Sr Principal, Quantitative Analytics and Data Science
What makes Gartner Research & Advisory a GREAT fit for you? When you join the world’s leading Research & Advisory company, you’ll be part of a team that values curiosity, expert insights, bold ideas and intellectual courage, while driving partnerships with global organizations to make the right decisions on their key initiatives. Through constant learning, discovery and collaboration, you’ll not only help clients accomplish their mission-critical priorities, but also grow your career and the scope of your impact across industries. Our culture demands dedication— and rewards it with opportunity. If you’re always looking for what’s next in business and technology, Gartner is looking for you.
The Sr Principal will play the role of a product manager for all Digital Performance Benchmark (DBP) internal and client-facing tools, and interactives. They will be responsible for working with leaders across the organization, to understand the needs of our stakeholders and clients, gather requirements, maintain existing tools, and prioritize new tools that increase retention and client engagement. They will define the methodology and data sources, as well as collaborate and engage on work generated by the scrum/engineering team in order to ensure most valuable features and functionality are included in the product. The role provides excellent exposure to a full range of topics important to CMOs; to peers in other business units and practices across Gartner and other CoEs, as well as the opportunity to apply and further develop product management knowledge and data visualization expertise.
What you will do:
Be a thought partner on how best to update current manual and weighty processes, based on business strategy and priority
Identify new ways to efficiently and responsibly make data assets available to clients through our tools
Collaborate on trainings/onboardings to ensure content and product documentation is up to date & relevant
Work to off-load current ticket management system, user support and user communication to the scrum/engineering team
Manage through all aspects of the product life cycle - from initial user research to testing and release to ensure timely releases
Track user engagement with the product and suggest ways to reduce analyst and researcher time spent working with data; continuously suggest product optimizations
Take full ownership over Digital Performance Benchmark (DBP) products & tools
Own ongoing feature improvements and scoring updates for the Digital IQ product and all related tools
Collaborate with research, advisory and engineering teams to reduce manual QA effort on teams with product/dashboard solutions
Understand the inner workings & nuances of our existing products/tools, our proprietary data and our partner data; be able to provide support and suggest features improvements accordingly
Manage UAT process for feature/tool roll-outs
Work with key business stakeholders to solidify requirements and priorities, develop a roadmap and ensure timely delivery and acceptance; participate in the Scrum process as well as all Agile ceremonies
For new tools and tool updates: create user stories with detailed requirements and acceptance criteria in Jira.
Prioritize and provide business input on product backlog and identify stories to be refined for each sprint.
Collaborate to ensure effectiveness of the process and accountability of all stakeholders
Establish a positive working relationship with the research, advisory and engineering teams in the US & India
Communicate professionally during stressful situations, resolving problems effectively and positively.
Foresee issues on projects before they occur and raise risks to appropriate parties; proactively create contingency plans and recommend solutions
Serve as an expert on our available data sets
Work withAnalysts and Research team to understand clients’ MCPs (mission critical priorities); suggest solutions within our existing data, validate visualization & interactive proposals
Coordinate with data visualization team to validate data flowing through tools before release
Collaborate with the team on nuanced data needs for new and emerging industries
Own the methodological accuracy of joining multiple data sets
Collaborate with research, advisory and engineering teams to onboard new data sets (internal or external)
Lead and promote best practice in design, execution, process & delivery of benchmarking products
Work closely with management team and peers to build trust, encourage teamwork and drive the highest impact for data tools, interactives and benchmark research
What you will need:
Strong written and verbal communication skills
Strong interest and love of data & data pipelines
Superior customer service ethic and interpersonal skills
Excellent organizational and time management skills and ability to perform gracefully under pressure and meet inflexible or shifting deadlines; ability to context switch
Positive, solution-oriented approach to problems
Availability to perform as part of a team as well as individually
The ability to prioritize effectively & communicate with stakeholders at various levels
College degree in a related discipline
5+ years of experience at a leading research / data analytics / BI / consulting firm
Experience in quantitative and business analytics and data visualization best practices
Expertise with Microsoft Office (Word) and G Suite (Google Docs, Google Sheets)
Experience using Project Management tools such as Pivotal Tracker, Jira or Asana
A willingness to be flexible as product needs and priorities change/evolve over time
Excel, SQL & Tableau knowledge is a plus
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