At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This role allows you to be at the forefront of technological advancement while mentoring the next generation of engineers and shaping the future of AI solutions. Responsibilities - Mentor junior engineers and foster their growth - Maintain security and scalability of AI-powered solutions - Collaborate with cross-functional teams to achieve project goals - Stay at the forefront of technological advancements in AI What You Must Have - Bachelor's Degree - At least 6 years of experience in software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college What Sets You Apart - Master's Degree preferred - Demonstrating proven experience leading cloud and platform engineering teams - Offering hands-on experience with Azure, DevOps, and enterprise integration patterns - Bringing systems thinking to design end-to-end platforms - Coaching and mentoring engineers to foster a culture of excellence - Managing delivery plans, dependencies, and risks effectively - Operating production platforms with a focus on reliability and security - Working with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities - Defining and enforcing automated testing strategies - Architecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategy The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote

Role Description We are committed to work-life balance by promoting this remote telework option. These job requirements allow the employee to work their entire schedule somewhere other than a Lockheed Martin designated office or job site. At Lockheed Martin RMS (Rotary & Mission Systems), we are driving a OneLM digital transformation to modernize processes and technologies. Our goal is to lead the Aerospace and Defense industry by leveraging cutting-edge digital capabilities to innovate solutions, reduce costs, and improve development efficiency. The candidate will perform Systems Engineering effort for the integration of cutting edge digital solutions across the organization’s engineering and operations domains. This role will support cross functional teams, support adoption of modern architectures, and help ensure that system of systems meet 1LMX RMS requirements and standards. Responsibilities - Requirements Elicitation & Analysis - Capture functional needs, constraints, and performance criteria; perform gap analysis versus existing 1LMX RMS capabilities. - Functional Specification Development - Author detailed functional specifications, use cases, and user stories that align with enterprise architecture standards. Ensure traceability from high level business objectives through to detailed functional requirements and verification criteria. - 1LMX RMS Integration & Configuration - Configure and tailor 1LMX RMS to support captured functional requirements, including taxonomy, workflow, and change control processes. - Verification & Validation - Develop testable verification criteria; work with verification engineers to confirm that functional specifications are met. - Documentation & Communication - Support maintaining a centralized repository of requirement artifacts, version histories, and rationale documents. Produce regular status reports, traceability matrices, and risk assessments for senior leadership. - Continuous Improvement - Identify opportunities to streamline the requirements lifecycle, propose process improvements, and adopt best practices (e.g., ISO/IEC 15288, SYSML). Qualifications - Proven experience working with requirements management tools (1LMX, DOORS Next Gen, LeanIX, etc.). - Strong knowledge of requirements engineering processes. - Proficiency in modeling techniques (UML, SysML, DODAF). - Familiarity with enterprise architecture frameworks and Cameo Models. Requirements - This role requires the ability to acquire and maintain a DoD Secret clearance. - Travel: Up to 25% CONUS travel as required. Desired Skills - Analytical mindset with strong problem solving abilities. - Ability to work autonomously and as part of cross functional teams. - Experience in aerospace, defense, or high technology environments. - Agile/SCRUM familiarity for iterative requirement development. Benefits - Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability. - 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave. - Paid time off, and Holidays.

• Define and execute software engineering strategy aligned with Omdia's business objectives • Lead AI initiatives to enhance research delivery, data analytics, and customer-facing capabilities • Drive continuous improvement in customer experience across all platforms • Strengthen platform security, integration, and technical infrastructure • Oversee development of the Omdia Customer Platform, APIs, data visualization tools, and survey platform • Manage AWS cloud infrastructure and Sitecore CMS, optimizing for performance and cost-efficiency • Build and mentor a high-performing engineering team, managing both internal and outsourced resources • Manage engineering budget, resource allocation, and vendor relationships to maximize ROI • Establish and track effective KPIs to measure team performance, platform reliability, delivery velocity, and customer satisfaction • Implement performance management processes including goal setting, regular feedback, and development planning • Partner closely with Research Operations and Digital Product teams across global locations • Implement Agile methodologies, DevOps practices, and engineering best practices • Balance technical debt management with new feature development • Collaborate effectively across time zones and cultures within Informa's global organization

Role Description Ninety is at an inflection point: the product is evolving quickly, and the business is ready to level up how we take new capabilities to market. We’re opening a new Head of Engineering role for someone who can build repeatable systems and raise the bar for what “great” software engineering looks like in a lean, high-impact environment. - Define and execute the engineering strategy aligned to company objectives, product roadmap, and long-term platform scalability. - Lead the evolution of the company’s technology organization as it adapts to an increasingly AI-enabled product and operational future. - Build and scale a high-performing engineering organization. - Establish strong engineering operating principles grounded in agile development, iterative delivery, rapid feedback loops, and continuous improvement. - Drive execution excellence across planning, prioritization, delivery predictability, operational reliability, and technical quality. - Collaborate deeply with Product, Design, Stakeholders, and Executive Leadership to translate ambiguous business opportunities into executable strategies. - Create a culture that balances speed, innovation, customer impact, and long-term technical sustainability. - Own architecture evolution and technical decision-making, ensuring systems remain scalable, secure, resilient, and adaptable. - Lead adoption of AI technologies across both the product portfolio and internal engineering workflows where they create measurable leverage. - Develop engineering managers and technical leaders capable of scaling with the organization. - Establish metrics, processes, and organizational mechanisms that improve visibility, accountability, and execution consistency. - Ensure engineering practices support enterprise-grade security, compliance, reliability, and customer trust expectations. - Drive recruiting and organizational design strategies to attract and retain exceptional engineering talent. - Foster strong cross-functional collaboration while helping the organization operate effectively through rapid change and ambiguity. Qualifications - Proven experience leading and scaling engineering organizations within high-growth SaaS environments, ideally through Series B/C stages. - Demonstrated ability to lead organizations through periods of rapid growth, ambiguity, and organizational evolution. - Strong technical background with the ability to engage deeply in architecture, systems design, platform strategy, and engineering tradeoff discussions. - Experience incorporating AI/ML capabilities into products, platforms, workflows, or engineering operations. - Deep understanding of modern software development practices, cloud-native architectures, DevOps, CI/CD, observability, and platform reliability. - Strong commitment to agile development principles, iterative/incremental execution, continuous delivery, and customer-centered product development. - Demonstrated success building high-performing engineering cultures that emphasize ownership, accountability, collaboration, and learning. - Experience hiring, mentoring, and developing engineering managers and senior technical leaders. - Ability to create structure and drive execution in environments where requirements and priorities may evolve rapidly. - Strong communication and executive alignment skills, including the ability to translate complex technical topics into business outcomes. - Experience balancing short-term execution needs with long-term architectural and organizational health. - Strong product and business orientation with a focus on measurable customer and company impact. - Experience establishing engineering processes, metrics, and operational mechanisms appropriate for scaling organizations. - High degree of adaptability, pragmatism, and comfort operating in fast-moving environments with incomplete information. - Bachelor’s degree in Computer Science, Engineering, or related field preferred; equivalent practical experience welcomed. Requirements - This won’t be a fit if you prefer highly structured environments with fully defined requirements, stable priorities, and long planning horizons before execution begins. - Separating engineering from product, business, or customer outcomes rather than operating as a deeply cross-functional partner. - Optimizing primarily for process, hierarchy, or organizational control over speed, adaptability, and pragmatic execution. - Maintaining legacy approaches without actively exploring how AI can transform products, engineering workflows, and organizational leverage. - Narrowly managing existing teams instead of building, evolving, and scaling organizations through ambiguity and change. - Perfection-driven delivery models that delay customer feedback rather than embracing iterative development, experimentation, and continuous improvement.