Rounding up career decade 1 and spent quite a bit of time in consulting/MBB and venture building.
Transitioned to Product Strategy in Tech but stagnating so looking at Group PM or Head of Product Analytics
Current product org has 15-20 PMs/Leads but no GPM. Product analytics is 0 people and completely untouched capability in the company.
So I’m Leaning towards Product Analytics — inspiration is Crystal Widjaja
Regardless of the position, I expect a significant ramp up
https://www.linkedin.com/in/crystalwidjaja
TC: 160k (in EU)
YoE: 10 (4 in Product)
Want to see the real deal?
More inside scoop? View in App
More inside scoop? View in App
blind
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
FOLLOWING
Industries
Job Groups
- Software Engineering
- Product Management
- Information Technology
- Data Science & Analytics
- Management Consulting
- Hardware Engineering
- Design
- Sales
- Security
- Investment Banking & Sell Side
- Marketing
- Private Equity & Buy Side
- Corporate Finance
- Supply Chain
- Business Development
- Human Resources
- Operations
- Legal
- Admin
- Customer Service
- Communications
Return to Office
Work From Home
COVID-19
Layoffs
Investments & Money
Work Visa
Housing
Referrals
Job Openings
Startups
Office Life
Mental Health
HR Issues
Blockchain & Crypto
Fitness & Nutrition
Travel
Health Care & Insurance
Tax
Hobbies & Entertainment
Working Parents
Food & Dining
IPO
Side Jobs
Show more
SUPPORT
FOLLOW US
DOWNLOAD THE APP:
comments
but on a more serious note, I do expect to massively ramp-up in DS/A skills and statically knowledge to actually pull this off. if that doesn’t actual happen as part of my plan (assuming Analytics) then I’m destined to fail
I’m confident, that In big tech, there’s no way I can skate by on BS and nor do I actually want to go to bad with intelligent+capable people. Might as well give me a loaded gun and ask me to play Russian roulette
Analytics team is the bridge between data engineering and product teams. You have your strength with the product team already but might need some exposure to data technicalities as well. It looks rosy but it’s really difficult to scope out the projects and set expectations even with a data background.
Group PM > Head of PA
Head of PA is way more work than Group PM and it’s not as rewarding.
If you don’t know experimentation and don’t have a statistics background then I would go with PM. It also has higher upwards trajectory.