About The Position

The Senior Director of Advanced Analytics leads the practice’s people, technical direction, delivery quality, and growth. The role sets the strategy for how clients discover, understand, and act on data across business intelligence, semantic models, self-service analytics, embedded experiences, conversational analytics, decision intelligence, agents, and workflow-integrated automation. It translates business priorities into modern analytics roadmaps across Power BI, Microsoft Fabric, Databricks, Azure AI, and complementary platforms, while shaping market offerings, strategic pursuits, alliance motions, and repeatable revenue growth. The position shares accountability for market relevance, pipeline, bookings, revenue, margin, utilization, delivery excellence, and talent development. Success requires technical credibility, executive presence, commercial ownership, and the ability to foster a culture of client value, innovation, trust, and continuous improvement.

Requirements

  • Bachelor’s degree in Analytics, Data Science, Computer Science, Information Systems, Human-Computer Interaction, Business, or a related field is preferred.
  • 15+ years in analytics, BI, data products, decision intelligence, or adjacent human-centered data disciplines, including sustained practice leadership.
  • 12+ years delivering enterprise-scale cloud, data, analytics, AI, modernization, or platform solutions.
  • 7+ years leading architecture, engineering, or multi-team delivery.
  • Deep expertise in modern analytics architecture, including Power BI, Microsoft Fabric, Databricks, Azure data services, semantic and metrics layers, self-service patterns, conversational analytics, agents, and workflow integration.
  • Proven experience building and growing a consulting practice or portfolio, with accountability for offerings, pipeline, bookings, revenue, margin, utilization, alliances, pursuits, and executive sponsorship.
  • Strong consulting presence, executive communication, structured problem solving, and stakeholder management skills.
  • Ability to lead hybrid teams across complex, matrixed environments.
  • Commitment to continuous learning in cloud, data, AI, responsible adoption, and practical improvement for teams and clients.

Nice To Haves

  • Relevant Azure, Fabric, Power BI, or Databricks certifications.
  • Experience with multiple cloud vendors and complementary platforms such as Snowflake, Microsoft Fabric, Power BI, and Databricks.
  • Experience creating and scaling Advanced Analytics offerings spanning BI, data products, embedded and conversational analytics, decision support, agents, and workflow automation.

Responsibilities

  • Lead managers and teams with clear expectations, coaching, regular feedback, and accountability for delivery commitments, growth plans, and internal contributions.
  • Monitor team health, morale, workload, utilization, and engagement, and address performance or staffing risks in partnership with practice leadership.
  • Create employee development plans that include stretch assignments, mentoring, certifications, shadowing, and external visibility opportunities.
  • Support hiring, interviews, performance reviews, promotion recommendations, compensation input, and consistent talent standards across the practice.
  • Represent team needs, risks, successes, and patterns in leadership forums, and communicate priorities and decisions to the organization.
  • Own Advanced Analytics strategy, architecture, and experience vision across Power BI, Microsoft Fabric, Databricks, Azure AI, and related platforms.
  • Set standards for BI, dashboards, semantic and metrics layers, governed self-service, embedded analytics, natural-language exploration, conversational analytics, alerts, narratives, agents, and decision workflows.
  • Define reference architectures spanning data ingestion, lakehouse, warehouse, ontology, semantic models, user experiences, APIs, and operational decision points.
  • Establish practices for trust, governance, responsible AI, lineage, security, privacy, explainability, monitoring, and human oversight, using platforms such as Microsoft Purview and Unity Catalog.
  • Guide major architecture decisions, resolve trade-offs, remove technical blockers, and coach architects and delivery teams toward scalable, secure, reliable, accessible, and cost-effective solutions.
  • Create reusable standards, reference implementations, playbooks, accelerators, and enablement to raise technical excellence and speed delivery across the practice.
  • Lead executive stakeholder conversations about analytics strategy, cloud modernization, AI adoption, investment priorities, roadmaps, risks, and measurable outcomes.
  • Shape discovery, architecture, estimation, and delivery plans that balance value, cost, speed, quality, adoption, and long-term platform health.
  • Run decision forums, architecture reviews, and steering conversations that produce clear decisions, rationale, ownership, and next steps.
  • Align teams on outcomes, backlogs, dependencies, APIs, integration contracts, delivery cadences, operating models, quality measures, and release plans.
  • Track risk, technical debt, quality trends, architectural drift, and delivery performance; recommend course corrections that protect client outcomes and margin.
  • Own the practice growth strategy, including priority markets, buyer personas, value propositions, offerings, partnerships, annual growth priorities, and measurable business outcomes.
  • Translate market trends, client demand, Microsoft and Databricks priorities, and delivery lessons into repeatable plays, workshops, assessments, accelerators, and managed capabilities.
  • Partner with sales, account, marketing, alliance, and practice leaders to create demand, qualify whitespace, shape pursuits, and build pipeline across new and existing clients.
  • Serve as pursuit lead, solution lead, or executive sponsor for strategic opportunities, shaping win themes, solution strategy, estimates, staffing, risks, and executive presentations.
  • Package successful outcomes into case studies, demonstrations, reference architectures, executive content, and reusable proof points to strengthen credibility and shorten sales cycles.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service