Data and analytics talent: Managing the workforce of the future
summary
TD describes concrete moves: a cloud migration to lift the data analytics platform, an acquisition of Layer 6 to inject advanced ML expertise, and formal campus internship and rotational associate programs to seed talent. Hiring emphasizes storytelling, Python and product-thinking as analytics teams shift toward AI‑driven products and analytics-as-a-product. Remote-first work widens hiring beyond Toronto, and agile ways of working speed delivery; ethics in AI and business context ownership rank as nonnegotiable skills.
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chapters (11)
- 0:00Start
- 1:01Introductions
- 2:59Adrian Locke
- 5:16What Were some of the Challenges in You Pursuing a Career within Data and Analytics
- 23:16Where Do You See the Future of Data and Analytics
- 24:04Skills That Are Required
- 25:23How Do You See the Future of Dna
- 32:22Any Good Advice for Someone Who Wants To Switch Career and Join with the Financial Industry
- 36:18What We Look for for Leadership Talent
- 39:08What Td Looks for in a Leadership Role
- 40:06Financial Crisis
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