[Hiring] Senior Manager, Data Strategy @Velir

Role Description

The Senior Manager of Data Strategy leads end-to-end delivery for client engagements with moderate to high technical and organizational complexity, serving as the primary client-facing engagement lead. The role requires working fluency across the modern data stack, including ingestion, warehousing, transformation, and BI/reporting, so they can lead technical discovery, articulate platform tradeoffs, and help clients and internal teams reach sound architecture decisions. They partner with technical leadership on the most complex calls, while independently owning the lower-risk ones.

The Senior Manager of Data Strategy also frames the roadmap around the client's business goals, the urgency behind them, and the impact of acting or not, so priorities are justified by outcomes and not just scope. They own delivery governance across multiple workstreams and engagements, managing cross-team dependencies and escalation paths, and are accountable for the outcome of every engagement they lead.

Responsibilities

• Strategic Vision:
  • Communicate the vision of data solutions and create buy-in for the product vision internally and with clients.
  • Lead discovery and problem framing across workstreams, meeting with key client stakeholders to translate vision and business requirements into technical and analytical requirements.
  • Frame the roadmap around the client’s business goals, the urgency behind them, and the impact of acting (or not).
  • Weigh the client’s AI readiness, including data quality, governance, and semantic layer maturity, alongside reporting and BI needs when shaping engagement priorities.
  • Deliver regular internal and external project status reports to key stakeholders and executives.
  • Develop data solutions positioning strategies, including business development initiatives such as product partnerships, proposal writing, client extensions, and other revenue-generating activities.
• Cross-Team Collaboration:
  • Collaborate with other functional departments to ensure alignment with the goals of the data engagement.
  • Submit staffing requests to Resource Management to ensure the right team is in place to deliver against client needs.
  • Work with functional teams to design data architecture for clients and recommend appropriate infrastructure and tools.
  • Manage cross-team dependencies and escalation paths across workstreams, and keep developers across those workstreams supported and engaged.
• Engagement Delivery:
  • Translate data solutions strategy into detailed requirements for other functional teams.
  • Serve as the primary point of contact for managing, building, and maintaining positive client relationships.
  • Own delivery governance across multiple workstreams/engagements, managing project schedules and team workload to optimize capacity and velocity.
  • Drive the successful delivery of client projects within defined budget, schedule, and scope with outstanding client satisfaction.
  • Manage the sprint board for each engagement, including backlog management, planning, and retrospectives.
  • Proactively identify, track, and mitigate issues and risks, and provide strategies and recommendations.
  • Help shape and scope account expansion (extensions, change orders), including AI-readiness assessments, in partnership with Client Services.

Qualifications

• 8–12 years of experience independently leading complex and broad-ranging data projects.
• Strong project management skills, including experience operating in and building Agile and other frameworks.
• Strong analytical, critical thinking, and creative capabilities.
• Strong knowledge of the modern data stack and its components.
• Working familiarity with how AI and agentic workflows consume data.
• Hands-on experience as an analyst, analytics engineer, data engineer, or similar.
• Organized and process-oriented.
• Available for occasional client travel, up to 10% of the time.
• Ability to speak to all levels of prospective clients: strategic and tactical decision-makers.
• Excellent interpersonal and communication skills.

Requirements

• Intermediate proficiency across the core components of a modern data platform.
• Ability to assess whether a client’s data models and pipelines are structured to support downstream AI and agentic use cases.
• Understanding of how the pieces fit together to deliver value to the client.
• Agile Professional: Well-equipped to tackle unforeseen situations and capable of jumping into projects and teams at any point in their development.

Benefits

• Competitive pay.
• Excellent benefits.

Core Company Values

• Take the Long View - Ensure the company is built to last.
• Be Courageous - Make the right decisions even when they aren't the easiest decisions.
• Be Genuine - Bring honesty and authenticity to all that you do.
• Work with Focus + Passion - Display purpose and pride in your work and never stop learning.