Describe the responsibilities and accountabilities of the job. Which tasks is the job holder responsible for? What results are to be achieved?
Actionable Analytics – Strategy & Portfolio Ownership
- Define the vision, strategy, and north‑star metrics for Advanced Analytics; shape product roadmaps and value cases across Commercial, Marketing, Digital, and Customer Operations.
- Establish portfolio governance (stage gates, investment cases, benefits tracking) and prioritize initiatives using value, feasibility, and adoption potential.
- Define and own - Analytics Data products and its KPI framework
1. Customer Acquisition & Digital Sales Lead-to-opportunity conversion, Funnel performance (conversion rates, campaign ROI), Lead scoring and prioritization, Digital campaign effectiveness
2. Customer Onboarding & Service : SLA adherence, Service performance - OTIF (On-Time-In-Full), Backorder
3. Complaints & After-Sales : Root cause analysis for complaints, Complaint cycle time
4. Customer Upsell/cross-sell propensity, Track impact on revenue and churn reduction
5. Web analytics using Google analytics, Adobe (Leveraging AI tools)
- Standardize product patterns (data model, features, UX, refresh cadence) to scale across BUs/regions.
Program Orchestration & Delivery
- Lead and orchestrate (with Advanced Analytics IT teams) multiple programs for analytics platform modernization and product rollout; run integrated program plans across data, model, visualization, and change workstreams.
- Align with IM/Digital/IT on platform evolution, integrations and non‑functional requirements (performance, security, scalability).
- Remove impediments, manage dependencies, and maintain executive‑level transparency on risks, timelines, and benefits.
Insight Excellence, Storytelling & Adoption
- Set standards for insight quality (accuracy, interpretability, explainability) and build storytelling rituals—executive readouts, frontline playbooks, and “what/so‑what/now‑what” narratives that drive decisions.
- Partner with Adoption/Change Leads to drive usage: communications, training, champions network, and role‑based enablement.
- Monitor adoption telemetry (active users, task completion, decision impact), run experiments (A/B), and iterate to improve product/market fit.
Cross‑Functional Leadership & Value Realization
- Engage senior stakeholders across Sales/Commercial, Marketing, Digital, and Customer Operations; co‑create value hypotheses and define decision moments where analytics must inform action.
- Translate insights into operational changes (process, policy, incentives) with BU/Regional leaders and shared services.
- Track and publish value realization—revenue uplift, margin improvement, service level gains, cycle‑time reduction.
Data, Platform & Architecture Alignment
- Partner with Data Science/Engineering to choose appropriate methods (predictive, prescriptive, causal) and productionize models reliably.
- Ensure robust data governance (definitions, lineage, quality rules) across the analytics portfolio and alignment to enterprise architecture.
Talent & Culture
- Build and mentor a high‑performing analytics organization — Product Owners, Product Managers in digital domains, GPO Customer Operations.
- Foster a culture of experimentation, evidence‑based decisions, and human‑centered analytics focused on end‑user outcomes
