Title: Director, Business Intelligence & Analytics (BIA) - USA Remote Location: Washington United States Job Description: When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. We are seeking a Director, Business Intelligence & Analytics (BIA) to report to the Vice President of Revenue Operations. This is a builder's role for a leader who thinks in systems, treats analytics like a product, and is excited to operate at the frontier of AI-augmented decision-making. A leader who can define what we measure, why it matters, and how every number ties back to a clean, trusted source. Before anything else, this person establishes the foundation the rest of the business runs on: a rigorous set of KPIs, unambiguous metric definitions, sound data models, and a single version of the truth that executives and sellers alike can rely on. Get that right, and everything else compounds. Get it wrong, and no tool or technique can save it. You will own the operational backbone of Revenue Operations analytics - the metrics, the definitions, the governance, and the reporting that leadership uses to run the business. You will gather requirements across teams, reconcile conflicting numbers, close data gaps, and turn fuzzy questions into precise, durable measures. This is the work that makes everything else possible. With that foundation in place, you will modernize how we deliver it. We are migrating from a legacy Redshift/Alteryx/Tableau stack to a modern, code-driven ecosystem built on Redshift, dbt, Dagster, and Airbyte, paired with a next-generation, version-controlled BI layer. The goal is to treat analytics like a well-engineered software product - tested, documented, version-controlled, and built to scale as fast as the business does. This modernization unlocks the next chapter: an AI-augmented function where a strong operational core is amplified by emerging tooling. We believe the analytics team of the next few years will increasingly work from an AI coding cockpit - agentic developer tools like Claude Code and Codex alongside GitHub - to build, review, and ship pipelines, models, and dashboards. On top of well-defined metrics, that opens the door to conversational analytics, AI-generated narratives, and agents that surface and act on insight. The key word is on top of - AI multiplies a solid foundation; it does not substitute for one. The ideal candidate has already moved past the chat window and uses agentic coding assistants to do real engineering work, but reaches for them in service of operational rigor, not in place of it. As the subject matter expert for Business Intelligence and Analytics, you will partner closely with field and operational teams, instituting leading practices that pair analytics-engineering discipline (Git, CI/CD, testing, semantic layers) with self-service access. You will lead a team of Business Intelligence & Analytics Analysts, Analytics/Data Engineers, and Data Quality Specialists. Above all, this is a full-stack, player-coach role - not a hands-off manager. You'll lead a team, but you'll also be in the work: your morning might be deep in data engineering, pairing with Claude Code to refactor a dbt model or debug a Dagster pipeline, and your afternoon might be building and delivering a polished, board-ready presentation that translates that same data into a clear story for the C-suite. We're looking for someone who is equally credible in a terminal and in the boardroom, and who is genuinely energized by the full range - from the plumbing to the podium. Key Responsibilities: Operational Excellence & Metric Definition (the foundation) - Own and maintain a comprehensive, well-governed set of business KPIs and the precise metric definitions behind them - the trusted source the rest of the business runs on. This spans the core recurring-revenue metrics this function lives and dies by - ARR, ACV, GRR, NRR, churn and contraction, bookings, pipeline and pipeline coverage, win rate, sales-cycle length, quota attainment, and forecast accuracy - along with the upstream operational measures that feed them. - Nail the definitions where the traps live: how contraction is treated across GRR vs. NRR, churn vs. downgrade, ACV vs. TCV, new vs. expansion vs. renewal, and how each metric is segmented and rolled up. Make the calculation logic explicit, documented, and consistent everywhere it appears. - Establish a "single version of the truth": reconcile conflicting numbers, eliminate ambiguity in how metrics are calculated, and ensure every figure traces back to a clean, documented source. - Gather requirements across teams, identify and close data gaps, and turn fuzzy business questions into durable, precise measures. - Design and document the analytics/data model for key personas across Turnitin - sellers, sales management, executives, and operations staff. - Audit and ensure the cleanliness, completeness, and reliability of data through automated testing and validation. - Partner with the Business Planning & Operations group to co-develop and continuously improve reporting and analysis, including preparation for Quarterly Business Reviews. - Build automated, repeatable reporting solutions rather than one-off manual reports. Strategic Leadership - Develop and execute a BI strategy aligned with company objectives, anchored in operational rigor and trusted metrics, and built to scale with business growth. - Establish the architecture, standards, and governance that keep data trustworthy as the function and the business scale. - Shape the long-term vision for the analytics function and the roadmap that takes the team from today's stack to a modern, code-driven, and ultimately AI-augmented operating model. - Provide thought leadership and drive innovation across the enterprise analytics portfolio. Modern Data Platform & BI-as-Code (how we deliver the foundation) - Lead the migration from the legacy stack (Redshift, Alteryx, Tableau) to a modern ecosystem: dbt for transformation and modeling, Dagster for orchestration, Airbyte for ingestion, Redshift as the warehouse, and a modern code-first BI/semantic layer. - Treat BI as a software product - version control everything in Git, with code review, testing, CI/CD, and documentation as the default way of working. - Stand up and govern a code-driven semantic layer that turns the metric definitions above into reusable, testable, single-source assets, replacing brittle GUI-built reporting. - Drive data quality, governance, security, and access controls as code, with automated validation and monitoring. - Develop intuitive self-service dashboards that support global requirements. AI & Agentic Analytics (the amplifier, built on the foundation) - Champion the adoption of agentic coding tools (e.g., Claude Code, Codex) across the team for pipeline development, model building, dashboarding, and analysis - moving well beyond chat-window prompting. - Build conversational analytics experiences that let stakeholders query data in natural language and receive trustworthy, governed answers - only ever on top of well-defined metrics. - Implement AI-generated narratives that automatically explain "what happened and why" on top of dashboards and KPIs. - Pilot and operationalize AI agents that don't just surface insight but take action on it - drafting analyses, opening pull requests, flagging anomalies, and proposing next steps. - Stay ahead of the rapidly evolving LLM and agent tooling landscape, and translate it into practical productivity gains for Revenue Operations. Collaboration and Communication - Work closely with business users, stakeholders, and the broader Go-To-Market and Revenue Operations teams to translate business needs into analytics initiatives. - Communicate effectively across technical and non-technical audiences and across geographies. - Present complex analyses and insights to non-technical stakeholders in a clear, actionable manner. Team Development - Lead as a player-coach - set direction and mentor the team, while staying hands-on in the build, modeling the engineering and presentation standards you expect. - Build, mentor, and manage a high-performing team of analysts, analytics/data engineers, and BI developers. - Upskill the team in analytics engineering practices and AI-assisted development. - Foster a culture of innovation, continuous improvement, and data-driven decision-making. Basic Qualifications Experience - Minimum of 10 years in business intelligence, data analytics, analytics engineering, or related fields, with at least 5 years in a leadership role. - 7+ years across business/revenue operations, business analytics, consulting, and/or information technology. - Demonstrated track record defining KPIs and metric frameworks, and establishing a trusted single source of truth across an organization. - Deep fluency in SaaS recurring-revenue metrics - ARR, ACV, GRR, NRR, churn/contraction, bookings, pipeline, win rate, quota attainment, and forecast accuracy - including the judgment to define them rigorously and defend the calculation logic. - Proven ability to source and integrate data from multiple systems into a single, trusted view, and to reconcile conflicting numbers. - Practical end-to-end experience across requirements, design, development, testing, and deployment of analytics solutions at varying scale. - Strong SQL skills, plus working proficiency in Python for data work and automation. - Experience with BI and visualization tools (e.g., Tableau today, with a clear point of view on code-first BI tools) and with CRM data for revenue reporting and forecasting (e.g., Salesforce). - Proven track record implementing and managing self-service BI solutions. - Experience analyzing complex data relationships and exploring "what-if" scenarios. - Hands-on experience with a modern, code-driven data stack - including transformation (dbt), orchestration (Dagster or similar), and ingestion/ELT (Airbyte or similar) - on a cloud warehouse such as Redshift. - Comfort working in a version-controlled, code-first environment (Git/GitHub), including code review and CI/CD for analytics. - Demonstrated, hands-on use of LLMs and agentic coding tools (e.g., Claude Code, Codex) for real engineering and analytics work - not just chat-based prompting. Skills - A systems thinker - able to see how metrics, data sources, processes, and teams connect, and to design analytics that hold together as the whole system changes. - Strong analytical skills - able to evaluate information from multiple sources, reconcile conflicts, decompose high-level requests into detail, and abstract detail into general understanding. - Demonstrated business acumen and the ability to apply technology to solve business problems. - Self-starter who operates independently with a track record of success on strategic and operational work. - Ability to lead teams across functions and geographies on ambiguous, complex problems. - A full-stack player-coach - hands-on enough to build the pipeline yourself, polished enough to present the result to the C-suite, and able to move between the two in the same day. - Strong written and verbal communication skills, with a track record of presenting to senior management. - Ability to manage multiple competing priorities and drive projects to completion. - Sound business judgment, a proven ability to influence, and a bias for ownership. Education - Bachelor's degree in Business, Data Science, Computer Science, or a related field. A Master's degree or MBA is preferred. Preferred Qualifications - Experience supporting education and/or nonprofit institutions. - Management or Financial Consulting background. - Experience building conversational analytics, AI-generated narratives, or semantic/metrics layers. - Experience deploying AI agents that build pipelines, dashboards, or analyses, or that act on insights. - Familiarity with data quality and observability tooling, and with governance-as-code. - Advanced degrees, certifications, or coursework in business intelligence, analytics, data science, or AI/ML. The expected annual base salary range for this position is: $130,350/year to $217,250/year. This position is bonus eligible. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they're only part of the value you receive in exchange for your work. Beyond compensation, you'll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You'll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life's challenges. You'll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. - Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do. - Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe. - Integrity: Integrity is the heartbeat of Turnitin-it is the core of our products, the way we treat each other, and how we work with our customers and vendors. - Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it's hard. - One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes. - Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world. Global Benefits - Remote First Culture - Health Care Coverage - Education Reimbursement*Competitive Paid Time Off - Self-Care Days - National Holidays - 2 Founder Days + Juneteenth Observed - Paid Volunteer Time Off - Charitable Contribution Match - Monthly Wellness or Home Office Reimbursement - Access to Employee Assistance Program (mental health platform) - Parental Leave - Retirement Plan with match/contribution Seeing Beyond the Job Ad At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and unleash your potential alongside us, join our team!

Role Description The Business Intelligence Analyst is a member of the Enterprise Data team responsible for designing, optimizing, and governing the organization’s BI and analytics ecosystem. This role focuses on building scalable semantic models, architecting reusable data structures, and ensuring that enterprise BI systems operate efficiently, securely, and reliably. The BI Analyst partners with data engineering, MDM, business leaders, and BI Specialists to enable high-quality, governed, and performant analytics across the company. This position is pivotal to advancing BI maturity by establishing standards, implementing automation, shaping BI architecture, and ensuring that reporting and analytics capabilities are built on trusted, enterprise-grade data foundations. Duties and Responsibilities - Enterprise Architecture & Modeling - Architect and maintain enterprise semantic models, visualizations, and reusable data structures to support scalable analytics across business domains. - Define and enforce modeling standards, naming conventions, metadata requirements, and enterprise KPIs. - Serve as the primary owner of the Power BI semantic layer, ensuring consistency, accuracy, and performance. - Partner with data engineering to align lakehouse/warehouse structures with downstream BI needs. - BI Platform Engineering & Governance - Establish and manage BI governance frameworks, including version control, lifecycle management, documentation standards, and dataset certification processes. - Implement and optimize dataset refresh strategies, incremental refresh, partitioning, and performance tuning. - Develop and maintain automated CI/CD pipelines for BI assets across development, QA, and production environments. - Ensure BI systems comply with data security, access control, and data governance policies. - Pipeline, Data Quality, and System Optimization - Design and optimize ETL/ELT processes in coordination with data engineering teams. - Implement monitoring, alerting, observability, and root-cause analysis processes for BI pipelines, datasets, and dashboards. - Lead performance troubleshooting efforts across SQL, semantic models, and dataset configurations. - Strategic Leadership & Roadmap Contribution - Contribute to and influence the Enterprise Data analytics roadmap, making recommendations on architecture, tooling, automation, and governance improvements. - Evaluate emerging BI technologies, AI agents, and automation capabilities, advising on adoption and enterprise impact. - Lead cross-functional design reviews for major BI initiatives, ensuring alignment with enterprise data strategy. - Collaboration, Enablement, and Mentorship - Collaborate with business leaders to translate strategic objectives into analytic frameworks and enterprise data models. - Mentor BI Specialists and business users on visualization standards, data literacy, and best practices for semantic model consumption. - Provide technical leadership and consultation on high-impact analytics projects. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field. - 7+ years of hands-on experience in BI engineering or analytics architecture, preferably within the Microsoft BI ecosystem. - Expert-level proficiency in Power BI modeling, including DAX, Power Query (M), relationships, incremental refresh, partitions, and DirectQuery strategies. - Strong understanding of SQL development, query optimization, indexing, and data warehouse concepts. - Experience developing and managing BI pipelines, ETL/ELT workflows, and data validations. - Familiarity with Databricks or similar big data platforms preferred. - Experience designing and implementing CI/CD, DevOps, or automation frameworks for BI assets. - Strong understanding of data governance, access control, security roles, and BI lifecycle management. - Demonstrated ability to lead architecture discussions, drive standards, and influence enterprise data strategy. - Excellent communication skills with the ability to translate technical concepts for business audiences. - Strong problem-solving, leadership, and analytical skills with a continuous improvement mindset. Work Environment - Office and occasional manufacturing environment; may require PPE in certain settings. - Occasional evening and weekend work to meet deadlines. - Ability to travel as needed for offsite integration efforts or conferences. - Manual dexterity and visual acuity to operate standard office equipment. - Ability to work remotely if necessary. Physical and Mental Demands - Office/desk role. - In accordance with the Americans with Disabilities Act (ADA), reasonable accommodations may be provided to enable individuals with disabilities to carry out essential job duties. Benefits - Competitive medical, dental, vision, and prescription insurance coverage. - 401k with a company match. - PTO Hours are accrued from Day 1. - Tuition reimbursement. - Opportunities for development and internal promotions. - Two minute walk to eco-friendly public transportation from rabbittransit.

Title : Language Enabled Intelligence Analyst Location: Arlington United States Job Description: Language Enabled Intelligence Analyst The Opportunity: With all the information available today, it takes a skilled intelligence analyst to know how to find and interpret the best data to give their clients the right answers. With the critical decisions made in our government and military every day, we need an intel analyst like you to do just that. As a language enabled analyst you use your specialized technical and language experience and your attention to detail to develop reports, products and analytic assessments to give your client the actionable intelligence and context they need. If you have strong analytical skills and a problem-solving mindset, we have an opportunity to use those skills to protect our national intelligence and inform our nation's leaders. As a language enabled intelligence analyst on our team, you'll help your client understand their operational landscape, scientific topics and technical interest. Using your comprehensive understanding of various collection platforms, you'll explore new data sources, develop effective queries, and combine information from disparate open sources and publicly available information. You'll validate information and develop tradecraft as you build assessments for internal client publications. As the subject matter expert on your topic, your client will look to you for time-critical recommendations. This is a chance to grow your expertise and broaden your skillset into areas of linguistics and open source intelligence. You'll share your expertise with other analysts through leadership and mentoring. We focus on growing as a team to deliver the best support to our customers, so you'll have resources to learn new skills and tools. Work with us as we provide the right information at the right time to support the critical needs of our nation's leaders and policymakers. Join us. The world can't wait. You Have: - Experience with performing written translation - Experience in OSINT or PAI research, collection methods, and multi-source intelligence systems - Experience with Tradecraft and Managed Attribution (MA), including the employment of MA systems such as Silo to maintain operational security (OPSEC) - Experience with PAI platforms, datasets, technologies, associated tradecraft, and geo-enabled tools - Ability to produce client-ready, time-sensitive products and reports per client requirements - TS/SCI clearance - Bachelor's degree Nice If You Have: - Experience in a scientific or technical field including microelectronics and semiconductors - Ability to operate in a dynamic, fast-paced environment that may on occasion require working non-standard hours - Ability to show a score of 3 or higher in Listening and Reading on the DLPT, ILR, ODA, or ACTFL Advanced Low in a critical Eastern European language - Possession of excellent written and verbal communication skills - Master's degree preferred - CASO, SANS, or OSINT 301/302 certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

• Prepare and deliver Investor reporting packages and data files, including monthly, quarterly, annual, and ad‑hoc reports required by Investors. Ensure all reporting, certifications, remittances, and supporting documentation are accurate, complete, and submitted within required deadlines. • Reconcile and validate loan‑level data against Investor reports and servicing system records to ensure data integrity. Review Investor files, account reconciliations, payment activity, and wire instructions for accuracy, completeness, and compliance with Investor requirements. • Support and drive process automation and continuous improvement initiatives to enhance reporting efficiency, accuracy, and operational controls. • Assist in coordinating internal and external audits, including preparing documentation, managing timelines, and serving as a liaison with auditors and internal stakeholders. • Facilitate and support compliance‑related meetings by preparing agendas, documenting discussions, and tracking follow‑up actions to ensure timely completion. • Mentor junior team members by providing guidance, reviewing work, and contributing to team development and knowledge‑sharing initiatives. • Prepare recurring and ad‑hoc reports for senior leadership, highlighting trends, variances, risks, and key exceptions. • Collaborate with Finance, Asset Management, and other servicing teams to resolve reporting issues and support internal control requirements.