HARMAN Risk Intelligence

Strategic Entry Plan

Customer Excellence Risk Management Lead · HARMAN Automotive · Prepared by Lucas Chamon

Executive Summary

This strategic plan outlines the foundational operating model for the Customer Excellence Risk Management Lead role at HARMAN Automotive. Recognizing that this is a newly created, leadership-level position, this document establishes a robust risk architecture grounded in Enterprise Risk Management (ERM) best practices.

By integrating the COSO ERM 2017 Framework and the Institute of Internal Auditors' (IIA) Three Lines Model, this plan defines how risk information will be gathered, assessed, and streamlined into executive-ready intelligence. The primary objective is to transition the organization from reactive crisis management to proactive risk intelligence — protecting profitability, ensuring delivery performance, and maintaining customer confidence across the automotive portfolio.

ERM Operating Model

To operate effectively across a matrixed global organization, the risk management function must have clear boundaries of accountability. I propose adopting the Three Lines Model, aligned with the COSO ERM 2017 Framework, tailored specifically for HARMAN Automotive.

The COSO ERM Framework defines five interlocking components: Governance & Culture (setting the tone at the top), Strategy & Objective-Setting (defining risk appetite aligned with business objectives), Performance (identifying, prioritizing, and responding to risks), Review & Revision (continuous improvement of risk practices), and Information, Communication & Reporting (the continuous flow of risk intelligence to all stakeholders).

This model ensures that risk is managed at the operational level (1st Line: Program Managers, Sales, Engineering, Supply Chain), overseen strategically (2nd Line: Risk Management Lead), and validated independently (3rd Line: Finance, Compliance, Internal Audit). The VP Customer Excellence and SLT sit above all three lines, setting the enterprise risk appetite and holding all functions accountable.

Information Flow Architecture

Risk information must flow seamlessly from cross-functional "sensors" to the central intelligence engine, and ultimately to executive leadership. The Risk Management Lead acts as the central node, synthesizing disparate data points to form a holistic view of enterprise exposure.

Layer 1 (Inputs) captures signals from Sales & Commercial (tariffs, contracts, pricing), Program Management (delivery, scope, timing), Engineering (technical maturity, architecture), Supply Chain & Purchasing (memory, semiconductors, supplier health), Quality & Finance (CoPQ, warranty, margin), and External Signals (geopolitical, regulatory, market).

Layer 2 (Intelligence Engine) aggregates these inputs, applies the 4-C Quality Gate, rates risks using the Probability × Impact matrix, and drives the HD lifecycle from awareness to financial realization.

Layer 3 (Outputs) delivers decision-ready intelligence to the Executive Dashboard (SLT, ALT, VP), Customer Groups (NA, EU, China, Japan, India), Program Teams (mitigation actions, milestones), and Finance (financial realization, P&L impact).

Risk Information Quality: The 4-C Framework

To ensure executive decisions are based on reliable data, all risk information must meet strict quality standards before escalation. I propose the "4-C Framework" as the standard quality gate for all risk reporting.

Clarity requires that the risk be articulated in plain business language, avoiding overly technical jargon when communicating to non-technical stakeholders. The decision required must be explicit and unambiguous.

Completeness demands that the assessment capture the full cross-functional impact across Cost, Timing, Quality, and Customer Relationship dimensions. Mitigation options must be documented with owners assigned.

Currency ensures that data reflects the most recent market or program realities — for example, the latest memory spot prices or current tariff rulings — and that information is not stale or based on outdated assumptions.

Credibility requires that financial impacts be quantified using validated models and approved by Finance, with all assumptions explicitly stated and sources traceable. Risks that fail the 4-C gate are returned to the originating function for enrichment before escalation.

Automotive Risk Driver Baseline

Based on HARMAN Automotive's portfolio (Infotainment, Digital Cockpit, Audio, Telematics, ADAS) and current market dynamics, the following risk drivers require continuous, proactive monitoring. This baseline will be validated with the Advanced Leadership Team (ALT) in the first 30 days and updated quarterly.

Commercial & Supply Chain Risks include Memory Market Volatility (DRAM/NAND pricing directly impacts BOM cost of compute-heavy products like Cockpit Domain Controllers), Geopolitical & Tariff Exposure (US-China and other trade policy changes affecting electronic components and raw materials), and Sub-Tier Supplier Fragility (financial or operational instability within Tier-2 and Tier-3 suppliers for specialized automotive-grade semiconductors).

Program Execution & Technical Risks include Software-Defined Vehicle (SDV) Complexity (integration challenges, cybersecurity compliance under UN R155, and software maturity risks), Scope Creep & Change Management (unmanaged customer feature requests that erode margins without commercial recovery), and Launch Readiness (delays in validation, testing, or industrialization impacting OEM Start of Production timelines).

Geopolitical Risks include NEO/Rare Earth Export Restrictions (Chinese government restrictions on neodymium and other rare earth elements used in premium audio systems) and Cybersecurity Regulatory Changes (evolving UN R155 and ISO/SAE 21434 requirements across all connected vehicle products).

Risk Appetite Classification Framework

Segmented appetite thresholds by Product Business Unit and OEM Customer Tier

NEW

A single enterprise-wide risk appetite threshold is insufficient for a portfolio as diverse as HARMAN Automotive's. A safety-critical ADAS program for BMW carries fundamentally different risk tolerance than a standard audio system for an emerging OEM. This framework establishes a segmented risk appetite model operating across three dimensions simultaneously: Product Business Unit, OEM Customer Tier, and Risk Category.

The output is a living Risk Appetite Matrix that assigns specific thresholds — financial exposure limits, schedule variance tolerances, KRI breach limits — to each BU/customer combination. This matrix will be formally reviewed quarterly by the SLT and updated to reflect changes in business strategy, market conditions, and portfolio mix.

Click any cell to view the rationale for that BU / Customer Tier combination.

Product BU
Tier-1 Premium
BMW, Toyota/Lexus, Mercedes-Benz
Tier-2 Volume
Stellantis, Ford, GM, VW Group
Tier-3 Emerging
BYD, Rivian, Regional OEMs
Intelligent Cockpit
Car Audio
ADAS
Spaces
Very Low
Low
Moderate
High
Very High

30-60-90 Day Action Plan

First 30 Days

Discover & Assess

Stakeholder Alignment

Conduct 1:1s with key functional leaders (Sales, Finance, Engineering, Supply Chain) across NA, EU, and Asia to map current pain points and information flow gaps.

System Audit

Review the existing risk registers in Amplify to assess the current quality of data against the 4-C framework. Identify gaps and quick wins.

Baseline Validation

Validate the proposed Automotive Risk Driver Baseline and initial KRIs with the Advanced Leadership Team (ALT). Adjust based on their priorities.

Relationship Building

Establish trust and credibility with cross-functional partners. Understand the informal information flows that exist today.

Day 31–60

Design & Align

Framework Deployment

Formally introduce the Three Lines Model, the 4-C Quality Framework, and the streamlined risk intake process to cross-functional teams.

Dashboard Prototyping

Develop the V1 Executive Dashboard, focusing on high-priority commercial risks (Tariff exposure, Memory volatility) and critical program execution risks.

Pilot Program

Apply the streamlined mitigation workflow to 2-3 high-profile, high-risk programs to demonstrate the new methodology's value and build credibility.

KRI Calibration

Finalize KRI thresholds with Finance and functional leads. Ensure all 8 initial KRIs are being tracked and reported consistently.

Day 61–90

Execute & Optimize

Operating Cadence Launch

Establish the weekly/monthly/quarterly rhythm for risk reviews and SLT reporting. Publish the cadence calendar to all stakeholders.

Proactive Monitoring

Integrate automated KRI monitoring for the baseline risk drivers to shift the organization from reactive firefighting to proactive risk intelligence.

First Executive Report

Deliver the first formal Executive Risk Report to the VP and SLT, demonstrating the new framework's value with measurable outcomes.

Continuous Improvement

Refine the operating model based on feedback from the VP of Customer Excellence and cross-functional partners. Document lessons learned.

ERM Framework References

[1] COSO. "Enterprise Risk Management — Integrating with Strategy and Performance." COSO ERM Framework, 2017.

[2] IIA. "The Three Lines Model: An Update of the Three Lines of Defense." Institute of Internal Auditors, 2020.

[3] ISO. "ISO 31000:2018 — Risk Management Guidelines." International Organization for Standardization, 2018.

[4] Diligent. "ERM Strategy: 10 Best Practices for Governance Leaders." Diligent Resources, 2025.