Senior Corporate Strategy Analyst

Lead Quality Automation Engineer

SAP TRM Consultant

SAP PPDS – Senior Lead Consultant

Forward Deployed AI Scientist

Business Analyst – SAP MM

Data & ML Architect

VP,  Senior Audit Manager

VP, IAM Assurance Leader

AVP, IAM Program Manager

Role Description: <ul><li>This role is part of the Strategy function for the Industrial Solutions Segment, will work on the most important strategic initiatives across the business and will report to strategy manager. </li><li>This position will be based in the city of Bangalore (India) and require 10-20% travel to client locations worldwide to meet colleagues, visit sites, and attend industry conferences. </li><li>India is an important business hub for client, with over 2,000 employees, including R&amp;D, Engineering, Strategy, and other functions.</li><li>This role is part of the Strategy function for the Industrial Solutions Segment, will work on the most important strategic initiatives across the business and will report to strategy manager. </li><li>This position will be based in the city of Bangalore (India) and require 10-20% travel to client locations worldwide to meet colleagues, visit sites, and attend industry conferences. India is an important business hub for client, with over 2,000 employees, including R&amp;D, Engineering, Strategy, and other functions.</li></ul> Responsibilities: <ul><li>In this critical role, the Strategy Analyst will support in developing strategies through key responsibilities in four major areas</li><li>Help to develop strategies that drive above-market organic and inorganic growth</li><li>Gather real-time input as the external environment evolves (e.g., technology, customer needs, regulations, competitors, etc.)</li><li>Help identify new growth platforms, growth opportunities through the identification of attractive market spaces, determining what it takes to win, assessing competitive position and business models, and then helping the organizing to align on the strategic direction and execution plan</li><li>Drive change – helping to implement projects to execute on strategic objectives</li></ul> Additional responsibilities include <ul><li>Collaborate with Corporate Strategy, and business units’ strategy teams to solve complex business problems</li><li>Translate business requests into well-defined problems</li><li>Develop strategies and approaches to fulfil complex project assignments in creative and meaningful ways</li><li>Perform market and competition analyses to generate impact driven insights at global and regional levels</li><li>Identify key trends across markets, industries, and competitors that affect our businesses</li><li>Create analytical models to address key business questions and translate outputs into clear findings and recommendations</li><li>Create compelling storylines to support leadership fact-based decision making</li><li>Support the successful development and deployment of the annual strategy development process</li><li>Track execution of the long-term strategy through a select set of strategy-to-execution KPIs, synthesize implications to the strategic plan and recommend potential course corrections</li></ul> Requirements: <ul><li>Bachelor’s degree, with strong quantitative skills</li><li>An MBA or a Masters degree are desirable but not required.</li><li>Experience in market research, quantitative analysis, management consulting or corporate strategy, as well are a plus</li><li>Experience creating presentations and communicating ideas and plans</li><li>Excellent proficiency in data analytics</li><li>Track record of demonstrated leadership potential through academic, work, and/or community activities</li><li>Strong sense of tact, confidentiality, and maturity</li></ul>

Role Description: <ul><li>We are seeking an experienced Lead Quality Automation Engineer to join our growing Quality Engineering practice in Leeds.&nbsp;</li><li>This role is suited to a highly technical Quality Engineer who enjoys solving complex engineering challenges while working directly with clients across multiple industries.&nbsp;</li><li>You will play a key role in designing automation solutions, driving engineering best practices, mentoring team members, and helping organisations modernise their quality engineering capabilities.&nbsp;</li><li>As a Lead Quality Automation Engineer, you will remain hands-on with automation development while providing technical leadership across delivery teams.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Design, develop and maintain scalable automated testing frameworks for enterprise applications.&nbsp;&nbsp;</li><li>Deliver high-quality automation solutions using modern testing tools and object-oriented programming languages.&nbsp;&nbsp;</li><li>Work collaboratively with software engineers, architects, product owners, and business stakeholders throughout the software development lifecycle.&nbsp;&nbsp;</li><li>Champion Shift-Left Quality Engineering practices by embedding testing early in the development process.&nbsp;&nbsp;</li><li>Analyse application source code to identify defects, improve test coverage, and support overall software quality.&nbsp;&nbsp;</li><li>Contribute to Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable efficient automated testing.&nbsp;&nbsp;</li><li>Apply AI-assisted engineering tools and Generative AI technologies to improve testing efficiency and engineering productivity.&nbsp;&nbsp;</li><li>Provide technical leadership, mentoring, and guidance to junior engineers and project teams.&nbsp;&nbsp;</li><li>Support clients in adopting modern Quality Engineering practices and continuous improvement initiatives.&nbsp;&nbsp;</li><li>Participate in technical discussions, solution design, and engineering governance activities.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>Proven experience in Quality Engineering and Test Automation within enterprise environments.&nbsp;&nbsp;</li><li>Hands-on experience developing and maintaining automation frameworks.&nbsp;&nbsp;</li><li>Strong programming experience in one or more object-oriented languages such as Java, Python, C#, JavaScript, or TypeScript.&nbsp;&nbsp;</li><li>Experience with modern automation frameworks such as Playwright, Selenium, or equivalent.&nbsp;&nbsp;</li><li>Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.&nbsp;&nbsp;</li><li>Good understanding of Continuous Integration and Continuous Delivery (CI/CD) principles.&nbsp;&nbsp;</li><li>Experience working with AI productivity tools such as GitHub Copilot, Claude, or similar technologies.&nbsp;&nbsp;</li><li>Strong understanding of software development lifecycle (SDLC) and Shift-Left Testing methodologies.&nbsp;&nbsp;</li><li>Excellent communication and stakeholder management skills with the ability to work directly with clients.&nbsp;&nbsp;</li><li>Demonstrated ability to work independently while managing multiple priorities.&nbsp;&nbsp;</li></ul> Preferred Qualifications&nbsp; <ul><li>Commercial experience implementing Generative AI solutions within Quality Engineering.&nbsp;&nbsp;</li><li>Experience working within consulting or professional services organisations.&nbsp;&nbsp;</li><li>Knowledge of Agentic AI concepts.&nbsp;&nbsp;</li><li>Familiarity with LangChain and LangGraph.&nbsp;&nbsp;</li><li>Experience mentoring engineers and providing technical leadership.&nbsp;&nbsp;</li><li>Exposure to both public and private sector projects.&nbsp;&nbsp;</li></ul> Personal Attributes&nbsp; The successful candidate will demonstrate:&nbsp; <ul><li>Strong analytical and problem-solving skills.&nbsp;&nbsp;</li><li>Excellent verbal and written communication abilities.&nbsp;&nbsp;</li><li>Adaptability in fast-paced consulting environments.&nbsp;&nbsp;</li><li>A continuous learning mindset with evidence of ongoing professional development.&nbsp;&nbsp;</li><li>A collaborative approach with the ability to influence technical and non-technical stakeholders.&nbsp;&nbsp;</li></ul> Working Arrangement&nbsp; <ul><li>This role follows a hybrid working model with an expectation of approximately two to three days per week onsite, depending on client requirements.&nbsp;</li><li>Some travel to client locations may be required.&nbsp;</li></ul> Security Requirements&nbsp; <ul><li>Candidates must either hold Security Clearance (SC) or be eligible to obtain SC Clearance in accordance with UK Government requirements.&nbsp;</li></ul>

Role Description: <ul><li>We are looking for an experienced SAP Treasury and Risk Management (TRM) Consultant with strong functional expertise in Forex, Derivatives, and Treasury Operations.</li><li>The ideal candidate will have end-to-end implementation and support experience across Front, Middle, and Back Office treasury processes and should be well-versed in managing trade finance, borrowings, deposits, and exposure management within SAP</li></ul> Responsibilities: <ul><li>Lead and support SAP TRM module implementations, enhancements, and integrations with other SAP and non-SAP systems.</li><li>Manage treasury operations, including Forex, Derivatives, Borrowings, and Deposits.</li><li>Configure and support Front, Middle, and Back Office processes within Treasury.</li><li>Handle Exposure Management and ensure effective risk monitoring and reporting.</li><li>Collaborate with business stakeholders to analyze requirements and translate them into functional specifications.</li><li>Support Trade Finance and related treasury workflows ensuring compliance and efficiency.</li><li>Work closely with the finance, risk, and accounting teams to ensure alignment of treasury processes.</li><li>Participate in testing, documentation, and user training for implemented solutions.</li></ul> Requirements: Required Skills and Experience <ul><li>6–14 years of overall experience with at least 5+ years in SAP Treasury and Risk Management (TRM).</li><li>Strong knowledge in Forex, Derivatives, Borrowings, Deposits, and Exposure Management.</li><li>Hands-on experience in Front, Middle, and Back Office operations.</li><li>Experience in Trade Finance and Treasury process automation.</li><li>Strong understanding of integration with FI, CO, and other financial modules.</li><li>Excellent communication, analytical, and stakeholder management skills.</li><li>Ability to work in a hybrid work model across Chennai or Bangalore.</li></ul> Preferred Qualifications <ul><li>SAP Certification in Treasury and Risk Management (TRM) preferred.</li><li>Experience working with large-scale clients in manufacturing or pharma domains is an added advantage.</li></ul>

Responsibilities: <ul><li>Work on CIF integration between ECC/S/4HANA and APO/PPDS.</li><li>Coordinate with cross-functional teams including SAP MM, SD, QM, WM/EWM, and PP.</li><li>Perform system testing, SIT, UAT support, and defect resolution.</li><li>Support cutover, go-live, and hypercare activities.</li><li>Prepare functional specifications and coordinate with technical teams for developments.</li></ul> Requirements: Looking for an experienced SAP PPDS Consultant with 8 to 15 years of hands on expertise in SAP APO PPDS / SAP IBP Response &amp; Supply and S/4HANA PPDS implementations. <ul><li>The candidate should possess strong knowledge in Production Planning, Detailed Scheduling, Supply Planning, and integration with manufacturing and logistics processes</li><li>Lead and support end-to-end SAP PPDS implementations, rollouts, and support engagements.</li><li>Gather business requirements and design PPDS solutions aligned with client manufacturing and supply chain processes.</li><li>Configure and customize SAP PPDS functionalities including:</li><li>Product Heuristics.</li><li>Detailed Scheduling Planning Board.</li><li>PP/DS Optimizer.</li><li>Capacity Planning.</li><li>Setup Matrix.</li><li>Production Planning Run.</li><li>Alerts &amp; Exception Handling.</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>﻿Lead the functional analysis of MM and EWM requirements and translating them into S/4HANNA SAP solutions. </li><li> Perform configuration of SAP MM and EWM module. </li><li> Integrate MM/EWM with other SAP modules FICO, PP, AM, QM and SD as well as Ariba and IBP for seamless procurement and inventory management workflows/processes. </li><li> Troubleshoot, perform root cause analysis and resolve SAP issues at functional, configuration and technical levels. </li><li> Maintain, enhance and optimise SAP S/4HANA solutions in production </li><li> Conduct user training and create user documentation as needed. </li><li> Work with our third-party vendor on L2 and L3 support.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Information Technology, or a related field (Master’s degree is a plus).</li><li>SAP S/4HANA Certification in SAP is a strong advantage. Preferably in MM, EWM, SD, IBP, or Ariba.</li><li>Ability to work on In-App Extensibility and BTP-based extensions and understanding of integration tools (SAP CPI, APIs) and CDS Views; experience in WRICEF objects.</li><li>At least 4 years of SAP MM or EWM experience, including at least 1 full lifecycle implementations.</li><li>Proven ability to work both functionally and technically—from business process mapping to SAP configuration and testing.</li><li>Strong knowledge of MM, Inventory Management and Invoice Verification with basic knowledge of EWM is highly preferred.</li><li>Experience integrating MM/EWM with FICO, PP, AM, QM and SD modules together with IBP and Ariba is advantageous.</li><li>Ability to support one other module is highly advantageous.</li><li>Manufacturing industry experience strongly preferred.</li><li>Familiarity with SAP S/4HANA environments.</li><li>Excellent communication skills and the ability to work with cross-functional teams.</li><li>Strong analytical, problem-solving, self-driven and able to work independently to meet timelines As our Business Analyst, SAP MM, you will design and optimize processes that integrate seamlessly with manufacturing and supply chain—providing accurate, timely, and actionable procurement insights.</li><li>This role focuses heavily on requirements gathering, gap-fit analysis, testing, documentation, solution design, reporting, support and adoption.&nbsp;</li><li>It also demands end-to-end ownership: from understanding business requirements and mapping processes, to hands-on SAP configuration, testing, and deployment.</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Engage with India Leadership to understand emerging risk while providing risk themes and trends that can inform and help improve governance and control awareness.</li><li>Provide IA leadership to the Internal Audit team based in India by motivating and developing individuals to elevate quality and expand capabilities.</li><li>Assist with continuous monitoring activities related to Technology.</li><li>Supervise, manage, and motivate Audit Managers on scheduled audits.</li><li>Oversee audit planning and execution of audits including audit scoping, setting audit objectives, defining audit test steps, performing audit fieldwork and drafting audit reports.</li><li>Review and provide feedback to Audit Managers on the documentation of detailed process walkthroughs performed with management, including the identification of process risks and controls.</li><li>Review and provide feedback on detailed audit work papers performed during fieldwork, including control design and effectiveness testing.</li><li>Ensure Audit Managers have developed and documented clear audit work papers that succinctly articulate the process, risks, controls, test work performed, and conclusions reached.</li><li>Ensure effective and efficient execution of audits in conformance with professional and department quality standards.</li><li>Identify and articulate control gaps or control deficiencies.</li><li>Ensure timeliness of audit work and ensure audit is performed within budget.</li><li>Present audit results to various levels of internal audit leadership, as well as the business organization.</li><li>Contribute to risk assessment process and ongoing business/industry monitoring.</li><li>Maintain internal audit competency through ongoing professional development.</li><li>Oversee career and professional development of direct reports.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors or advanced degree in technology, business, or finance, with a minimum of 10+ years of relevant experience working within audit or a risk management function or minimum 12+ years relevant experience in lieu of a degree</li><li>Bachelor’s degree in Accounting, Auditing, or a technology-related degree with 9+ years of audit experience</li><li>5+ years in technology audit, controls, operations, and/or compliance</li><li>2+ years recent experience managing, supervising, and mentoring individuals</li><li>2+ years recent experience in leading projects and motivating teams</li><li>CISA/CISM/CPA/CIA/CRISC/CISSP certifications</li><li>Ability and flexibility to travel for business as required</li></ul>

Responsibilities: <ul><li>Create and Maintain Strategic Roadmaps: Develop and execute multi-year roadmaps to drive innovation, strengthen security posture, meet regulatory requirements, and streamline IAM operations—specifically for IAM assurance capabilities, control monitoring, and evidence automation.</li><li>Stakeholder Engagement: Build and nurture strong relationships across Security Operations, Technology Teams, Governance, Operational Risk, and Internal Audit, ensuring program alignment, audit readiness, and the ability to clearly demonstrate IAM control effectiveness to stakeholders and regulators.</li><li>Risk and Progress Management: Identify, assess, and mitigate technical and organizational risks while regularly reporting blockers, corrective actions, and program milestones to executive leadership; ensure timely remediation of control gaps and recurring defects.</li><li>Solution Design &amp; Automation: Lead and contribute to designing technical solutions for complex automation use cases, driving operational efficiency and scalability—especially automation to detect, track, and remediate IAM control defects.</li><li>Program Integrity: Ensure standards, policies, and procedures are accurately documented and officially maintained for audit and compliance requirements; recommend updates to IAM standards based on security threats, regulatory expectations, and industry trends.</li><li>Performance Tracking: Define, implement, and monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to measure program maturity and overall effectiveness, including assurance coverage, control pass rates, remediation SLAs, defect recurrence, and reporting timeliness/accuracy.</li><li>Assurance Operations Leadership: Lead assurance activities to track, validate, and remediate key logical access and authentication controls across centralized IAM services (e.g., Active Directory, Oracle LDAP, Beyond Identity) and decentralized implementations as applicable.</li><li>Assurance Reporting Platform Ownership: Manage and evolve the IAM assurance reporting platform(s) used to monitor adherence to company standards, control design, and operational effectiveness; ensure reporting is accurate, resilient, and audit-ready.</li><li>Agile Partnership with Product Owners: Partner with IAM product owners and delivery teams using Agile methodologies to prioritize and implement control improvements, balancing risk reduction with service stability and customer impact.</li><li>Control Evidence &amp; Audit Support: Ensure the organization can efficiently produce high-quality evidence for SOX, PCI, and other examinations; proactively address audit issues with root-cause correction and sustainable control improvements.</li><li>Documentation &amp; Enablement: Oversee creation, maintenance, and review of operational process documentation and end-user/training materials needed to support consistent execution of IAM assurance activities.</li><li>Problem Resolution: Independently resolve technical challenges while escalating issues with clarity when necessary.</li><li>Perform other critical duties or special projects as assigned.</li></ul> Requirements: <ul><li>BS/BA in Computer Science, Information Technology, Cybersecurity, Business Management, or equivalent, plus 10+ years IT experience, OR in lieu of a degree with 12+ years IT experience demonstrating progressive responsibility.</li><li>Minimum 5 years of experience leading multiple IAM service products (e.g., authentication, privileged access, identity governance) and driving outcomes across both centralized and distributed service models.</li><li>Minimum 5 years of experience developing and improving IAM service processes and reporting on IAM service key controls (design and operating effectiveness).</li><li>Minimum 3 years leading operations or assurance teams, including continuous monitoring, issue management, and control remediation.</li><li>At least 2 years working with Agile methodologies in roles such as Product Owner, Scrum Master, or Technical Lead.</li><li>Minimum 2 years of people management experience, leading teams of 2+ engineers or contractors.</li></ul>

Responsibilities: <ul><li>Support critical IAM programs; coordinate cross-functionally with IAM teams, Information Security teams and business IT stakeholders to manage the successful delivery of IAM projects</li><li>Deliver on suitable short-term and long-term strategic objectives</li><li>Drive and deliver program issues/risks and resolution, decision logs, communication plans and other program documentation to ensure project goals are achieved and audit traceability is in place</li><li>Engage regularly with key stakeholders on issues/risk and decisions and gather feedback on implementation of solutions impacting the organization</li><li>Establish and support program metrics and evaluation methods to assess program strengths and identify areas for improvement as well as timely reporting of program status throughout its life cycle</li><li>Prepare and present reports for program sponsors and leadership</li></ul> Requirements: <ul><li>Bachelor’s degree or equivalent experience; technology or equivalent related field preferred, with a minimum of 6 years of experience in Information Technology OR in lieu of the Bachelors degree, a minimum of 8 years of experience in Information Technology</li><li>Minimum of 5 years of experience managing large scale, cross functional project</li><li>Minimum of 5 years of experience in information technology, with a focus on information security in one or more of the following areas: IAM, security operations, security architecture, policy/governance</li><li>Minimum of 4 years of experience supporting auditors, audit inquiries and ad-hoc reporting</li><li>Solid management skills</li><li>Experience with metrics for assessing and reporting program progress, productivity and variance analysis</li><li>Strong problem solving skills</li><li>Strong oral and written communication (presentation) skills</li><li>Program Management Certified (PMP) preferred</li></ul>

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20 consulting Jobs found

Senior Corporate Strategy Analyst

Lead Quality Automation Engineer

SAP TRM Consultant

SAP PPDS – Senior Lead Consultant

Forward Deployed AI Scientist

Business Analyst – SAP MM

Data & ML Architect

VP, Senior Audit Manager

VP, IAM Assurance Leader

AVP, IAM Program Manager

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Senior Corporate Strategy Analyst

Lead Quality Automation Engineer

SAP TRM Consultant

SAP PPDS – Senior Lead Consultant

Forward Deployed AI Scientist

Business Analyst – SAP MM

Data & ML Architect

VP, Senior Audit Manager

VP, IAM Assurance Leader

AVP, IAM Program Manager

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