• Manage Analytics deliverables throughout all phases of a marketing/media analytics engagement, including project scoping, data analysis, project management, and presentation of results to internal and external stakeholders. • Develop and deliver integrated research, measurement, analytics, and insights to help clients optimize their media strategies and achieve campaign objectives. • Analyze campaign data across YouTube, social, and digital platforms to assess performance and effectiveness, providing actionable insights. • Identify key trends, performance drivers, and optimization opportunities, translating complex data into clear recommendations. • Develop and present client-facing reports, including topline weekly, deep-dive monthly, quarterly, mid-campaign, and wrap-up analyses utilizing tools such as Tableau, Dataroma, Looker, Qlic, Metabase, etc. • Collaborate with internal teams to enhance media planning, buying, and optimization strategies based on data insights. • Utilize brand suitability and contextual targeting methodologies to improve media efficiency and brand safety. • Monitor industry trends, advancements in measurement methodologies, and emerging ad tech solutions to keep Channel Factory at the forefront of innovation. • Provide strategic thought leadership and subject matter expertise on data, research methodologies, measurement, and analytical techniques to enhance our capabilities, drive competitive advantage, and bring new opportunities, approaches, ideas, perspectives, etc. to clients. • Mentorship of junior team members • All other duties and responsibilities as assigned.

⚡️ Why Altium? Altium is transforming the way electronics are designed and built. From startups to world’s technology giants, our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. - Constant innovation has created a transformative technology, unique in its space - More than 30,000 companies and 100,000 electronics engineers worldwide use Altium - We are growing, debt-free, and financially strong, with the resources to become #1 in the EDA industry Company Overview: Transforming Sourcing into a Competitive Advantage is the mission of Part Analytics, an Altium Company. Our AI-powered supply management software empowers manufacturing companies to accelerate product development, improve profit margin and uncover hidden risks in the supply chain. About the Role:  We are seeking an experienced Technical Program Manager to join our team and lead our product development initiatives. In this role, you will work closely with the Product Managers to ensure our customers are achieving their desired outcomes and high levels of product adoption. You will collaborate with Product Management, Technical Support, and Product Development teams. Key Responsibilities: Program Leadership - Own end-to-end delivery of complex AI and SaaS initiatives across multiple squads - Define program scope, success metrics, and execution plans in collaboration with PMs and engineering leads - Drive agile rituals (standups, sprint planning, retrospectives) and ensure milestone alignment Cross-Functional Collaboration - Partner with Product Managers to translate roadmap into executable stories - Align engineering, data science, and DevOps teams around delivery goals - Facilitate stakeholder communication across products, support, and leadership Execution Excellence - Identify and mitigate risks, dependencies, and blockers proactively - Track program health via dashboards, KPIs, and status reports - Champion continuous improvement in delivery processes and tooling AI Enablement - Collaborate with ML engineers and data scientists to integrate AI capabilities into core products - Ensure ethical AI practices, model governance, and scalable deployment pipelines - Stay current with emerging AI trends and tools to inform program strategy Required Qualifications: - 8+ years of total experience in software delivery, with 2+ years in a TPM role - Bachelor's degree in technical fields like Computer Science or Engineering. - Strong understanding of SaaS architectures, cloud platforms (AWS/GCP/Azure), and microservices - Experience managing AI/ML product development or data-intensive programs - Deep familiarity with Agile, Scrum, and DevOps practices - Technical fluency in APIs, system design, and cloud infrastructure - Proficiency with tools like Jira, Confluence, Slack, GitHub, and Figma - Excellent communication, stakeholder management, and decision-making skills - Experience in technical project management, software development, or IT project delivery. Preferred Skills: - Experience in B2B SaaS delivery for enterprise clients - Exposure to AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face) - Certifications: PMP, CSM, SAFe, or equivalent - Familiarity with data privacy, compliance, and model governance - Ability to influence without authority and drive outcomes in matrixed environments What We Offer: - A chance to shape the future of AI-powered SaaS products - Collaborative, high-impact teams with a bias for action - Flexible work environment and global exposure India Benefits: ✈️ Annual leave 🤒 Paid sick leave, bereavement leave 👶 Maternity/paternity leave 🎊 Public holidays 🏥 Medical insurance 🚘 Business travel and meal allowance 🧘 nilo.health Employee Mental Assistance Program 🎁 Work anniversary gifts 🥳 Employee referral program 🌍 Remote working abroad program 📚 Professional development support and resources 🥪 Lunch coupons and cafeteria refreshments in the office 🌍 Also, we would like you to know We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. 💡 Learn more about why a career at Altium is an opportunity like no other: https://www.youtube.com/watch?v=cAYCOLpPLPE ✈️ Altium Benefits: https://careers.altium.com/#s-benefits 👏 Are you already an Altium employee? Please apply directly through our internal Greenhouse job board. If you have questions, please contact HR.

• Perform assigned data modeling and analyses under direct supervision • Use data engineering tools to provide meaningful results • Prepare, as directed, accurate and insightful communication of findings using verbal and graphic techniques • Properly apply benchmarks, reviews, and controls to ensure quality and reliability of results • Provide an overview of the respective area and allow learning in the healthcare industry. • Work with reports, queries and extracts using structured query languages (like SQL), spreadsheets (Excel), presentation applications (Word, Power Point) and other business intelligence (BI) tools (PowerBI, Tableau, others) • Gain understanding of the various analytic platforms in support of the Data & Analytics team

• Perform assigned data analysis and technical design under direct supervision • Participate and assist in validating data loads by comparing source to target • Use data engineering tools to provide meaningful results such as data quality checks for accuracy, completeness, and consistency • Partner with cloud data engineers and analytics to help prepare datasets for analytical dashboards • Assist in troubleshooting data discrepancies reported by data consumers • Gain understanding of the various data management tasks and responsibilities to deliver a data driven, cloud centric platform for the enterprise • Participate in scrum meetings, daily standups and design review sessions with the D&A team • Communicate findings, blockers, progress and opportunities for process improvements • Shadow senior team members to understand enterprise data architecture