Data, Analytics & AI Technical Consultant

Lead design and delivery of data engineering, analytics, and applied AI solutions for media and advertising clients. Build scalable ETL pipelines, architect Databricks and cloud data platforms, develop BI integrations, and advise on LLM, RAG, and AI production use cases. Engage clients from discovery through deployment and support, driving performance, governance, and cost optimization. The summary above was generated by AI About V2

V2 Strategic Advisors is where velocity meets voltage - a boutique management and technology consulting firm that has spent 20+ years transforming media and advertising sales organizations. We’re the firm that global and high-growth organizations call when they need more than a strategy deck - they need results.

Our edge? We offer a rare blend of management consulting, data, analytics, AI, and systems integration - all under one roof, powered by best-in-class platforms including Salesforce, Databricks, Snowflake, HubSpot, and leading AI platforms like Claude and Gemini. We understand the nuances of our clients’ most complex challenges and deliver solutions that move the needle.

We’re a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and systems integration consultancies and the energy and agility of a startup. We approach every day with a sense of purpose to deliver with excellence, grow our capabilities, and find fulfillment in what we do. If that sounds like your kind of environment, keep reading. The Opportunity

V2’s data and analytics practice is growing, and we’re looking for a well-rounded, platform-diverse technical consultant to help us accelerate that growth. In this role, you’ll be cross-functionally aligned to multiple client engagements, leading and supporting the full delivery lifecycle from technical discovery through design, build, testing, deployment, and post-go-live support.

You’ll partner closely with Delivery leadership to drive internal and external conversations, build consensus around technical designs, translate business requirements into scalable data architectures, and present recommendations directly to V2 clients. This is a client-facing role that demands both engineering depth and the communication skills to make complex ideas land with senior stakeholders.

You bring strong opinions about how data should be structured, moved, and activated, and you know how to build solutions that serve real business outcomes. You thrive at the intersection of data engineering, advanced analytics, and applied AI, and you’re energized by fast-paced, high-expectations consulting environments. If you want to build something that matters with people who operate at a high standard, keep reading.

What you’ll focus on Data engineering & pipeline development

• Design and build scalable data pipelines, transformation workflows, and ingestion frameworks across client environments using Python and SQL.
• Architect and implement data solutions on Databricks, including Delta Lake, Unity Catalog, and Lakeflow, and integrate with enterprise data warehousing platforms.
• Drive best practices for data modeling, pipeline reliability, performance tuning, and cost governance across engagements.

• Support data migration, integration, and platform modernization workstreams for media and advertising sales clients. Analytics & business intelligence

• Partner with business stakeholders to translate complex data and reporting requirements into reliable, performant analytics solutions.
• Design data models that serve both operational reporting and strategic analytics use cases across prospect-to-cash workflows.
• Support BI tool integration and dashboard development, connecting data platforms to tools such as Tableau, Power BI, or Looker.

• Apply process mapping, measurement strategy, and analytical frameworks to identify optimization opportunities and deliver insight to clients. AI integration & applied intelligence

• Advise clients on AI strategy and help identify where applied intelligence, including LLMs, RAG pipelines, and intelligent agents, can deliver meaningful business value.
• Build and support production AI solutions using platforms including Databricks Mosaic AI, Claude, Gemini, and OpenAI APIs.
• Stay current on emerging AI and ML capabilities and bring those patterns to client engagements and internal practice development proactively.
• Apply machine learning concepts to analytics workstreams where engagements call for it.

Engineering depth. 5+ years of hands-on Python and SQL experience in production data engineering or analytics environments. You’ve built pipelines, governed data platforms, and shipped work that runs reliably at scale. Platform fluency. Demonstrated experience with Databricks, Snowflake, or Google data warehousing platforms. You don’t need to be an expert in every tool, but you need to be genuinely strong in your stack and fast to ramp on adjacent platforms. AI and ML literacy. Hands-on experience working with AI tooling, Claude, Gemini, Cursor, or similar, and a working understanding of machine learning concepts. Experience building or integrating LLM-powered solutions is a meaningful differentiator. Consulting instincts. 5+ years of consulting or technical delivery experience. You understand how engagements work, you can scope and structure a workstream, and you know how to build trust with senior client stakeholders under pressure. Industry context. Meaningful exposure to media, advertising sales, or adjacent industries. You understand the commercial dynamics, the way these organizations sell, operate, and measure performance, and you bring that context into your technical recommendations. Communication that lands. Strong facilitation, documentation, and presentation skills. You can lead a technical architecture discussion in the morning and present findings to a C-suite audience in the afternoon. Broad platform awareness. Familiarity with enterprise CRM, middle-office cloud platforms, and adjacent data technologies is a plus. Exposure to Salesforce or advertising technology platforms is welcome but not required. Cultural alignment. You operate with speed and agility, thriving in fast-paced, entrepreneurial environments. You hold yourself to a high standard - and you raise the bar for the people around you.

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