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Owns the full sales lifecycle for consulting, digital transformation, data, analytics, and AI services across mid-market and enterprise accounts. Responsibilities include new business development, strategic account expansion, executive stakeholder engagement, partner collaboration, pipeline management, solution shaping, proposals, statements of work, negotiations, and closing complex seven-figure deals. The role partners with Salesforce, Tableau, Snowflake, and other technology ecosystems while applying MEDDIC or MEDDPICC sales methodology.

Design and deliver scalable analytics solutions for clients, including dashboards, data models, and self-service platforms. Translate ambiguous business questions into visual, actionable insights while collaborating with stakeholders across industries. Use tools such as Tableau, Sigma, Snowflake, dbt, Power BI, cloud data platforms, and AI. The role requires strong analytical and communication skills, curiosity, and at least three years of relevant data analytics experience.

As an AI Data Engineer, you will design AI-driven data workflows, implement autonomous agents, and collaborate on real client solutions using advanced technologies.

The role involves designing and implementing data solutions, building data pipelines, data lakes, and warehouses for client analytics, requiring strong data engineering skills and a customer-oriented approach.