Senior Director – Advanced Analytics

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👔 Director

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 39 days.
• No salary listed.

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3Cloud

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

3Cloud is a leading Azure partner and Microsoft innovator, specializing in generative AI services for enterprise organizations. The company offers expertise in data analytics, AI, DevOps, cloud app development, and cloud infrastructure management, focusing entirely on Microsoft Azure to help businesses transform and optimize their performance. 3Cloud positions itself as a trusted copilot in the AI journey, aiming to enhance business performance through innovative solutions and strategic alignment of AI projects with business objectives. They cater to a range of industries including healthcare, financial services, manufacturing, and retail, providing managed services and ongoing support to enable and scale positive impacts of AI.

📋 Description

• Lead the practice’s people, technical direction, delivery quality, and growth • Set strategy for how clients discover, understand, and act on data across BI, semantic models, self-service analytics, embedded experiences, conversational analytics, decision intelligence, agents, and workflow-integrated automation • Translate business priorities into modern analytics roadmaps across Power BI, Microsoft Fabric, Databricks, Azure AI, and complementary platforms • Shape market offerings, strategic pursuits, alliance motions, and repeatable revenue growth • Lead managers and teams through clear expectations, coaching, feedback, and accountability • Monitor team health, morale, workload, utilization, and engagement; address performance and staffing risks • Create development plans and support hiring, interviews, performance reviews, promotions, and compensation input • Own Advanced Analytics strategy, architecture, and experience vision • 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 governance, responsible AI, lineage, security, privacy, explainability, monitoring, and human-oversight practices using Microsoft Purview and Unity Catalog • Guide architecture decisions, resolve trade-offs, remove technical blockers, and coach architects and delivery teams • Create reusable standards, reference implementations, playbooks, accelerators, and enablement • Lead executive stakeholder conversations on analytics strategy, cloud modernization, AI adoption, investment priorities, roadmaps, risks, and measurable outcomes • Shape discovery, architecture, estimation, and delivery plans • Run decision forums, architecture reviews, and steering conversations • 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 • Own practice growth strategy, including markets, buyer personas, value propositions, offerings, partnerships, and annual growth priorities • Translate market trends, client demand, Microsoft and Databricks priorities, and delivery lessons into repeatable offerings • Partner with sales, account, marketing, alliance, and practice leaders to create demand, shape pursuits, and build pipeline • Serve as pursuit lead, solution lead, or executive sponsor for strategic opportunities • Package successful outcomes into case studies, demonstrations, reference architectures, executive content, and reusable proof points

🎯 Requirements

• Bachelor’s degree in Analytics, Data Science, Computer Science, Information Systems, Human-Computer Interaction, Business, or related field 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, stakeholder management, and 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 • Relevant Azure, Fabric, Power BI, or Databricks certifications preferred • 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 • Applicants must be unable to require employer-sponsored work visas, as 3Cloud cannot sponsor applicants for work visas

🏖️ Benefits

• Diverse, inclusive, and authentic workplace • Opportunities for growth • Stretch assignments, mentoring, certifications, shadowing, and external visibility opportunities • Continuous learning opportunities in cloud, data, AI, and responsible adoption

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