• Own the product vision for our core technical platform, ensuring it is highly performant, secure, and provides an unmatched developer experience (DX). • Live in the product daily - dogfooding APIs, deploying test environments, catching regressions early, and validating the end-to-end user journey firsthand. • Maintain and develop reference applications and infrastructure-as-code templates that double as showcase demos for clients and living regression tests for engineering. • Build proofs-of-concept and prototypes utilizing the latest AI capabilities and LLMs to validate new feature ideas before committing engineering resources. • Manage and adapt the roadmap across immediate feature releases, medium-term platform integrations, and long-term architectural initiatives. • Align product planning with engineering sprints, infrastructure upgrades, and the complex constraints of enterprise client deployments. • Define clear problem statements, success criteria, and technical scopes, then collaborate closely with engineering leads to design the right solutions. • Champion our core user personas (Data Engineers, DevOps, Enterprise Developers, ML Engineers) and prioritize solving their biggest pain points, from clunky integrations to slow deployment cycles. • Run a consistent pipeline of user interviews with technical stakeholders to ground your roadmap decisions in real-world workflows. • Coordinate cross-functionally with engineering, data science, marketing, and sales architecture teams.

Role Description The Content organization is responsible for identifying, creating, licensing, and integrating best-in-class unstructured and structured data that is both self-sourced and from third-party content providers. The Content teams report to the Chief Content Officer and have strategy, product management, content operations, and support responsibilities for each Content vertical. We have been experiencing a rapid growth cycle across all content sets, including Events & Transcripts. We value and uphold transparency, trust, and accountability in our relationships within the team and with external and internal stakeholders. Qualifications - 10+ years of experience in content strategy or operations related to financial data, including at least 5 years of product management experience. - Strong preference for candidates with specific experience in events & transcripts data curation. - Expertise in investment research and analysis, including firsthand knowledge of transcripts usage in the investment industry. - Strong problem-solving and decision-making abilities, with a results-oriented mindset applicable in the data collection required to support new content sets and functionality. - A track record of thriving in a fast-paced and dynamic environment, managing multiple priorities and geographically dispersed teams and stakeholders effectively. - A demonstrated history of successful delivery of content and related functionality from initial requirements gathering to release using iterative/agile development methodologies. - A superior ability to set priorities, stay focused, and meet deadlines. - Expertise in Microsoft Excel and proficiency with a database query language (e.g. SQL). - Masters in Commerce or business degree with a strong academic record. Chartered Accountant or Chartered Financial Analyst certification is a significant plus. Requirements - Functional ownership of the Events & Transcripts content data pipeline overseeing key aspects of tool development to support content collection, production, and integration: defining and refining business requirements, sourcing, methodology, policies, and data integrity processes. - Refining collection and deduplication tools & techniques in close collaboration with engineering to understand and optimize costs, automation opportunities, and timelines for all aspects of implementation and the ongoing events & transcripts content operation. - Participate in regular team meetings and performance reviews to assess progress, address challenges, and identify opportunities for growth and development. - Contribute to the successful launch of events & transcripts content into the market, including contributing to the creation of announcements, marketing collateral, documentation, user training, and internal training. - Serve as an escalation point for data integrity and methodology issues. - Track industry and competitive trends and deliver competitive intelligence to better evolve product vision and market positioning. Company Description AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. In this role, you will have the opportunity to contribute to developing a cutting-edge Revenue Growth Management solution with enhanced AI capabilities. You will play an instrumental part in owning the technical functionalities of initiatives, leading data engineers, front end developers and collaborating with architects to drive the overall RGM solution while collaborating with business teams and stakeholders. How you will contribute Our team is at the forefront of driving AI, data, and analytics across Mondelez. As a North America Trade Promotion Management Product Owner within the Mondelez Data & Analytics team, you will oversee the team as they work towards the following objectives: - Build/evolve tool and processes to ensure accuracy, robustness, and reliability of data in our solutions. - Develop/scale new capabilities through reusable data products in reporting for Trade Promotional Management and Event Analytics. - Create seamless user experience supported by automated dashboards tailored to different audiences/power users across multiple business functions. - Define and execute continuous improvement mindset on dashboards and data models based on insights from testing and user feedback. - Implement new RGM solution across our customer base to maximize joined growth. - Build tech-enabled AI products that enhance key RGM levers and provide new capabilities to our commercial organization What you will bring - Experience working on teams to design and develop data models with high-quality data flow. - Passion for using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting. - Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals. - Experience leading technical teams and collaborating with stakeholders between business and IT Data & Analytics functions. JOB REQUIREMENTS - Oversee the day-to-day technical development of the solution, creating strong alignment in the working team to achieve goals. - Utilize market and industry knowledge to translate user needs into functional requirements, user stories, acceptance criteria, and requirements for their team. Maintain a prioritized backlog, staying multiple sprints ahead of the team. - Define critical metrics that determine the success of your products and develop a deep understanding of your product's performance. - Validate the weekly progress of the technical teams and lead business user tests, ensuring product quality before the product gets into the hands of the internal customer. - Set detailed planning per initiative and help resolve any arising bottlenecks. - Lead iterative testing phases of the RGM solution, incorporating feedback and ensuring continuous learning for solution enhancement. SPECIFIC SKILLS AND EXPERIENCES - Bachelor's degree in information systems/technology, Business Analytics, or a related field. - 5+ years of work experience in Data Analytics required. - Strong understanding of the software development lifecycle and experience working closely with data engineering & reporting development teams. - Experience in promotion and trade planning (Trade Promotion Management (TPM) data is a big plus. - 3+ years of Product Development experience (acting as Product Owner) or 3+ years working in CPG RGM (Promotion, Pricing, PPA, trade management) - Experience with Google Cloud (GCP) - Able to thrive in uncertainty and comfortable with a high degree of ownership and bias for action. - Strong technical proficiency/quantitative background delivering data and analytics projects. - Highly proficient in Excel and PowerPoint. - Experience with version control systems (e.g., Git) and CI/CD pipelines. - Familiarity with agile methodologies (e.g., ceremonies, writing user stories). GOOD TO HAVE SKILLS AND EXPERIENCES - Experience delivering transformational projects with solid change management requirements. - Working knowledge of syndicated data (Nielsen/IRI or other EPOS/Retail Sales data source) - Passion for technology and wanting to stay updated with industry trends and emerging technologies. - Knowledge of SQL and programming languages (e.g., Python). - Knowledge of Tableau and Power BI - Knowledge of AI/data principles (e.g., ML algorithm selection, data architecture principles, familiarity with cloud technologies, etc.). - Master's degree or higher in a relevant field, such as Data Science, Artificial Intelligence, or Machine Learning. - Experience in setting up and monitoring AI models in production. - Familiarity with privacy regulations and best practices in data management, especially in the context of AI solutions. Salary and Benefits: The base salary range for this position is $97,300 to $133,815; the exact salary depends on several factors such as experience, skills, education and location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company. No Relocation support available Business Unit Summary The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country. Mondelēz Global LLC is an Equal Opportunity Employer/Protected Veterans/Persons with Disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance. For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal Job Type Regular Analytics & Modelling Analytics & Data Science

• Lead complex, cross-functional technical programs spanning hardware, infrastructure, IT systems, and operational readiness. • Work closely with engineering, construction, operations, IT, and commercial teams to ensure alignment on objectives, dependencies, timelines, and resource needs. • Bring clarity and structure to complex workstreams by defining program plans, success criteria, and execution frameworks. • Create and maintain repeatable, scalable systems and processes, balancing long-term operational excellence with short-term pragmatism. • Identify and manage risks, drive mitigation plans, and ensure timely escalation of critical issues. • Build strong relationships with stakeholders at all levels to foster trust, shared ownership, and transparent decision-making. • Ensure all teams understand roles, responsibilities, and expectations, creating shared clarity around deliverables and the program’s strategic direction. • Facilitate effective communication, ensuring technical concepts are translated appropriately for diverse audiences. • Drive operational readiness, coordinating with technical and non-technical teams to ensure hardware, infrastructure, and IT systems are prepared for deployment. • Track and report on program progress, using data and narrative to clearly communicate status, decisions, and risks to leadership. • Promote a culture of accountability and continuous improvement across teams involved in program execution.