Jobs at Ford Motor Private Limited

The Finance Transformation & Process Architect is a strategic hybrid role designed for a professional who 'connects the dots' between complex financial operations and cutting-edge technology. You will be responsible for re-engineering core finance processes—specifically in Budgeting, Forecasting, and Budgetary Control—and translating those needs into a robust digital architecture. You are not just a functional expert or a developer; you are the bridge that ensures technology serves financial accuracy and operational efficiency. Key Roles & Responsibilities: • Project Orchestration: Lead cross-functional sprints between Finance and IT/GDIA to ensure digital tools are delivered on time and meet functional requirements. • Process Architecture & Value Stream Mapping: Lead the end-to-end mapping of finance workstreams (Planning, Forecasting, Month-end Close, and Budget Control). Utilize Value Stream Mapping (VSM) and process flow charting to identify bottlenecks and 'friction points,' designing future state architectures that eliminate manual intervention. • The Strategic Bridge: Act as the primary translator between Finance stakeholders and IT/Data Engineering teams. Connect the dots between business requirements and technical execution, ensuring that automated solutions solve real-world financial pain points. • Systems & Data Integration: Optimize and integrate finance workflows within SAP S/4HANA and Oracle Essbase environments. Ensure that data flows seamlessly between ERP systems, process workflows, and reporting layers. • Solution Design & Automation: Develop and prototype efficiency tools like Data Form, the MS Power Platform (Power Automate/Apps), or Visualization tools (e.g. Power BI). Identify the 'right tool for the job' to improve process velocity and data integrity. • Agentic AI & Innovation: Identify use cases for Agentic AI and LLMs to handle cognitive finance tasks, such as automated variance analysis, complex reconciliations, and predictive forecasting. • Data Strategy & Lineage: Oversee the migration of finance data into Data Lakes/EDP. Ensure a 'single source of truth' by maintaining strict data lineage and integrity across all automated reporting outputs. • Digital Capability & Citizen Development: Serve as a Lead Citizen Developer and 'AI Evangelist' for the Finance team. Design and deliver hands-on training sessions to upskill colleagues on 'last-mile' technologies, including Generative AI/LLM prompt engineering, Power Platform (Power Automate/Apps), and data visualization. Your goal is to foster a culture of technical curiosity and empower the broader finance organization to build their own automated micro-solutions. Desired Technical Skills & Experience: • Core Finance Expertise: Deep functional knowledge of FP&A cycles, Budgeting, Forecasting, and Budgetary Control. Must understand the accounting logic behind complex accruals and financial modeling. • Systems Proficiency: Hands-on experience with SAP S/4HANA and Oracle Essbase. • Data Transformation & Analytics: Expert level in tools like Alteryx for ETL and data blending. Professional-grade skills in Power BI or similar tools. • Automation & Low-Code: Advanced proficiency in the MS Power Platform (Power Automate, Power Apps). • Technical Literacy: Ability to write and understand SQL for data extraction, Python for advanced modeling, and a basic understanding of APIs for system integration. • Methodology: Proven experience in Lean Six Sigma tools, specifically VSM and bottleneck analysis. The ideal candidate will possess a unique blend of financial acumen and technical literacy. We are looking for 5+ years of total professional experience, demonstrated through one of the following pathways: 1: Finance-First Professional • Education: • Bachelor’s degree in Finance, Accounting, or Economics, paired with a Master’s or certification in Business Analytics/Data Science. • OR a Qualified CA, CMA, or MBA (Finance) with certifications in digital tools (e.g., MS Power Platform, Alteryx, or Power Query). • Experience: 5+ years in Finance, with at least 3+ years specifically dedicated to Finance Transformation, Systems Implementation, or Process Re-engineering. 2: Technical-First Professional • Education: • B.E. / B.Tech. in Computer Science, Data Analytics, or a related technical field. • Experience: 5+ years of total professional experience, including 2–3 years of proven functional experience working directly within Finance operations or processes (e.g., Forecasting, Budgeting, or Financial Reporting). Demonstrated Success: A portfolio of completed projects where you successfully bridged the gap between a manual finance process and a fully automated, scalable digital solution.

Ford’s Cyber Security Data Protection team is the frontline defense for our global digital transformation. We manage a diverse portfolio of programs designed to enable a securely connected business while safeguarding the company’s most critical data assets. As a DLP Senior Development Analyst, you will serve as a subject matter expert for our Microsoft Purview and Sentinel ecosystem. You will be responsible for architecting and optimizing our Data Loss Prevention framework, ensuring a robust security posture that proactively mitigates risk and prevents the unauthorized disclosure of sensitive information. • Architect & Engineer DLP Solutions: Lead the design and engineering of complex Data Loss Prevention projects, utilizing Python, Java, and Alteryx to build automated workflows and data-driven security controls. • API Strategy & Development: Drive the API roadmap for the Data Protection service; architecting, developing, and managing RESTful APIs to integrate security tools and streamline internal analytics. • Full-Stack Security Engineering: Develop and maintain software within a GitHub-based environment, ensuring robust version control, documentation, and high-quality deployment of security-focused code. • Advanced Data Analytics: Build and optimize Alteryx workflows and data models to increase reporting speed, providing deep insights into data movement and potential exfiltration patterns. • Software Lifecycle Management: Oversee the end-to-end testing, deployment, and integration of working software and automated workflows, ensuring seamless performance across the security ecosystem. • Microsoft Purview Administration: Lead the technical administration of Microsoft Purview, including the architecture and implementation of advanced DLP policies tailored to Ford’s global requirements. • Stakeholder Architecture Reviews: Formalize and present complex technical architectures to stakeholders, securing approvals and ensuring alignment with Ford’s broader cybersecurity standards. • Strategic Business Liaison: Translate complex business requirements into technical deliverables, negotiating feasibility and resource allocation with key stakeholders and business customers. • Continuous Security Improvement: Define and implement process and technology enhancements to prevent the unauthorized disclosure, modification, or removal of Ford’s most sensitive data. • Policy Tuning & Optimization: Aggregate and analyze global DLP telemetry to tune existing policies, reduce false positives, and determine where additional technical controls are required. • Advanced Threat Analysis: Perform high-level triage and analysis of DLP alerts, managing the remediation of complex incidents and escalating critical risks to leadership. • Global Metric Reporting: Design and deliver comprehensive data protection metrics to provide leadership with visibility into the global data loss risk posture. • Technical Leadership: Maintain a high degree of technical curiosity, proactively learning and implementing emerging technologies to solve Ford’s most challenging data protection problems. • Foundational Education: Bachelor’s Degree in Computer Science, Cybersecurity, Information Technology, or a related STEM field. • Core Professional Experience: • 3+ years in a Cybersecurity role, specifically focused on Data Loss Prevention (DLP), Data Governance, or Security Engineering. • 3+ years of hands-on experience architecting and managing Microsoft Purview (MIP) and Microsoft Sentinel in a large-scale enterprise environment. • Advanced Software Engineering: Proven expertise in Software Engineering Architecture, Lifecycle (SDLC), and Data Management within a GitHub-based environment. • Full-Stack Development & Automation: Proficiency in Python or Java development with a focus on building automated security workflows and technical solutions. • API Architecture & Management: Extensive experience designing, implementing, and managing RESTful APIs to enable system integration and advanced data analytics. • Data Protection Platforms: Deep technical expertise in the administration and architecture of Microsoft Purview, Sentinel, and Defender for Endpoint, including the use of KQL (Kusto Query Language). • Automated Data Analytics: Expert-level experience with Alteryx workflow development and data modeling to process global DLP telemetry and increase reporting speed. • DLP Policy Engineering: Experience in Policy Tuning and Optimization, including the creation of advanced DLP policies and the analysis of data loss patterns to determine additional controls. • Regulatory & Compliance Mastery: Demonstrated experience implementing security controls within a highly regulated environment (e.g., Banking, Finance, or Government), with a deep understanding of GLBA and global privacy compliance. • Technical Solution Design: Ability to perform Architecture Knowledge mapping and translate complex business requirements into high-level technical deliverables. • Cloud & Emerging Tech: Hands-on experience with GCP (Google Cloud Platform) and familiarity with developing or implementing machine learning algorithms to enhance data classification. • Strategic Leadership: Strong Software Engineering Leadership skills with the ability to train, advise, and mentor team members on technical best practices. • Stakeholder Management: Excellent written and oral communication skills, with a proven ability to present complex architectures to management and collaborate with global stakeholders. • Analytical Problem Solving: Strong decision-making skills with a process-driven mindset and a 'find-a-way' attitude toward solving challenging technical assignments. • Professional Toolset: Proficiency in Data Visualization tools (e.g., Power BI, Tableau) and the Microsoft Office 365 suite for advanced data reporting.

The Finance Transformation & Process Architect is a strategic hybrid role designed for a professional who 'connects the dots' between complex financial operations and cutting-edge technology. You will be responsible for re-engineering core finance processes—specifically in Budgeting, Forecasting, and Budgetary Control—and translating those needs into a robust digital architecture. You are not just a functional expert or a developer; you are the bridge that ensures technology serves financial accuracy and operational efficiency. Key Roles & Responsibilities: • Project Orchestration: Lead cross-functional sprints between Finance and IT/GDIA to ensure digital tools are delivered on time and meet functional requirements. • Process Architecture & Value Stream Mapping: Lead the end-to-end mapping of finance workstreams (Planning, Forecasting, Month-end Close, and Budget Control). Utilize Value Stream Mapping (VSM) and process flow charting to identify bottlenecks and 'friction points,' designing future state architectures that eliminate manual intervention. • The Strategic Bridge: Act as the primary translator between Finance stakeholders and IT/Data Engineering teams. Connect the dots between business requirements and technical execution, ensuring that automated solutions solve real-world financial pain points. • Systems & Data Integration: Optimize and integrate finance workflows within SAP S/4HANA and Oracle Essbase environments. Ensure that data flows seamlessly between ERP systems, process workflows, and reporting layers. • Solution Design & Automation: Develop and prototype efficiency tools like Data Form, the MS Power Platform (Power Automate/Apps), or Visualization tools (e.g. Power BI). Identify the 'right tool for the job' to improve process velocity and data integrity. • Agentic AI & Innovation: Identify use cases for Agentic AI and LLMs to handle cognitive finance tasks, such as automated variance analysis, complex reconciliations, and predictive forecasting. • Data Strategy & Lineage: Oversee the migration of finance data into Data Lakes/EDP. Ensure a 'single source of truth' by maintaining strict data lineage and integrity across all automated reporting outputs. • Digital Capability & Citizen Development: Serve as a Lead Citizen Developer and 'AI Evangelist' for the Finance team. Design and deliver hands-on training sessions to upskill colleagues on 'last-mile' technologies, including Generative AI/LLM prompt engineering, Power Platform (Power Automate/Apps), and data visualization. Your goal is to foster a culture of technical curiosity and empower the broader finance organization to build their own automated micro-solutions. Desired Technical Skills & Experience: • Core Finance Expertise: Deep functional knowledge of FP&A cycles, Budgeting, Forecasting, and Budgetary Control. Must understand the accounting logic behind complex accruals and financial modeling. • Systems Proficiency: Hands-on experience with SAP S/4HANA and Oracle Essbase. • Data Transformation & Analytics: Expert level in tools like Alteryx for ETL and data blending. Professional-grade skills in Power BI or similar tools. • Automation & Low-Code: Advanced proficiency in the MS Power Platform (Power Automate, Power Apps). • Technical Literacy: Ability to write and understand SQL for data extraction, Python for advanced modeling, and a basic understanding of APIs for system integration. • Methodology: Proven experience in Lean Six Sigma tools, specifically VSM and bottleneck analysis. The ideal candidate will possess a unique blend of financial acumen and technical literacy. We are looking for 5+ years of total professional experience, demonstrated through one of the following pathways: 1: Finance-First Professional • Education: • Bachelor’s degree in Finance, Accounting, or Economics, paired with a Master’s or certification in Business Analytics/Data Science. • OR a Qualified CA, CMA, or MBA (Finance) with certifications in digital tools (e.g., MS Power Platform, Alteryx, or Power Query). • Experience: 5+ years in Finance, with at least 3+ years specifically dedicated to Finance Transformation, Systems Implementation, or Process Re-engineering. 2: Technical-First Professional • Education: • B.E. / B.Tech. in Computer Science, Data Analytics, or a related technical field. • Experience: 5+ years of total professional experience, including 2–3 years of proven functional experience working directly within Finance operations or processes (e.g., Forecasting, Budgeting, or Financial Reporting). Demonstrated Success: A portfolio of completed projects where you successfully bridged the gap between a manual finance process and a fully automated, scalable digital solution.

Ford’s Cyber Security Data Protection team is the frontline defense for our global digital transformation. We manage a diverse portfolio of programs designed to enable a securely connected business while safeguarding the company’s most critical data assets. As a DLP Senior Development Analyst, you will serve as a subject matter expert for our Microsoft Purview and Sentinel ecosystem. You will be responsible for architecting and optimizing our Data Loss Prevention framework, ensuring a robust security posture that proactively mitigates risk and prevents the unauthorized disclosure of sensitive information. • Architect & Engineer DLP Solutions: Lead the design and engineering of complex Data Loss Prevention projects, utilizing Python, Java, and Alteryx to build automated workflows and data-driven security controls. • API Strategy & Development: Drive the API roadmap for the Data Protection service; architecting, developing, and managing RESTful APIs to integrate security tools and streamline internal analytics. • Full-Stack Security Engineering: Develop and maintain software within a GitHub-based environment, ensuring robust version control, documentation, and high-quality deployment of security-focused code. • Advanced Data Analytics: Build and optimize Alteryx workflows and data models to increase reporting speed, providing deep insights into data movement and potential exfiltration patterns. • Software Lifecycle Management: Oversee the end-to-end testing, deployment, and integration of working software and automated workflows, ensuring seamless performance across the security ecosystem. • Microsoft Purview Administration: Lead the technical administration of Microsoft Purview, including the architecture and implementation of advanced DLP policies tailored to Ford’s global requirements. • Stakeholder Architecture Reviews: Formalize and present complex technical architectures to stakeholders, securing approvals and ensuring alignment with Ford’s broader cybersecurity standards. • Strategic Business Liaison: Translate complex business requirements into technical deliverables, negotiating feasibility and resource allocation with key stakeholders and business customers. • Continuous Security Improvement: Define and implement process and technology enhancements to prevent the unauthorized disclosure, modification, or removal of Ford’s most sensitive data. • Policy Tuning & Optimization: Aggregate and analyze global DLP telemetry to tune existing policies, reduce false positives, and determine where additional technical controls are required. • Advanced Threat Analysis: Perform high-level triage and analysis of DLP alerts, managing the remediation of complex incidents and escalating critical risks to leadership. • Global Metric Reporting: Design and deliver comprehensive data protection metrics to provide leadership with visibility into the global data loss risk posture. • Technical Leadership: Maintain a high degree of technical curiosity, proactively learning and implementing emerging technologies to solve Ford’s most challenging data protection problems. • Foundational Education: Bachelor’s Degree in Computer Science, Cybersecurity, Information Technology, or a related STEM field. • Core Professional Experience: • 3+ years in a Cybersecurity role, specifically focused on Data Loss Prevention (DLP), Data Governance, or Security Engineering. • 3+ years of hands-on experience architecting and managing Microsoft Purview (MIP) and Microsoft Sentinel in a large-scale enterprise environment. • Advanced Software Engineering: Proven expertise in Software Engineering Architecture, Lifecycle (SDLC), and Data Management within a GitHub-based environment. • Full-Stack Development & Automation: Proficiency in Python or Java development with a focus on building automated security workflows and technical solutions. • API Architecture & Management: Extensive experience designing, implementing, and managing RESTful APIs to enable system integration and advanced data analytics. • Data Protection Platforms: Deep technical expertise in the administration and architecture of Microsoft Purview, Sentinel, and Defender for Endpoint, including the use of KQL (Kusto Query Language). • Automated Data Analytics: Expert-level experience with Alteryx workflow development and data modeling to process global DLP telemetry and increase reporting speed. • DLP Policy Engineering: Experience in Policy Tuning and Optimization, including the creation of advanced DLP policies and the analysis of data loss patterns to determine additional controls. • Regulatory & Compliance Mastery: Demonstrated experience implementing security controls within a highly regulated environment (e.g., Banking, Finance, or Government), with a deep understanding of GLBA and global privacy compliance. • Technical Solution Design: Ability to perform Architecture Knowledge mapping and translate complex business requirements into high-level technical deliverables. • Cloud & Emerging Tech: Hands-on experience with GCP (Google Cloud Platform) and familiarity with developing or implementing machine learning algorithms to enhance data classification. • Strategic Leadership: Strong Software Engineering Leadership skills with the ability to train, advise, and mentor team members on technical best practices. • Stakeholder Management: Excellent written and oral communication skills, with a proven ability to present complex architectures to management and collaborate with global stakeholders. • Analytical Problem Solving: Strong decision-making skills with a process-driven mindset and a 'find-a-way' attitude toward solving challenging technical assignments. • Professional Toolset: Proficiency in Data Visualization tools (e.g., Power BI, Tableau) and the Microsoft Office 365 suite for advanced data reporting.

Ford’s Cyber Security Data Protection team is the frontline defense for our global digital transformation. We manage a diverse portfolio of programs designed to enable a securely connected business while safeguarding the company’s most critical data assets. As a DLP Senior Development Analyst, you will serve as a subject matter expert for our Microsoft Purview and Sentinel ecosystem. You will be responsible for architecting and optimizing our Data Loss Prevention framework, ensuring a robust security posture that proactively mitigates risk and prevents the unauthorized disclosure of sensitive information. • Architect & Engineer DLP Solutions: Lead the design and engineering of complex Data Loss Prevention projects, utilizing Python, Java, and Alteryx to build automated workflows and data-driven security controls. • API Strategy & Development: Drive the API roadmap for the Data Protection service; architecting, developing, and managing RESTful APIs to integrate security tools and streamline internal analytics. • Full-Stack Security Engineering: Develop and maintain software within a GitHub-based environment, ensuring robust version control, documentation, and high-quality deployment of security-focused code. • Advanced Data Analytics: Build and optimize Alteryx workflows and data models to increase reporting speed, providing deep insights into data movement and potential exfiltration patterns. • Software Lifecycle Management: Oversee the end-to-end testing, deployment, and integration of working software and automated workflows, ensuring seamless performance across the security ecosystem. • Microsoft Purview Administration: Lead the technical administration of Microsoft Purview, including the architecture and implementation of advanced DLP policies tailored to Ford’s global requirements. • Stakeholder Architecture Reviews: Formalize and present complex technical architectures to stakeholders, securing approvals and ensuring alignment with Ford’s broader cybersecurity standards. • Strategic Business Liaison: Translate complex business requirements into technical deliverables, negotiating feasibility and resource allocation with key stakeholders and business customers. • Continuous Security Improvement: Define and implement process and technology enhancements to prevent the unauthorized disclosure, modification, or removal of Ford’s most sensitive data. • Policy Tuning & Optimization: Aggregate and analyze global DLP telemetry to tune existing policies, reduce false positives, and determine where additional technical controls are required. • Advanced Threat Analysis: Perform high-level triage and analysis of DLP alerts, managing the remediation of complex incidents and escalating critical risks to leadership. • Global Metric Reporting: Design and deliver comprehensive data protection metrics to provide leadership with visibility into the global data loss risk posture. • Technical Leadership: Maintain a high degree of technical curiosity, proactively learning and implementing emerging technologies to solve Ford’s most challenging data protection problems. • Foundational Education: Bachelor’s Degree in Computer Science, Cybersecurity, Information Technology, or a related STEM field. • Core Professional Experience: • 3+ years in a Cybersecurity role, specifically focused on Data Loss Prevention (DLP), Data Governance, or Security Engineering. • 3+ years of hands-on experience architecting and managing Microsoft Purview (MIP) and Microsoft Sentinel in a large-scale enterprise environment. • Advanced Software Engineering: Proven expertise in Software Engineering Architecture, Lifecycle (SDLC), and Data Management within a GitHub-based environment. • Full-Stack Development & Automation: Proficiency in Python or Java development with a focus on building automated security workflows and technical solutions. • API Architecture & Management: Extensive experience designing, implementing, and managing RESTful APIs to enable system integration and advanced data analytics. • Data Protection Platforms: Deep technical expertise in the administration and architecture of Microsoft Purview, Sentinel, and Defender for Endpoint, including the use of KQL (Kusto Query Language). • Automated Data Analytics: Expert-level experience with Alteryx workflow development and data modeling to process global DLP telemetry and increase reporting speed. • DLP Policy Engineering: Experience in Policy Tuning and Optimization, including the creation of advanced DLP policies and the analysis of data loss patterns to determine additional controls. • Regulatory & Compliance Mastery: Demonstrated experience implementing security controls within a highly regulated environment (e.g., Banking, Finance, or Government), with a deep understanding of GLBA and global privacy compliance. • Technical Solution Design: Ability to perform Architecture Knowledge mapping and translate complex business requirements into high-level technical deliverables. • Cloud & Emerging Tech: Hands-on experience with GCP (Google Cloud Platform) and familiarity with developing or implementing machine learning algorithms to enhance data classification. • Strategic Leadership: Strong Software Engineering Leadership skills with the ability to train, advise, and mentor team members on technical best practices. • Stakeholder Management: Excellent written and oral communication skills, with a proven ability to present complex architectures to management and collaborate with global stakeholders. • Analytical Problem Solving: Strong decision-making skills with a process-driven mindset and a 'find-a-way' attitude toward solving challenging technical assignments. • Professional Toolset: Proficiency in Data Visualization tools (e.g., Power BI, Tableau) and the Microsoft Office 365 suite for advanced data reporting.

Ford’s Cyber Security Data Protection team is the frontline defense for our global digital transformation. We manage a diverse portfolio of programs designed to enable a securely connected business while safeguarding the company’s most critical data assets. As a DLP Senior Development Analyst, you will serve as a subject matter expert for our Microsoft Purview and Sentinel ecosystem. You will be responsible for architecting and optimizing our Data Loss Prevention framework, ensuring a robust security posture that proactively mitigates risk and prevents the unauthorized disclosure of sensitive information. • Architect & Engineer DLP Solutions: Lead the design and engineering of complex Data Loss Prevention projects, utilizing Python, Java, and Alteryx to build automated workflows and data-driven security controls. • API Strategy & Development: Drive the API roadmap for the Data Protection service; architecting, developing, and managing RESTful APIs to integrate security tools and streamline internal analytics. • Full-Stack Security Engineering: Develop and maintain software within a GitHub-based environment, ensuring robust version control, documentation, and high-quality deployment of security-focused code. • Advanced Data Analytics: Build and optimize Alteryx workflows and data models to increase reporting speed, providing deep insights into data movement and potential exfiltration patterns. • Software Lifecycle Management: Oversee the end-to-end testing, deployment, and integration of working software and automated workflows, ensuring seamless performance across the security ecosystem. • Microsoft Purview Administration: Lead the technical administration of Microsoft Purview, including the architecture and implementation of advanced DLP policies tailored to Ford’s global requirements. • Stakeholder Architecture Reviews: Formalize and present complex technical architectures to stakeholders, securing approvals and ensuring alignment with Ford’s broader cybersecurity standards. • Strategic Business Liaison: Translate complex business requirements into technical deliverables, negotiating feasibility and resource allocation with key stakeholders and business customers. • Continuous Security Improvement: Define and implement process and technology enhancements to prevent the unauthorized disclosure, modification, or removal of Ford’s most sensitive data. • Policy Tuning & Optimization: Aggregate and analyze global DLP telemetry to tune existing policies, reduce false positives, and determine where additional technical controls are required. • Advanced Threat Analysis: Perform high-level triage and analysis of DLP alerts, managing the remediation of complex incidents and escalating critical risks to leadership. • Global Metric Reporting: Design and deliver comprehensive data protection metrics to provide leadership with visibility into the global data loss risk posture. • Technical Leadership: Maintain a high degree of technical curiosity, proactively learning and implementing emerging technologies to solve Ford’s most challenging data protection problems. • Foundational Education: Bachelor’s Degree in Computer Science, Cybersecurity, Information Technology, or a related STEM field. • Core Professional Experience: • 3+ years in a Cybersecurity role, specifically focused on Data Loss Prevention (DLP), Data Governance, or Security Engineering. • 3+ years of hands-on experience architecting and managing Microsoft Purview (MIP) and Microsoft Sentinel in a large-scale enterprise environment. • Advanced Software Engineering: Proven expertise in Software Engineering Architecture, Lifecycle (SDLC), and Data Management within a GitHub-based environment. • Full-Stack Development & Automation: Proficiency in Python or Java development with a focus on building automated security workflows and technical solutions. • API Architecture & Management: Extensive experience designing, implementing, and managing RESTful APIs to enable system integration and advanced data analytics. • Data Protection Platforms: Deep technical expertise in the administration and architecture of Microsoft Purview, Sentinel, and Defender for Endpoint, including the use of KQL (Kusto Query Language). • Automated Data Analytics: Expert-level experience with Alteryx workflow development and data modeling to process global DLP telemetry and increase reporting speed. • DLP Policy Engineering: Experience in Policy Tuning and Optimization, including the creation of advanced DLP policies and the analysis of data loss patterns to determine additional controls. • Regulatory & Compliance Mastery: Demonstrated experience implementing security controls within a highly regulated environment (e.g., Banking, Finance, or Government), with a deep understanding of GLBA and global privacy compliance. • Technical Solution Design: Ability to perform Architecture Knowledge mapping and translate complex business requirements into high-level technical deliverables. • Cloud & Emerging Tech: Hands-on experience with GCP (Google Cloud Platform) and familiarity with developing or implementing machine learning algorithms to enhance data classification. • Strategic Leadership: Strong Software Engineering Leadership skills with the ability to train, advise, and mentor team members on technical best practices. • Stakeholder Management: Excellent written and oral communication skills, with a proven ability to present complex architectures to management and collaborate with global stakeholders. • Analytical Problem Solving: Strong decision-making skills with a process-driven mindset and a 'find-a-way' attitude toward solving challenging technical assignments. • Professional Toolset: Proficiency in Data Visualization tools (e.g., Power BI, Tableau) and the Microsoft Office 365 suite for advanced data reporting.