Velir

SEO Marketing

• Support technical SEO audits (crawlability, indexation, site performance, structured data)
• Identify and document issues related to site health using tools and manual review
• Partner with developers to implement fixes and validate changes
• Contribute to ongoing SEO best practices and governance
• Own on-page SEO execution across client websites (metadata, internal linking, content structure, schema recommendations, etc)
• Conduct keyword research and map opportunities to content and site architecture
• Optimize existing content and partner with content teams on new content creation
• Ensure alignment between search intent, content experience, business goals, and SEO best practices
• Monitor and report on SEO performance using tools like Google Search Console (GSC) and analytics platforms (GA4, etc.)
• Translate data into insights and actionable recommendations
• Support measurement frameworks that connect SEO efforts to business outcomes
• Utilize industry tools (such as Ahrefs, Screaming Frog) for audits, research, and monitoring
• Contribute to scalable workflows and documentation for SEO delivery
• Partner with Behavioral Analytics, CRO, and Strategy teams to align SEO with broader digital initiatives
• Support integrated campaigns that connect SEO, content, and experimentation
• Participate in client meetings and contribute to recommendations and presentations

SEO Specialist

Business Development Rep

• Outbound Prospecting: Identify and penetrate new accounts through direct hunting, social selling, and leveraging your existing network.
• Partner Ecosystem: Proactively co-sell with key technology partners (Snowflake, Databricks, dbt, Domo, Sigma and others) to identify and win "new business" opportunities.
• Full-Cycle Sales Ownership: Lead the entire sales process using value-based selling frameworks (e.g., MEDDPICC or Challenger) from initial cold outreach and qualification to final contract negotiation and closing.
• Strategic Territory Development: Build and execute a "go-to-market" plan for your assigned territory or vertical to maximize Velir’s market share in the Data & AI space.
• Expert Solution Positioning: Confidently articulate the value of modern data architectures, AI/ML strategies, and analytics to C-level executives and technical stakeholders. We sell with a consultative, solution-based approach.
• Pipeline Management: Maintain a clean and predictable sales pipeline, ensuring consistent movement of deals through the funnel to hit annual revenue targets.

Director, Business Development – Data & AI

Artificial Intelligence

• Build and manage Velir x Brooklyn Data’s strategic partnerships with leading data and AI platform providers
• Identify and develop new alliance opportunities within the modern data stack ecosystem
• Strengthen Velir x Brooklyn Data’s positioning as a preferred services partner within partner ecosystems
• Identify and pursue “first-to-market” opportunities, including early adoption of new partner features, products, or capabilities
• Develop and execute joint go-to-market strategies that generate pipeline and new business opportunities
• Work closely with Velir x Brooklyn Data’s sales and growth teams to support co-selling initiatives and partner-led opportunities
• Proactively track and register opportunities to ensure the organization receives appropriate credit for sourced opportunities and client consumption growth
• Serve as the primary Velir x Brooklyn Data liaison with key partner executives and alliance leaders
• Establish and nurture executive relationships across partner organizations
• Maintain strong collaboration between Velir’s sales, marketing, and delivery teams and partner counterparts
• Lead Velir x Brooklyn Data’s strategy and execution for data and AI partner conferences, summits, and ecosystem events
• Identify and prioritize the most impactful partner events including Snowflake Summit, Databricks Data + AI Summit, Domo Palooza, and dbt Coalesce
• Develop pre-event go-to-market strategies to drive pipeline generation, partner alignment, and client engagement
• Coordinate internal preparation across sales, marketing, and delivery teams to ensure Velir x Brooklyn Data is positioned effectively throughout event preparation, execution, and follow up
• Oversee execution of Velir x Brooklyn Data’s presence at partner events including executive meetings, speaking opportunities, joint marketing initiatives, and partner engagement activities
• Ensure strong post-event follow-up and pipeline conversion from meetings, leads, and partner introductions generated at these events
• Identify opportunities to showcase Velir x Brooklyn Data’s expertise in data, AI, and modern digital experience transformation
• Drive the development of early case studies and success stories that support partner adoption and strengthen market positioning
• Maintain visibility into partner product and feature roadmaps to proactively identify opportunities for early testing, case studies, and joint go-to-market efforts
• Ensure teams are enabled on partner technologies and value propositions
• Align internal stakeholders on partner priorities and initiatives
• Support joint solution development and partner-aligned service offerings

Director of Data, AI Alliances

Data Analyst

• Senior Data Analysts play a pivotal role in helping client organizations extract valuable insights from their data
• Responsibilities span from data strategy and data modeling to data analysis and visualization
• Collaborate closely with clients to understand business requirements for data analytics solutions
• Recommend and implement the right data analytics tools, platforms, and technologies

Senior Data Analyst

Director

• Lead the creation of experience visions that align business goals, customer needs, brand intent, and delivery realities
• Help clients and internal teams clearly articulate what problem they are solving and why it matters
• Translate ambiguity into clear strategic frames that design, UX, engineering, and data teams can act on
• Use research tools, data analysis, and AI-assisted synthesis where appropriate to accelerate understanding and surface patterns, while applying judgment to define direction
• Define success in business terms, not just experience metrics
• Lead discovery and strategy efforts that go beyond surface-level requirements gathering
• Develop a deep understanding of client business models, operating constraints, and competitive context
• Leverage qualitative research, analytics, and AI-supported analysis to identify behavioral patterns, friction points, and opportunity areas
• Quantify, where possible, the business impact of experience challenges and strategic recommendations
• Ground strategy in evidence, insight, and informed judgment, not assumption or novelty
• Work as a true partner to design leadership and UX teams
• Provide clear intent, priorities, and constraints so creative work is purposeful and focused
• Participate actively in concept development, journey definition, and experience narrative creation
• Use AI thoughtfully to explore concepts, test variations, or accelerate iteration, without replacing creative authorship or critical thinking
• Help teams navigate tradeoffs without losing sight of the experience vision
• Lead experience strategy from discovery through delivery and ongoing optimization
• Stay close to delivery so strategy evolves based on learning, performance, and real constraints
• Own strategic narratives, roadmaps, hypotheses, and prioritization decisions
• Partner with engineering, data, experimentation, and delivery teams to ensure strategy is realized in the work
• Apply AI where it meaningfully improves speed, clarity, or insight across planning, experimentation, personalization, and optimization workflows
• Identify opportunities within client work to clarify scope, deepen engagement, or reframe the problem being solved
• Partner with account, design, and delivery leads to shape meaningful strategic work
• Contribute to proposals and strategic framing for new or expanded engagements
• Use insight, data, and emerging tools to help define smarter, more relevant opportunities
• Take ownership of the work you are involved in and the quality of the problems being addressed
• Contribute to shared frameworks, POVs, and reusable strategy assets
• Bring learnings from client work back into the organization to improve how strategy is practiced
• Help evolve processes, tools, and ways of working, including the responsible use of AI in strategy and delivery
• Support internal learning through case studies, reviews, and collaboration across disciplines

SEO Specialist

Director, Business Development – Data & AI

Director of Data, AI Alliances

Senior Data Analyst

Director of Experience Strategy