Vacancies Product & Program Lead Analytics & Insights

Job Purpose

What is the primary purpose of this job Describe main objectives.

AkzoNobel is a global leader in paints and coatings operating in over 150 countries with a strong commitment to innovation and sustainability. Our Digital Transformation Team operates like a startup inside the enterprise building nextgeneration capabilitiesincluding advanced analyticsto transition 10 billion in revenue through digital channels and accelerate profitable growth.

The Product & Program Lead - Digital Excellence Analytics sets the endtoend strategy portfolio and operating model for analytics products that power Commercial Marketing Digital and Customer Operations. This role converts business questions into insight products and decision tools orchestrates multiyear delivery programs ensures adoption at scale and routinely communicates datadriven stories that move leaders and frontline teams to action.

Scope & Impact

• Own the Advanced Analytics product portfolio (marketing performance & ROI; commercial analytics digital/lead funnel analytics; customer operations & service performance SLA and OTIF/Backorders insights).
• Govern crossBU and crossregion use cases data standards and reusability patterns to industrialize analytics into repeatable products.
• Lead the strategy delivery and adoption of analytics products that span the entire customer lifecyclefrom acquisition and lead conversion service complaints etc. Drive actionable insights that improve revenue retention satisfaction and operational efficiency across all customer touchpoints
• Define the holistic analytics vision linking web app and omnichannel customer journeys for end-to-end visibility
• This role also collaborates with ISC Deliver Commercial Quality I.T Advance Analytics team
• Ensure that every analytics release is valuable usable and adoptedwith measurable outcomes (growth margin service cycle time and productivity).

Key Activities

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 northstar 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 nonfunctional requirements (performance security scalability).
• Remove impediments manage dependencies and maintain executivelevel transparency on risks timelines and benefits.

Insight Excellence Storytelling & Adoption

• Set standards for insight quality (accuracy interpretability explainability) and build storytelling ritualsexecutive readouts frontline playbooks and what/sowhat/nowwhat narratives that drive decisions.
• Partner with Adoption/Change Leads to drive usage: communications training champions network and rolebased enablement.
• Monitor adoption telemetry (active users task completion decision impact) run experiments (A/B) and iterate to improve product/market fit.

CrossFunctional Leadership & Value Realization

• Engage senior stakeholders across Sales/Commercial Marketing Digital and Customer Operations; cocreate 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 realizationrevenue uplift margin improvement service level gains cycletime 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 highperforming analytics organization Product Owners Product Managers in digital domains GPO Customer Operations.
• Foster a culture of experimentation evidencebased decisions andhumancentered analytics focused on enduser outcomes

Experience

List the essential educational qualifications relevant experience and required skills.

Education & Experience

• 1015 years in product management/program leadership for data & analytics digital or commercial technologywithin global multiregion organizations.
• Demonstrated success building and scaling analytics products (dashboards decision tools AI/ML models) from concept to adoption and measurable business impact.
• Deep exposure to Commercial Marketing Digital and Customer Operations domains; comfortable engaging with senior business leaders.

Technical & Product Skills

• Strong understanding of various Systems Datasets
• SAP ERP (SD): Sales Orders Deliveries Invoices (including credit/debit memos);
• SAP COPA for profitability analysis.
• Salesforce (CRM) or equivalent system : Leads Opportunities Accounts Activities Campaigns.
• Strong understanding of analytics platforms modern data stacks KPI frameworks visualization tools (e.g. Power BI/Tableau/Qlik Celonis) and AI/ML productization practices.
• Fluency in nonfunctional requirements (performance security scalability) APIs/integrations data governance and lifecycle management.

Advanced Analytics & Data Science

• Strong understanding of descriptive diagnostic predictive and prescriptive analytics along with forecasting segmentation and optimization.
• Ability to translate business problems into analytical questions and guide data science on model design validation explainability and performance monitoring.
• Familiarity with ML Ops model lifecycle management and productionization best practices.

Data Architecture & Engineering Alignment

• Solid understanding of modern data architectures (data lake/lakehouse) semantic layers and data pipelines.
• Ability to partner with Data Engineering on ingestion lineage data quality and dependencies.
• Knowledge of data governance metadata access controls and compliance considerations.

Visualization UX & Decision Tools

• Strong command of visualization and dashboard best practices (Power BI/Tableau/Qlik).
• Skilled at shaping intuitive action-oriented insights and decision tools rather than static reports.
• Ability to ensure analytics experiences are simple relevant and aligned to real user journeys.

Leadership & Communication

• Exceptional business storytellingable to turn data into compelling narratives and clear recommendations; confident presenter to senior leadership.
• Strong stakeholder management; able to influence across BUs/regions and align diverse teams without direct authority.
• Proven people leadership: hiring coaching career development and building communities of practice.