{"id":1243079,"url":"https://alion.io/job/rbc-manager-data-engineering-and-analytics","title":"Manager, Data Engineering and Analytics","company":{"id":1757835,"name":"Royal Bank of Canada","domain":"rbc.com","url":"https://alion.io/company/rbc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":183000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"BigQuery","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Hadoop","optional":true},{"name":"Scrum","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-09-26T20:03:09Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Job Description\nWhat is the opportunity?\nAs a Manager, Data Engineering and Analytics within GFT's HR Information Technology, you'll be the technical driver delivering foundational data infrastructure and automated solutions that power incentive compensation and HR analytics. Working closely with HR partners, solution architects, and development teams, you'll translate operational requirements into robust data pipelines, data models, and automated workflows moving beyond analysis into building scalable data solutions. You'll combine business acumen with hands-on engineering to design and implement the data layer that enables AI/ML initiatives, advanced analytics, and data-driven decision-making.\nThis role requires strong technical leadership, business understanding, and the ability to deliver data solutions that directly enable business outcomes.\nWhat will you do?\nLead End-to-End Business & Systems Analysis for data engineering and AI-driven projects conduct requirements gathering, gap analysis, process mapping, and develop functional specifications that translate operational problems into data solutions\nDesign & Validate Foundational Data Layers - Partner with engineers to define data architecture, design data models, ensure data quality, map data lineage, and validate that data pipelines feed accurate, trustworthy information to ML models and analytics platforms\nBuild & Optimize Data Pipelines - Write SQL, design ETL/ELT workflows, and implement automated data pipelines to consolidate siloed data, replace manual processing, reduce errors, and improve efficiency across compensation and HR systems\nQuery & Analyze Data Independently - Write production-quality SQL to explore data from multiple sources, profile data quality, identify integration needs, and validate data integrity across complex systems\nSupport AI/ML Solution Development - Translate business rules and operational logic into structured data requirements, validate model outputs for accuracy and reliability, and ensure data solutions reflect business intent and governance standards\nDesign Automated Data Processing Workflows - Architect and implement automated solutions to replace manual processing, enable real-time analytics, and support scalable reporting across multiple data sources\nBridge Business & Technical Teams - Serve as connective tissue between operational stakeholders, business teams, and engineering-translating process knowledge into technical specifications and communicating progress to non-technical audiences\n Document Data Infrastructure & Governance - Produce clear technical documentation (incl. data dictionaries, process flows, system maps, business rules, data lineage) that provides institutional memory and supports governance as the data platform scales\nIdentify Process & Efficiency Opportunities - Continuously analyze business processes to identify automation opportunities and recommend data-driven improvements that leverage analytics and AI capabilities\nWhat do you need to succeed?\nMust Have:\n5-7 years of professional experience in data engineering, data analytics, business analysis, or related role with demonstrated technical and analytical capabilities\nAdvanced technical expertise - Mastery in writing complex, high-performance SQL with query optimization, indexing strategies, and execution plan analysis; ability to embed optimized SQL into Python and scripting languages; proven ability to architect, build, and deploy end-to-end data pipelines with tools like dbt or Airflow\nData design & modeling - Experience designing dimensional models, star schemas, and other data structures that support analytics and reporting; comfortable with both batch and real-time data ingestion patterns\nAI/ML literacy and data-driven thinking - Understanding of how AI/ML systems work, including good training data, model validation approaches, and business rule translation; demonstrated drive to identify manual processes and replace them with scalable, automated solutions\nBusiness acumen & communication - Proven ability to analyze and redesign business processes; translate complex technical concepts for diverse audiences; excellent stakeholder management and clear written communication skills\nNice-to-have\nExperience with advanced data and analytics platforms (Databricks, Hadoop, MongoDB, Snowflake, BigQuery, Redshift)\nFinancial services or regulated operational environment exposure and experience with enterprise HR/compensation systems (Workday, SAP S4/HANA, SAP SuccessFactors)\nGreenfield or platform-building project experience with Agile Scrum delivery\nData engineering or analytics certifications (AWS Data Engineer, Google Cloud Data Engineer, or equivalent)\nWhat’s in it for you?\nWe 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.\nA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable\nLeaders who support your development through coaching and managing opportunities\nAbility to make a difference and lasting impact\nWork in a dynamic, collaborative, progressive, and high-performing team\nA world-class training program in financial services\nFlexible work/life balance options\nOpportunities to do challenging work\nOpportunities to take on progressively greater accountabilities \nOpportunities to building close relationships with clients\nAccess to a variety of job opportunities across business and geographies\n Job Skills\nBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements AnalysisAdditional Job Details\nAddress:\n20 KING ST W:TORONTOCity:\nTorontoCountry:\nCanadaWork hours/week:\n37.5Employment Type:\nFull timePlatform:\nTECHNOLOGY AND OPERATIONSJob Type:\nRegularPay Type:\nSalariedPosted Date:\n2026-06-12Application Deadline:\n2026-10-02Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above\nOur Employment Opportunities\nAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.\nJoin our Talent Community\nStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.\nExpand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.\nRBC 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.","description_format":"text","description_chars":7580,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T16:58:10Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.682,"p_room":0.45,"age_days":12,"expected_fill_days":7,"reasons":["conf:3","win:tail","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rbc-manager-data-engineering-and-analytics","json_url":"https://alion.io/job/rbc-manager-data-engineering-and-analytics.json","meta":{"generated_at":"2026-09-27T00:58:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":880,"day_limit":5000,"remaining_today":4120,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}