Director, Data Engineering

Royal Bank of Canada • Jersey City, NJ

1d • $210,000 - $275,000

About The Position

What is the opportunity? Explores and operationalizes big data sources using scientific processes and technologies to uncover and communicate product and business insights. Manages activities through senior managers and managers and implements corporate and divisional strategic plans and budgets. What will you do? Developing predictive data models, quantitative analyses and visualization of targeted, big data sources. Overseeing the acquisition and ingestion of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data. Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques). Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques. What do you need to succeed? Must have: Degree in related discipline 10+ years related experience Strong communication skills Strong leadership skills What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Flexible work/life balance options Opportunities to do challenging work RBC Is Presently Inviting Candidates To Apply For This Existing Vacancy. Applying To This Posting Allows You To Express Your Interest In This Current Career Opportunity At Rbc. Qualified Applicants May Be Contacted To Review Their Resume In More Detail. The Expected Salary Range For This Particular Position Is $210,000 – 275,000 Depending On Your Experience, Skills, And Registration Status, Market Conditions And Business Needs. You Have The Potential To Earn More Through RBC’ S Discretionary Variable Compensation Program Which Gives You An Opportunity To Increase Your Total Compensation, Provided The Business Meets Its Performance Targets And You Meet Your Individual Goals. RBC’ S Compensation Philosophy And Principles Recognize The Importance Of A Highly Qualified Global Workforce And Plays A Critical Role In Attracting, Engaging And Retaining Talent That: Drives RBC’s High-Performance Culture Enables Collective Achievement Of Our Strategic Goals Generates Sustainable Shareholder Returns And Above Market Shareholder Value

Requirements

• Degree in related discipline
• 10+ years related experience
• Strong communication skills
• Strong leadership skills

Responsibilities

• Developing predictive data models, quantitative analyses and visualization of targeted, big data sources.
• Overseeing the acquisition and ingestion of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data.
• Leading data exploration and analytic projects and providing on-going coaching of big data topics (visualization, data mining, analytic techniques).
• Exploring and implementing semantic data capabilities through NLP, text mining and machine learning techniques.

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees