Data Solutions Architect

About the Role

We are seeking a Data Solutions Architect to serve as the strategic and customer-facing leader for our most complex and high-impact data initiatives. This role will work directly with enterprise customers to deeply understand their data challenges, identify opportunities, and define productized solutions that deliver measurable business value.

The ideal candidate will blend product management expertise, customer consulting skills, and a strong technical background in the data space — capable of translating customer needs into data-driven solutions.

Key Responsibilities

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  Own and drive the product vision, strategy, and roadmap for enterprise data initiatives.

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  Engage directly with enterprise customers to understand business needs, data challenges, and opportunities.

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  Define and deliver productized data solutions that create measurable business value.

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  Collaborate closely with engineering, data science, and design teams to ensure seamless execution.

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  Prioritize features and improvements based on customer impact, business value, and strategic alignment.

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  Act as a trusted advisor for clients, bridging the gap between business needs and technical execution.

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  Define success metrics and measure product adoption, customer satisfaction, and business outcomes.

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  Influence stakeholders across functions and regions to drive alignment and adoption of data solutions.

Requirements

Must-Haves

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  5–10 years of product management experience, with a focus on data products, platforms, or analytics solutions.

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  Strong understanding of modern data platforms, data engineering, and cloud ecosystems.

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  Proven experience engaging directly with enterprise customers in a consultative or product leadership capacity.

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  Ability to translate business challenges into data-driven product requirements and solutions.

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  Excellent communication, stakeholder management, and problem-solving skills.

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  Strong track record of building and delivering data products that create measurable impact.

Nice-to-Haves

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  Prior experience working in B2B enterprise SaaS or consulting environments.

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  Exposure to industries such as BFSI, Retail, Healthcare, or Telecom.

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  Familiarity with AI/ML-driven products or advanced analytics.

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  MBA or advanced degree in technology, product management, or related field.

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  Experience managing globally distributed teams and stakeholders.

Benefits