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Grade ( relevant for internal applicants only ): 11
Location: S&P Global Platts | 55 Water Street - 37th Floor | New York, NY 10041
The Team: As part of the Digital Platform and Enterprise Delivery Team, you will deliver the data flow strategy with ground floor innovation through simplification and abstraction of complex data processes across the business. Digitizing Platts by focusing on Machine-to-Machine interaction, this cross-functional team provide APIs for raw data delivery, streaming functions for real time, and bulk delivery for voluminous requests. We deliver content and analytics to internal platforms and direct to external consumers where, when and how it's needed.
The Impact: Platts creates over 10,000 daily assessments used for 1,500+ cleared financial instruments that transact in excess of $10 billion every day. We stream over 20,000 bids, offers and trades a month from more than 450 of the top commodity trading companies globally. Furthermore we track 60,000 plus vessels live, create over 1,000 weekly reports, monitor nearly 90% of the world's refineries and much, much more. In a nutshell, we have a lot of data. The role offers unrivaled exposure to the real time commodity markets, a unique perspective on how this data is valued across all walks of business, and the ability to shape and build the future of this data flow. As the cornerstone of analytics, exposure to knowledge graph and AI technologies gives the role tangible depth in real world application of this data.
Interact directly with clients to understand, define, iterate and evolve data delivery roadmaps and requirements as the commodity markets evolve
Bring new Machine-to-Machine data products to market by hands-on management of the full range of product design and delivery, with rigorous assessment of feasibility and commerciality
Develop and deliver improvements for existing Enterprise Delivery products and execute these by navigating change internally through the organization
Undertake competitor research and build contacts in the industry in order to provide market intelligence and to benchmark products
Insist on a consistent, scalable and sustainable structures across all delivery mediums preventing silo developments for individual downstream consumers
Build a broad and effective internal network and engage stakeholders in order to facilitate development and delivery of products
Define success metrics, use data to drive decision-making and present both financial and technical points of view to c-suite
Write user stories and executable requirements, process flow diagrams, and acceptance test criteria, overseeing quality assurance and deployment
Lead sprints to build and refine data products, partnering with the engineering team on short-cycle design and scrum interactions, meeting dates against objectives and deliverables, driving decisions and escalating appropriately
Participate on a consumer-developer communication forum including: sharing the roadmap, public issue trackers, clear release notes and change logs, etc.
Evangelise a simplification agenda with: novice compatible documentation, plain development practices, consistent and centralized data delivery platform, etc.
Willingness to travel as required, c. 30% of time may be travel
Encourage a Self-Service approach by providing input into entitlement and making our products more approachable and easy to use
What We're Looking For: We are seeking a Product Manager with demonstrable experience in FinTech, professional services or the derivatives trading community and a focus on Machine-to-Machine delivery. Engaging consumers at a business and data level to understand their needs, you bring the clients' data requirements to the development team. You articulate, define and prioritize product features, and manage stakeholders to realize the maximum value of the data consumed by client machines. This person will be held accountable for execution. Tangible deliverables and measurable success are common in your past. You are able to demonstrate experience of successful delivery on scope, on time, and on budget.
5-7 years product experience at global FinTech, cloud or comparable data delivery or consumption company with client exposure
Extensive experience in front office trade analysis/trade support/risk management capacity in global commodity trading organization OR experience at a commodities front office decision support/market data/analytics vendor. Direct experience of trading technologies and knowledge of one or more tradable asset classes is essential
Working knowledge of derivatives trading and the resulting client data expectations and requirements is critical
Exposure to real time platforms such as Apache Kafka and familiarity with the Kong stack of API tools a bonus
Bachelor's degree or equivalent experience in technical or science major
Experience with both Agile and Lean methodologies
Strong experience in bringing products to market, including feasibility assessment and testing, negotiating development through a large, highly-matrixed organisation and delivering commercial results
Advanced project management and PMO skill-set, able to move seamlessly between strategic and operational takes and balance complex and demanding work streams
Customer-first mind-set with ability to understand and act on customer insight, generate new product and service offerings ideas based on customer interactions
Strong analytical and quantitative skills with the ability to link product design and features to strategic objectives while using data and metrics to substantiate assumptions and recommendations
Diplomacy and tenacity when managing and communicating with stakeholders at all levels of business alongside a firm ability to assume positive intent
Strategic approach to problem resolution as well as the ability to develop and communicate a sound plan