Director of Analytics, Interim
N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.
We are looking for an Interim Director of Analytics to join our CTO group and to provide immediate leadership stability, drive an at-risk transformation involving AI-assisted analytics tooling and governed workflow automation, and set a durable operating model ahead of a permanent leadership handover. This is a full functional leadership assignment, not a coordination-only role: the interim director carries temporary accountability for analytics priorities, people leadership, stakeholder outcomes, and operating performance across the client's core business domains.
Requirements:
Substantial senior leadership experience as a Director of Analytics, Head of Analytics, or equivalent, with accountability for multiple analytics teams, team leads, business outcomes, and operational performance.
Demonstrated ability to take over a function or at-risk portfolio, establish credibility quickly, stabilize delivery, define a realistic target state, and translate it into a short dated plan with clear owners and measurable outcomes.
Strong portfolio and business-partnership experience across Product, Sales, Marketing, Finance, Data Engineering, and senior leadership, including the ability to make and communicate difficult prioritization and capacity trade-offs.
Proven people leadership across countries or time zones, with credibility in hiring, onboarding, coaching, performance management, succession, organizational design, reorganizations, and difficult people decisions.
Ability to establish a durable analytics operating model: clear decision rights, empowered team leads, consistent intake and prioritization, quality standards, stakeholder routines, and outcome-based performance management
Experience steering AI-enabled analytics transformation using benchmarks, quality gates, adoption and value metrics, stakeholder validation, governed self-service, and controlled rollout to business users.
Sound judgment in balancing innovation with operational continuity, analytical integrity, spend, security, privacy, scope, and production quality, with enough technical depth to challenge weak assumptions and expose hidden risk.
Executive-level communication and influence, including concise performance reporting, decision framing, conflict resolution, vendor management, and the ability to work effectively as an external leader within delegated authority.
Advanced English skills.
Opportunity to travel within Europe or globally once per month.
Responsibilities:
Rapidly assess the function's current state and establish a clear interim mandate, target state, and 30/60/90-day plan covering operational continuity, critical risks, transformation priorities, decision dates, accountable owners, and measurable outcomes
Own the analytics strategy and portfolio for the interim period, align work to the highest-value business priorities, and make explicit choices about what to accelerate, defer, stop, or resource differently
Clarify decision rights, responsibilities, and interfaces among domain analysts, team leads, internal platform and engineering partners, and business stakeholders so the function can operate with pace
Lead team leads and analysts through clear objectives, outcome-based accountability, regular coaching, and consistent performance expectations, in partnership with internal People leadership on sensitive decisions
Own capacity and workforce priorities for the interim period, including coverage, hiring and onboarding needs, critical skill gaps, and the allocation of scarce capacity between business-as-usual support and transformation work
Own the integrated AI-native transformation roadmap from current-state diagnosis through rollout readiness, benchmark cycles, governed adoption, stabilization, and handover
Set and enforce quality gates for AI-enabled analytics, including benchmark performance, stakeholder validation, adoption measures, and clear thresholds for moving from experimentation into normal operations
Represent Data Analytics with senior business and technology stakeholders; establish transparent intake, prioritization, service expectations, and decision forums
Maintain one executive view of function health covering outcomes, delivery, analytical quality, people and capacity, adoption, risks, dependencies, and decisions, escalating with concrete path-to-green options
Resolve cross-functional dependencies and conflicts across Analytics, Product, Sales, Marketing, Finance, and Data Engineering, and document a structured handover plan for permanent leadership.