Role Description The organization’s global reporting ecosystem — including dashboards, data models, and analytical workflows — is a critical technical layer supporting Individual Giving (IG) performance monitoring, operational reporting, and decision‑making across Country Offices and National Committees. As SES adoption has matured, market demand has shifted from basic reporting to increasingly complex Power BI segmentations, Salesforce reports with advanced logic, and frequent changes to dashboards used for financial and operational processes. In parallel, Country Offices have reported the need to create reports outside SES, indicating gaps in consolidation and automation. The consultant will be responsible for stabilizing, consolidating, and modernizing the SES global IG reporting ecosystem, covering the full reporting stack from data models to dashboards and alignment across platforms. The scope includes 6 phases. (See TOR for details) Qualifications - Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, Business Intelligence, or other related quantitative or technical fields. - 7+ years of experience in business intelligence, data modelling, analytics engineering, or similar technical functions. - Proven expertise in Power BI dataset design, including incremental refresh, partitions, DAX optimization, and metadata governance. - Strong experience with data warehousing, SQL, ETL/ELT, and transformation logic across multi‑market environments. - Experience aligning Salesforce reporting with BI/KPI frameworks. - Experience working within the UN system, UNICEF, or similar international organizations is an asset. - Demonstrated ability to automate and document financial or operational models. - Experience producing technical documentation, KPI definitions, SOPs, and dashboard or dataset specifications. - Ability to deliver training and capacity-building for non‑technical users. - Experience with UNICEF/INGO fundraising data and supporter/campaign structures. - Familiarity with Azure (Data Factory, Synapse, Databricks) and/or Python/R for analytical prototyping. - Understanding of AI governance, data ethics and privacy considerations. - Fluency in English (written and verbal) is required; knowledge of another UN language (e.g., Spanish, French, Arabic) is an asset. Requirements - UNICEF’s Core Values of Care, Respect, Integrity, Trust and Accountability and Sustainability (CRITAS). - Commitment to include everyone, irrespective of their race/ethnicity, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, minority, or any other status. - UNICEF encourages applications from all qualified candidates, regardless of gender, nationality, religious or ethnic backgrounds, and from people with disabilities, including neurodivergence. - Reasonable accommodation for persons with disabilities throughout the recruitment process. - UNICEF does not hire candidates who are married to children (persons under 18). - Zero-tolerance policy on conduct incompatible with the aims and objectives of the United Nations and UNICEF. - All selected candidates will undergo rigorous reference and background checks. Benefits - Diverse opportunities for professional and personal development. - Attractive compensation and benefits package. Application Process - Qualified candidates are invited to submit the following documents via the online recruitment portal, TMS (Talent Management System): - An up-to-date TMS profile and curriculum vitae (CV) - Cover letter - A separate financial proposal - A detailed technical proposal - UNICEF does not charge a processing fee at any stage of its recruitment, selection, and hiring processes. - All UNICEF positions are advertised, and only shortlisted candidates will be contacted.

Bandit Running is a pioneering technical performance brand committed to creating innovative, high-quality apparel & gear for goal-driven runners. Our mission to “Evolve Running” guides everything we do, always putting the needs of the global running community first. As the fastest-growing brand in the sport, we challenge conventional brand-building norms, prioritizing an extremely high-bar for disruptive excellence across product, experiences & content. Our vision is to build an enduring, iconic brand that breaks down barriers & inspires greater passion & participation in the sport we love. We are seeking a Senior Data Engineer / Analytics Engineer (Contract) to help architect and build the next generation of our backend data systems. This role will partner closely with our Head of Data to design and implement an analytics foundation that powers new models, analyses, KPIs, and AI-driven workflows across the company. This is a hands-on builder role. You’ll be responsible for building reliable, recurring data pipelines, transforming raw data into durable analytical models, and helping shape how Bandit structures data for long-term scalability, including AI-first consumption.

The Indiana Health Information Exchange (IHIE) is one of the nation’s largest health information exchange organizations. IHIE has been around for over a decade, with its roots dating back 30 years. As a not-for-profit HIE, we enable hospitals, physicians, laboratories, payers, and other health service providers to avoid redundancy and deliver faster, more efficient, higher quality healthcare to patients in Indiana. Today, by making information available to approximately 50,000 healthcare providers in Indiana and neighboring states, we deliver services that make a real difference in health and healthcare.****We are seeking an experienced Oracle-focused Analytics Data Engineer II to support IHIE’s data roadmap and build high-quality data assets that power clinical insights, products, and customer-facing analytics. This role requires highly skilled engineers who understand Oracle performance tuning, healthcare data standards, and the practical realities of designing pipelines at scale.****If you are talented, driven, collaborative, and enjoy solving complex data problems that make a difference, IHIE is a great place to grow.******Summary: **The Oracle Data Engineer II serve as technical contributor responsible for building and optimizing IHIE’s analytic datasets, data quality pipelines, and customer-facing data deliverables. This individual is a subject matter expert in Oracle SQL, PL/SQL, data modeling, and healthcare data standards. This individual collaborates closely with Solution Engineering, Product, and business stakeholders to ensure data assets are accurate, performant, and aligned with organizational priorities.************Job Function Risk Level 3: **Privileged user access with intentional access to PHI and sensitive data

Overview Build the Future At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being. How can you make an impact? The Cybersecurity Engineer – AI & DLP is responsible for designing and implementing data protection and governance controls across enterprise AI platforms, such as generative AI and AI-assisted development tools. This position centers on preventing data leaks, overseeing AI interactions with sensitive information, and applying security policies using DLP technologies, logging, and automated controls. The engineer will assess risks associated with AI platforms, set up inspection and monitoring systems, and create governance frameworks that ensure AI tool usage complies with organizational security, privacy, and compliance standards. This is a remote position open to applicants authorized to work for any employer within the United States. What You'll Do: - Define and implement AI security controls, such as prompt filtering, response inspection, redaction, and usage monitoring, to ensure enterprise AI tools operate within approved data protection and compliance boundaries. - Evaluate inputs and outputs of enterprise AI tools (e.g., ChatGPT, Claude, and internal LLM platforms) to identify risks related to sensitive data exposure, prompt injection, and intellectual property leakage. - Design and implement technical guardrails and monitoring controls—including prompt inspection, output filtering, and DLP policies—to ensure AI usage aligns with enterprise security and data governance standards. - Design, implement, and operate Data Loss Prevention (DLP) controls to prevent the exposure of sensitive data across enterprise AI platforms and generative AI tools. - Partner with engineering, AI/data science, and Digital Workspace teams to integrate security controls into AI platforms, including prompt monitoring, data classification, and access controls. - Evaluate emerging AI tools, models, and AI-assisted development platforms to identify cybersecurity risks and recommend appropriate security requirements and mitigations. - Implement logging, monitoring, and alerting capabilities to provide visibility into how enterprise data is accessed, processed, and shared through AI systems. - Develop and enforce policies and technical controls that prevent the use of sensitive data (e.g., PII, credentials, proprietary content) within AI prompts, training datasets, or integrations. - Design and implement a Data Loss Prevention (DLP) strategy throughout all MH infrastructure systems (MS Purview, Zscaler, cloud environments). Operationalize the alert and triage standard operating procedures to protect sensitive emails, uploads, and other avenues of data loss. - Support the design of secure architecture for enterprise AI platforms, including controls for data handling, model access, API usage, and third-party integrations. - Contribute to security awareness and guidance for developers and employees on safe and responsible use of generative AI tools. Who You Are: - 15+ years of applicable experience. - Bachelor's degree in computer science, Engineering, or related field. - Strong communication skills and comfortability working directly with business stakeholders, vendors, and leadership. - Ability to present risks and recommendations to leadership. - Ability to translate complex identity concepts into business value. - Understanding the Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and API integrations. - Strong knowledge of DLP technical controls, concepts, and end user computing behaviors. - Experience with administration of the Microsoft tool suite, particularly M365 Copilot, GitHub Copilot, Microsoft Purview. Preferred: - In-depth knowledge of agentic AI usage and guardrails from an end user and development perspective. - Knowledge of infrastructure and engineering of client/server compute systems. Why work for us? The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights. The pay range for this position is between $136,000 - $190,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings. McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email. 50575