Overview

We are looking for a client-facing BI Solution Architect to represent our Data & Analytics practice with clients and prospects – leading discovery sessions with senior stakeholders, shaping deals in pre-sales, and designing scalable, well-governed Business Intelligence and AI-augmented analytics solutions that win engagements and deliver results.
In this role, consultative and communication skills are as essential as technical depth: you will be the person we put in front of decision-makers, backed by genuine hands-on expertise in Power BI, Tableau, semantic modeling, and modern AI-enabled analytics.
Project Overview:
We are looking for an experienced BI Expert to design and deliver scalable, high-impact Business Intelligence solutions. In this role, you will combine strong technical expertise with a consultative mindset, working closely with stakeholders to transform data into actionable insights and support data-driven decision-making.

Responsibilities:
  • Own the technical side of pre-sales: lead discovery and scoping sessions with senior leaders and executive stakeholders, qualify opportunities, and shape solutions and estimations
  • Prepare and deliver demos, POCs, and client presentations that convert prospects into engagements
  • Contribute technical expertise to RFP/RFI responses
  • Act as a trusted advisor to client leadership on BI strategy, tooling decisions, and analytics roadmaps
  • Identify and develop upsell and expansion opportunities within existing accounts
  • Tailor messaging and presentations to both executive and technical audiences
  • Translate business requirements into scalable BI architectures and technical solutions
  • Design and prototype interactive dashboards, reports, and semantic models / data models in Power BI and Tableau, guiding delivery teams through build-out
  • Architect reusable, certified semantic layers that serve as a single source of truth for reporting, self-service analytics, and AI-driven consumption
  • Advise clients on adopting AI-augmented analytics: natural-language querying, AI-assisted insights, and copilot-style experiences (e.g., Microsoft Copilot in Power BI/Fabric, Tableau Pulse/Agent), and incorporate them into demos, POCs, and solution proposals
  • Define and implement BI governance: dataset certification, access and security models, naming and documentation standards, and data quality controls across reporting layers
  • Ensure BI and AI solutions meet data accuracy, consistency, privacy, and responsible-AI expectations, and be able to articulate the governance story to client stakeholders
  • Collaborate with data engineers on data warehouses, ETL pipelines, and cloud platforms (AWS, Azure, GCP)
  • Lead requirements gathering and prioritization across all organizational levels
  • Align BI solutions with business goals and analytical needs
Required Qualifications:
  • 5+ years of experience in Business Intelligence, analytics consulting, or solution architecture
  • Proven client-facing track record: leading discovery or scoping sessions with senior business stakeholders (director level and above), with specific engagements and outcomes you can walk us through
  • Direct, hands-on participation in pre-sales: deals you helped shape, POCs you presented, RFP sections you owned
  • Demonstrated ability to present and adapt the same solution to executive, business, and technical audiences
  • Experience in consulting, professional services, or vendor pre-sales environments
  • Strong hands-on expertise with Tableau and Power BI (dashboard development, semantic/data modeling, DAX, performance optimization)
  • Proven experience designing and governing semantic models or metrics layers used across teams (not only single-report datasets)
  • Solid knowledge of SQL and experience with relational databases
  • Practical experience with data warehousing concepts and ETL processes
  • Working understanding of data governance in a BI context: certification, security models, lineage, and data quality — and the ability to explain it convincingly to non-technical stakeholders
Nice To Have:
  • Experience with cloud data platforms (e.g., Snowflake, Databricks, Microsoft Fabric, AWS Redshift, BigQuery)
  • Familiarity with other BI tools such as Qlik or Looker
  • Knowledge of Python or R for data analysis
  • Hands-on experience with AI/GenAI in analytics: Microsoft Copilot and AI capabilities in Fabric, Tableau Pulse/Agent, natural-language Q&A, or building LLM-assisted analytics prototypes
  • Familiarity with governance and cataloging tooling (e.g., Microsoft Purview, Unity Catalog, Collibra, Alation)
  • Understanding of responsible-AI and data privacy considerations in client-facing analytics solutions
  • Experience in outsourcing or nearshore delivery environments
Note:

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