Senior Manager, IT Analytics & Data Science

Equinix is the world’s digital infrastructure company, operating 240 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. Our culture is based on collaboration and the growth and development of our teams. 

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.

Job Summary Lead IT Product Management and Business Engagement for Data Center (IBX) Analytics, and exploratory analytics. Build analytics products to deliver faster time to insight with delightful data discovery experience aligned with business goals and business outcomes. This role will closely partner with business executives, business subject matter experts, Data Science team, Data Platform, and Data Engineering team.

Responsibilities

Product Strategy

• Develop a Product Strategy in alignment with Strategic business goals, and short term/long term priorities for specific product lines

• Build products with a laser focus on ease of use, time to insights, and a delightful experience to users to drive data driven decision making

• Prioritize product features in collaboration with business sponsors and SMEs. Develop a repeatable framework to measure qualitative and quantitative business value produced by Data products

• Develop, own, and socialize a Product roadmap by balancing short term and long-term customer goals , and IT capacity

• Productize Analytics services such as - Self Service Datasets, Dashboards, Analytics Portals, Insights, Reporting, Data catalogs, Data curation, and governance into tangible products

Product Management

• Be curious, constantly understand “tough questions”, “Use cases” from business stakeholders and translate them into scalable, and intuitive analytic products

• Drive your team to perform exploratory / correlation analysis to unlock opportunities, and engage with business with the context. Drive product capabilities using data insights

• Collect meaningful feedback from end users and incorporate those into features backlog as part of continuous improvement

• Drive AI/ML projects with a close collaboration with Business and Data Science team. Lead hypothesis building, business value proposal, precisely defining ML outcome, use cases, feature definitions, functional validations of models, visualizations, and story telling

• Drive adoption through self explanatory product features along with supporting training and change management

Stakeholder Management

• Drive matured engagement and deepen relationship with the key business stakeholders, and peer IT groups (Apps, Architecture, and Infrastructure)

• Manage and develop a strategic relationship with Software vendors, and SIs.

• Communicate key data stories, run QBRs with business and IT stakeholders

• Set right expectations with crispness and clarity

Team leadership

• Build a team of Product Managers, and Data Analysts. Coach team to bring in Procut Management culture to empathize with end users, and build customer centric product features using agile methodologies

• Coach you team to become Analytic Translator to translate business questions into Analytics products, and a crisp story teller to communicate value to customers

• Translate OKRs from leadership into team level goals. Hold yourself and the team accountable

• Set goals for individual team members, track goals, provide feedback, and help your team achieve their goals

Budgeting

• Track budget for specific product line

• Strategize locations, professional services, FTE, and staff augmentation to optimize the budget ask

Product Interlock

• Coordinates with cross-functional teams to ensure synergies, priorities, and dependencies being part of planning and execution

Qualifications

• 10 to 15+ years of experience leading Data products desired

• Bachelor's in Engineering preferred, Master's degree in Engineering/Business or related is desired

• Demonstrated experience in building data products for multiple business domains

• Experience with building analytics on systems like Salesforce, Marketo, CPQ, Siebel, Network Operations, Oracle or similar

• Demonstrated experience with Exploratory and Diagnostics analytic using statistical techniques like Regressions, correlations, classification, Anomaly detection or Hypothesis testing to drive insights 

• Curious, humble, and and ready to learn next thing and apply it to the real world problem

• Result oriented with an ability to take end to end ownership

• Top notch Presentation and Story Telling skills

• Demonstrated delivering insights by identifying AI/ML needs, and driving data science projects

• Adequate knowledge of statistical methods, ML algorithms, business domain and visualization to lead