing the organization in industry forums.

Responsibilities

• Own strategic client relationships and serve as a trusted advisor to CIOs, CTOs, CDOs, CAIOs, Chief Analytics Officers and business executives
• Develop and execute account growth strategies for large enterprise customers
• Build multi-level relationships across business, technology and procurement organizations
• Identify whitespace opportunities and expand existing relationships into new business units and geographies
• Develop long-term account plans aligned with client transformation priorities
• Drive new business and account expansion across:
• Data Strategy & Advisory
• Data Modernization
• Data Engineering
• Cloud Data Platforms
• Data Governance & Quality
• Business Intelligence & Visualization
• Advanced Analytics
• AI/ML
• Generative AI
• Data & Analytics Managed Services
• Lead the complete opportunity lifecycle from qualification → discovery → solution shaping → proposal → negotiation → closure
• Develop and maintain a strong qualified pipeline and consistently achieve revenue and bookings targets
• Identify opportunities for large-scale transformation, managed services and multi-year engagements
• Translate business challenges into compelling Data & Analytics transformation opportunities
• Partner with consulting and technical teams to develop executive-level value propositions
• Position data modernization as an enabler for AI, automation, business intelligence and enterprise decision-making
• Build ROI and business cases that demonstrate measurable client outcomes
• Lead complex, multi-tower pursuits involving multiple stakeholders and service lines
• Own commercial strategy, pricing discussions, negotiations and closure
• Drive RFP/RFI responses, executive presentations and account-level proposals
• Build and manage deal teams across sales, consulting, architecture and delivery
• Develop joint GTM opportunities with hyperscalers and technology partners such as AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, SAP and Salesforce
• Leverage partner relationships to create differentiated solutions and accelerate pipeline
• Develop co-selling and marketplace opportunities
• Stay current on emerging Data, AI and Analytics trends, competitive offerings and enterprise buying patterns
• Engage clients around topics such as AI readiness, data modernization, GenAI, data governance and cloud transformation
• Represent the organization at industry forums, executive roundtables and client events

Skills

• 12–18+ years of experience in enterprise technology services, consulting or digital transformation sales
• 8+ years of experience selling Data, Analytics, AI or Cloud Data solutions
• Proven track record of selling into Fortune 500 / Global 2000 / large enterprise accounts
• Demonstrated success managing and growing strategic accounts with $10M+ annual revenue potential
• Strong experience in consultative and value-based selling
• Established relationships with CIO, CTO, CDO, CAIO and senior business executives
• Experience working with offshore/onshore global delivery models
• Strong understanding of enterprise Data & Analytics technologies and transformation programs
• Data Strategy & Data Architecture
• Data Engineering & ETL/ELT
• Data Lakes / Lakehouse
• Cloud Data Platforms
• Snowflake / Databricks / Microsoft Fabric
• AWS / Azure / Google Cloud
• Data Governance, MDM & Data Quality
• BI & Visualization – Power BI, Tableau, Qlik
• Advanced Analytics & Data Science
• AI/ML & Generative AI
• MLOps / DataOps
• Data Modernization
• Analytics Managed Services
• Experience closing $5M–$20M+ TCV / large transformation engagements is highly preferred

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