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Experience Level
Manager
Qualifications
The ideal candidate will possess a strong background in data science and analytics, with a proven track record of managing teams effectively. Key qualifications include:Master's degree in Data Science, Statistics, Computer Science, or a related field.5+ years of experience in data science roles, with at least 2 years in a managerial position. Proficiency in programming languages such as Python or R, and experience with machine learning frameworks. Strong analytical skills and a deep understanding of statistical analysis. Excellent communication skills to convey complex data insights to non-technical audiences.
About the job
NielsenIQ is seeking a Data Science Manager based in Sydney. This leadership position centers on guiding a team of data scientists who transform complex datasets into actionable insights for clients. The manager shapes project direction and ensures analytical work meets high standards.
Main responsibilities
Lead and mentor a team of data scientists, fostering professional growth and collaboration
Oversee the development and improvement of data science methodologies
Review analysis and recommendations to ensure they consistently meet client expectations
Support strategic decision-making and contribute to the company’s business growth
About NielsenIQ
NielsenIQ is a leading global measurement and data analytics company that provides the most complete and trusted view of consumer behavior. We empower our clients to make smarter decisions by providing them with the information and insights they need to thrive in a competitive marketplace. Join us and be part of a dynamic team that values innovation, collaboration, and excellence.
About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company focuses on solving real-world challenges across various sectors, guided by BRAVER values and a culture that values curiosity, diligence, and courage. Leadership maintains an open-door policy, supporting both professional growth and …
About Future Secure AI Future Secure AI builds advanced artificial intelligence solutions for real-world challenges across multiple industries. The company values bravery, rigor, and curiosity, with a leadership team that encourages open communication and professional growth. Co-developed with major financial institutions, Future Secure AI combines startup agility with enterprise backing. The focus: developing agentic AI Co-workers, autonomous systems that help organizations work smarter and faster. Employees work closely with C-suite leaders and international partners to create AI Co-workers that think, act, and collaborate. The goal is to transform how people and AI work together. Role Overview: Senior AI Engineer in Data Science This Senior AI Engineer role centers on building agentic AI Co-workers, multi-step reasoning systems, and autonomous workflows for enterprise use. The position involves designing and implementing advanced large language model (LLM)-driven agents that plan, make decisions, and act independently. Safety, reliability, and scalability remain top priorities throughout development. The Senior AI Engineer helps set the technical direction for the AI platform, mentors junior engineers, and ensures systems deliver strong results in complex environments. The work directly shapes how humans and AI collaborate. Key Responsibilities Design, develop, and deploy agentic LLM-driven systems with planning, tool-use, workflow orchestration, and reasoning features. Apply machine learning and advanced analytics to improve decision-making for autonomous AI Co-workers. Enhance multi-step reasoning, context management, and system responsiveness. Locations Sydney, Melbourne, Brisbane
Role Overview Canva is seeking a Senior Data Science Manager to guide a team focused on productivity initiatives. Based in Sydney, this leader will shape how data science supports and improves operational efficiency across the company. What You Will Do Lead and mentor a team of data scientists working on projects that impact productivity Promote data-driven decision-making throughout the organization Develop and implement solutions that streamline operations and processes About the Team This group works at the intersection of data science and business operations, collaborating closely with stakeholders to deliver measurable improvements in productivity.
Location : Sydney, Australia (Hybrid - 3 Days In Office)About Us At Relevance AI, we’re on a mission to revolutionize the AI workforce. Our goal is to empower teams to harness AI agents that think, act, and collaborate like seasoned experts.Our platform allows users to create and manage intelligent agents that streamline workflows, make decisions, and enhance collaboration. We proudly serve industry leaders including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, enabling them to achieve operational excellence in marketing and sales.Supported by notable investors like Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, we successfully raised our Series B funding in April 2025 to further accelerate our growth and push the boundaries of agentic automation.With headquarters in San Francisco and Sydney, we embrace a hybrid work model that thrives on curiosity, collaboration, and swift execution. We are proud to have been recognized as LinkedIn’s #1 Startup in Australia in 2025. If you're eager to shape the future of AI, we want you on our team.The Role We are looking for exceptional Staff Engineers to join our AI team and innovate AI-powered products. This role is a high-impact applied AI position for engineers who are passionate about making a real-world difference. You’ll develop and deploy AI features that address customer needs across various industries, transforming cutting-edge agentic AI into reliable production systems.This is not a conventional ML or MLOps role. Your responsibilities will encompass the entire stack, from designing and building AI-powered workflows to creating tools and user experiences. Your tasks will involve prompt and context engineering, agent orchestration, backend services, APIs, infrastructure, and user-facing interfaces, often collaborating on the same project.You will work closely within a small, high-performing team of AI specialists, reporting directly to our co-founder, and engaging deeply with our diverse Product & Engineering teams. If you are excited about LLMs, multi-agent systems, and tackling complex AI challenges, this role is tailored for you.
Role overview NielsenIQ is seeking a Data Science Manager based in Sydney. This leadership position centers on guiding a team of data scientists who transform complex datasets into actionable insights for clients. The manager shapes project direction and ensures analytical work meets high standards. Main responsibilities Lead and mentor a team of data scientists, fostering professional growth and collaboration Oversee the development and improvement of data science methodologies Review analysis and recommendations to ensure they consistently meet client expectations Support strategic decision-making and contribute to the company’s business growth
Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence. Founded in Australia in 2002, we are a global collective of over 1,200 professionals operating across 14 locations. Our unique combination of product development and consulting services empowers businesses to harness the full potential of data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more insightful world.The Opportunity We are actively seeking talented individuals at various stages of their careers in Australia (Sydney, Melbourne, and Brisbane), and we invite you to express your interest. Whether you're just embarking on your professional journey, are midway through your career, or are a seasoned leader, we want to hear from you. At Quantium, you will not just create models that are stored away; you will develop systems that transform how organizations function—on a large scale, in production, and with tangible real-world impact. Our teams tackle genuinely unsolved challenges, employing the latest AI and data science techniques in collaboration with some of the brightest minds in the field. We are currently accepting expressions of interest for roles ranging from individual contributors to executive positions in: AI, Analytics & Data Science
Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence, established in Australia in 2002. With over 1,200 professionals across 14 locations globally, we seamlessly blend product and consulting services to empower businesses in unlocking the full potential of their data and analytics. Our partnerships with the world's largest corporations aim to create a more intelligent and innovative future. At Quantium-Telstra (QT), we are embarking on a groundbreaking AI transformation with Telstra InfraCo, revolutionizing the planning, construction, and operation of Australia’s digital infrastructure.As a Senior Data Scientist, you will be an integral part of cross-functional QT–InfraCo teams, reporting to QT Leads and collaborating directly with InfraCo stakeholders to bring AI opportunities to fruition. Your responsibilities will include conducting discovery and design sessions, coordinating project delivery among business and technical teams, actively developing AI and ML solutions, and tracking measurable outcomes as these capabilities are implemented.
Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence, having established its roots in Australia in 2002. As a global powerhouse with over 1,200 professionals across 14 locations, Quantium expertly combines product and consulting services to empower businesses in maximizing value from their data and analytics. Our partnerships with some of the world's largest corporations drive the creation of a smarter, more insightful world.The Executive Manager of AI Engineering & Consulting is a strategic leadership role focused on expanding Quantium's capabilities in delivering AI transformations for Australia’s largest enterprises. You will oversee a dynamic global AI engineering team, guiding major organizations in modernizing their engineering processes to adopt an AI-first approach.This position is crucial as we respond to the growing demand from enterprise clients eager to integrate AI into their engineering frameworks, products, and operational strategies. As we execute large-scale AI initiatives for leading companies, your role will be pivotal in establishing a repeatable and scalable capability.Positioned at the nexus of engineering leadership, enterprise consulting, and AI implementation, you will direct multiple engineering squads while shaping the methodologies, practices, and playbooks that define Quantium’s AI consulting excellence.This prominent role will significantly influence how our teams execute AI projects and how enterprise clients evolve their engineering organizations. Success hinges on your ability to blend strong engineering leadership with a credible presence in complex enterprise environments, transforming ambitious AI strategies into actionable, scalable solutions.
Join MYOB as a Senior Full Stack Developer specializing in Data & AI. We are looking for innovative thinkers who are passionate about cutting-edge technology and eager to make an impact. In this role, you will be responsible for developing robust applications that leverage data-driven insights and AI solutions.Your expertise in both front-end and back-end development will allow you to contribute significantly to our projects. You will work collaboratively with cross-functional teams to design, implement, and maintain software solutions that enhance user experiences and drive business success.
Location: Sydney, Australia (Hybrid: 3 days per week in office) Relevance AI develops a platform for building and managing intelligent agents that help teams automate workflows and improve collaboration. The company’s technology supports major clients such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them strengthen operations, marketing, and sales. Backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, Relevance AI completed its Series B funding round in April 2025. With headquarters in San Francisco and Sydney, the team values curiosity, collaboration, and decisive execution. In 2025, LinkedIn recognized Relevance AI as Australia’s #1 Startup. Role overview The Enterprise team at Relevance AI seeks a Staff Software Engineer based in Sydney. This group focuses on building and scaling platform features for the company’s largest and most demanding customers. Projects emphasize security, reliability, compliance, and adaptability at enterprise scale, with particular attention to identity and access management, auditability, and regulatory requirements. What you will do Offer technical leadership and hands-on execution within the Enterprise team Work closely with product, engineering, and go-to-market teams to deliver enterprise-grade capabilities and backend systems Design complex systems and influence architecture across teams Ensure the platform upholds high standards for security, reliability, and compliance See the direct impact of your work on customer outcomes Impact and growth Each engineering team at Relevance AI addresses a distinct aspect of the AI workforce. The Enterprise team specializes in scaling AI systems for global organizations. This role plays a key part in making AI solutions functional, dependable, and production-ready for enterprise use.
The AI Forward Deployed Engineering (AI FDE) team at Databricks is a distinguished group dedicated to delivering cutting-edge AI solutions directly to our clients. Our mission is to empower customers to design and implement innovative AI applications that set new industry standards. By collaborating cross-functionally with engineering, product teams, and internal experts, we strategically enhance our clients' capabilities in the rapidly evolving fields of Generative AI, LLMOps, and Machine Learning. If you thrive on customer engagement, teamwork, and staying ahead of GenAI trends, this team is the perfect fit for you. Remote work options are available.
Full-time|On-site|Sydney, New South Wales, Australia
About Ofload and Our MissionThe FreightTech sector is an exhilarating domain, presenting a unique opportunity to revolutionize one of the largest industries worldwide. The Australian freight market is valued at $66 billion, yet it remains largely analogue with significant inefficiencies; for instance, 30% of truck journeys are made with no cargo. The networks are opaque, data is disjointed, and smaller transport operators struggle to compete with larger entities.At Ofload, we are dedicated to transforming the freight industry and ushering it into the digital age. We harness technology, data, and strategic collaborations to link an expanding portfolio of prestigious clients with efficient smaller transport operators. By minimizing empty truck journeys, enhancing visibility, and optimizing supply chains, we are leading the way towards smarter, more sustainable, and efficient operations that benefit both businesses and the environment.This is more than logistics; it's FreightTech—a technology-driven transformation of an industry that supports the economy and impacts everyone’s daily life.Why Join Ofload?Becoming a part of Ofload means joining a rapidly growing scale-up. You'll collaborate with driven individuals who are eager to challenge the status quo and make a tangible difference. Our team thrives on challenges, values open and honest feedback, and is dedicated to collective growth.We have secured over $100M in funding from some of the world’s leading investors—those who have backed companies like Canva, Revolut, and HelloFresh. Throughout our journey, we have received accolades for our innovation and workplace culture:Ranked #1: Deloitte Climate and Sustainability Award 2024 for our pioneering Carbon Analytics PlatformRanked #2: AFR BOSS Best Places to Work 2024 in Transport and ConstructionFeatured in AFR BOSS Fast100 List 2025 with the second highest revenueRecognized in Deloitte Fast50 for three consecutive yearsHighlighted in AFR FastStarters for three consecutive yearsAt Ofload, we blend the agility of a tech startup with the impact of addressing a substantial real-world challenge. If you are prepared to join a forward-thinking team reshaping the future of freight, we invite you to connect with us.The Role:We are on the lookout for a Senior Data Engineer to lead the development of our data platform from inception, determining how data is structured, flows, and ultimately influences decision-making across our organization.This is a genuine zero-to-one opportunity. You will transform fragmented, multi-source data into a scalable, real-time data warehouse that supports everything from business intelligence reporting to advanced analytics and AI initiatives.Your role will not be limited to following handed-down requirements; you will define the data strategy, take ownership of key metrics, and construct the pipelines that drive commercial success. Collaborating closely with Product, Engineering, Finance, and BI teams, you will be central to how the business interprets and utilizes data.
Full-time|A$1.2K/yr - A$1.2K/yr|Hybrid|Sydney, Australia
Location: Sydney, Australia (Hybrid, 3 days per week in office) Relevance AI develops technology that helps teams delegate complex work to AI agents. The platform allows organizations to build and manage intelligent agents, streamlining workflows and supporting collaboration and decision-making in a single environment. Clients include well-known companies such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard. Relevance AI is backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital. The company completed its Series B funding in April 2025 to accelerate growth in agentic automation. With headquarters in San Francisco and Sydney, the team values curiosity, collaboration, and execution. In 2025, LinkedIn recognized Relevance AI as Australia’s #1 Startup. Role overview The Senior Staff Software Engineer will join the Chat team in Sydney. This team manages the conversational interface of the Relevance AI platform, connecting users with AI agents, productivity tools, and research workflows. The Chat system relies on a scalable back-end to support real-time, intelligent user interactions. What you will do Set technical direction and lead execution for the Chat team Collaborate with product, engineering, and go-to-market teams to deliver enterprise-grade features and back-end systems Design complex systems and influence architectural decisions across teams Create solutions that shape customer experiences directly Why this role matters Engineering at Relevance AI pushes the boundaries of the AI workforce, supporting everything from individual creators to large-scale deployments. This role helps make AI more accessible, reliable, and production-ready for organizations worldwide.
About KasadaBecome part of our mission to eliminate bad bots from the internet! At Kasada, we safeguard millions of online users daily. Established to combat automated bot attacks, we envision a secure internet for all. Bad bots wreak havoc; they hijack accounts, pilfer content, overwhelm systems, and contribute to billions in annual damages. Our goal is to restore trust in the internet by intercepting bots right at their first request, including those that are entirely novel.From humble beginnings in a shipping container beneath the Sydney Harbour Bridge, Kasada has expanded its reach globally, now protecting some of the world’s most recognized brands.We are a team driven by curiosity, unafraid to propose innovative solutions to complex problems. We seek individuals who are enthusiastic about addressing significant cybersecurity challenges while enjoying the journey!In this pivotal role, you will be instrumental in reshaping our data platform, transitioning it from a conventional ETL-based warehouse to a powerful, agile data architecture. Your primary objective will be to eradicate latency issues in our current system, propelling us towards a platform that supports rapid query performance for real-time portal metrics, as well as developing models for data science and internal diagnostics.You will collaborate closely with our Data Analytics, Customer-Facing Portal, and Data Science teams, constructing data solutions that enable them to uncover deeper insights and facilitate crucial business decisions. This position demands extensive collaboration; you will engage with diverse stakeholders to comprehend their requirements and design the necessary infrastructure and technologies, ingestion processes, and data applications to meet them. Whether enhancing a customer-facing dashboard or an internal diagnostic tool, you'll ensure our data is accessible, swift, and dependable, all while advocating for engineering excellence and shaping our technical future.
Full-time|On-site|Sydney, New South Wales, Australia
About Ticketek Entertainment GroupAt Ticketek Entertainment Group, we are dedicated to crafting unforgettable experiences for fans globally. As a leading fan experience company, we specialize in ticketing, promoting, and delivering live events that capture the essence of real human connection. In a world filled with distractions, our mission is to enhance the joy of live experiences!Our diverse portfolio includes the Fan Experience Platform (Ticketek), which provides ticket sales and value-added services, along with event promotion through entities such as TEG Touring, TEG Sport, and TEG Experiences. Our digital arm, Ovation, focuses on transforming data into seamless, impactful experiences for our fans and partners.About the RoleWe are seeking a Senior Data Scientist who possesses advanced technical expertise and a strong theoretical foundation to spearhead the development of TEG's next generation of AI products. Collaborating closely with the Principal and Lead Data Scientists, you will serve as a bridge between pioneering research and production-ready applications. Your role will involve partnering with ML Engineers and Product teams to uphold technical excellence through CI/CD implementation, Dockerization, and comprehensive model monitoring. Your primary objective will be to enhance the technical capabilities of our team, ensuring every solution is grounded in scientific rigor and scalable engineering practices.What Your Day Will Entail:State-of-the-Art Implementation: Leverage your deep theoretical understanding to implement cutting-edge machine learning and Generative AI solutions that yield tangible business benefits.Solution Design Support: Collaborate with Principal and Lead Data Scientists to assess technical feasibility and provide insights to guide the AI roadmap.Experimentation & Measurement: Develop robust frameworks for experimentation and measurement to quantitatively evaluate model performance and its impact on business outcomes.Development and Operational Delivery: Produce high-quality production code to develop and enhance models, working alongside ML Engineers to deploy solutions on cloud platforms.Vertex AI Expertise: Design and implement comprehensive AI solutions within the Vertex AI ecosystem, utilizing Pipelines, Agent Garden, and Vertex Search.Stakeholder Engagement: Act as a trusted advisor, translating complex model behaviors and AI-driven business impacts into actionable insights that align with TEG's strategic objectives.
About Future Secure AI Future Secure AI develops artificial intelligence solutions for global enterprises. The company partners with a leading financial institution and maintains strong relationships at the executive level across major industries. With a focus on collaboration between humans and AI, Future Secure AI aims to improve organizational performance worldwide. The team values bravery, diligence, and curiosity. Leadership brings entrepreneurial experience and remains accessible. Professional growth is a priority, and every team member’s success matters. Role Overview: Senior AI Engineer - Software Based in Sydney, Senior AI Engineers (Software) play a key role in building Future Secure AI’s products and platforms. This position leads client-facing projects, working directly with customer and partner technical teams as well as internal colleagues to improve technology solutions. What You Will Do Lead technical engagements with clients and partners Collaborate with internal teams to advance product capabilities Balance complex coding assignments with broader business and product considerations Contribute to the ongoing development of AI-driven solutions What We Look For Strong organizational skills Experience working across functions and teams Ability to move between detailed technical work and high-level strategy Interest in advancing AI technology
Join Canva as a Staff Security Engineer specializing in AI Security. In this fully remote role, you will play a pivotal part in safeguarding our innovative design platform against emerging threats. Collaborate with talented engineers and cybersecurity experts to develop robust security measures that protect our users and their data.
Full-time|A$1.2K/yr - A$1.2K/yr|Hybrid|Sydney, Australia
Location : Sydney, Australia (Hybrid - 3 Days In Office)About Us At Relevance AI, we are revolutionizing the AI workforce. Our mission is to empower teams to effectively delegate significant tasks to AI agents that think, act, and collaborate like experts.With our platform, anyone can effortlessly create and manage intelligent agents that streamline workflows, make informed decisions, and enhance collaboration. Our cutting-edge technology is already trusted by industry leaders like Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, enabling them to achieve excellence across operations, marketing, and sales.Backed by top-tier investors such as Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, we successfully raised our Series B in April 2025 to accelerate growth and push the frontiers of agentic automation.With headquarters in San Francisco and Sydney, we thrive on curiosity, collaboration, and execution. We believe in moving fast, thinking big, and winning together. In 2025, we were honored to be recognized as LinkedIn’s #1 Startup in Australia.If you are eager to shape the future of AI, we welcome you to join our dynamic team.The Role We are looking for talented Senior Engineers to join our AI team and develop the next generation of AI-driven products.This is a high-impact applied AI position for engineers who want their contributions to make a significant difference. You will create and deploy real AI features that address customer needs across various industries, transforming advanced agentic AI into reliable production systems.This role transcends traditional ML or MLOps positions. You will engage with the entire stack to design, develop, and deliver AI-powered workflows, tools, and user experiences. Your responsibilities will encompass prompt and context engineering, agent orchestration, backend services, APIs, infrastructure, and user-facing interfaces, often within the same project.You will be part of a high-performing team of AI specialists, reporting directly to our co-founder, and collaborating closely with various Product & Engineering teams. If you are passionate about LLMs, multi-agent systems, and solving complex, real-world AI challenges, this role is perfect for you.Your Impact Develop Agents and Multi-agent Systems: Design and...
Collaborate with a talented team on innovative projects and diverse clients.Utilize your expertise in AWS, data management, and DevOps cloud operations.Take the lead in designing and developing advanced data lake and Kafka solutions.About Itoc:At Itoc, we streamline and mitigate the risks involved in our clients' transition to the cloud. We are a prestigious cloud consulting, engineering, and managed services firm with an established history of aiding clients in their cloud strategies, implementations, and operational needs.As a premier consulting partner with Amazon Web Services, we prioritize building relationships grounded in integrity and our commitment to a no-failed-project philosophy.Culture and intellect are essential to our success—bring your unique skills and insights. This is not your typical working environment; you will be collaborating with some of the brightest minds in the cloud industry.We believe in hard work intertwined with enjoyment.The Opportunity:We are expanding our Data Team in Sydney and seeking individuals with strong technical leadership potential. This is an exciting opportunity to work with contemporary data architectures, including data lakes, Apache Kafka, databases, and data transformation using Python and SQL.As a Senior Data Engineer, you will create foundational, robust, and production-ready data platforms that facilitate business data discovery, self-service capabilities, and AI/ML functionalities across various clients and sectors, empowering them to maximize their data assets. You will be responsible for:Enhancing our expertise in key data focus areas;Data Lakes and Modern Data ArchitecturesRelational Databases and Data WarehousesApache Kafka clusters and servicesKeeping our clients ahead of the curve by leveraging the latest data technologies and tools.Contributing to our expanding portfolio of data solutions.Ongoing optimization and management of data platforms.Designing and developing data ingestion, transformation, and presentation pipelines.Promoting data best practices to our clients.The Ideal Candidate:To succeed in this role, you should possess:A passion for data!Experience with data lakes, databases, and pub/sub solutions.The ability to analyze business scenarios and the associated data landscape to uncover potential opportunities.Excellent communication skills and the ability to work collaboratively.
Be a part of our vision to enhance the world of work.Culture Amp stands as the premier employee experience platform globally, transforming the work environment for 25 million employees across over 6,500 organizations. We empower businesses of all sizes to elevate employee engagement, streamline performance management, and cultivate high-performing teams. With a foundation in people science and the most extensive employee dataset available, leading companies like Canva, On, Asana, Dolby, McDonald's, and Nasdaq rely on Culture Amp daily.Headquartered in Sydney, Culture Amp is supported by top venture capital firms and operates in the US, UK, Germany, and Australia. Recognized by Forbes as one of the top private cloud companies and acknowledged by Fast Company as one of the most innovative companies, we continue to lead in our field.To learn more, visit cultureamp.com.Your role in transforming the workplaceWe are seeking a Senior Engineer to join the AI Research & Experience team, contributing to the development of AI Coach - Culture Amp's intelligent AI system that integrates survey insights, performance management, and interpersonal dynamics to provide tailored support for organizations, teams, and individuals at scale.Your work will bridge the gap between applied AI research and product engineering, implementing state-of-the-art techniques into production systems that truly enhance workplace experiences. This is not just a research position; you will deliver features that address real customer challenges.Your ResponsibilitiesStay abreast of current research, literature, and service offerings.Design, implement, and assess features of our multi-agent platform and systems using advanced frameworks (e.g., LangGraph) for dynamic, multi-turn coaching interactions.Guide the creation and orchestration of data pipelines that consolidate fragmented workplace data (such as surveys, goals, performance reviews, feedback, and 1-1 notes) into a cohesive coaching context.Convert customer requirements into technical solutions by working backward from user needs to system design, producing technical documentation to facilitate understanding and technical transfer.Collaborate closely with product, design, and people science teams to ensure the developed features meet user needs and adhere to existing product expectations.