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The Data Leader's Secret Weapon: The Deprecation-First Rule for Managing Technical Debt - Insight Extractor - Blog
Technical debt has evolved from a developer’s headache into a strategic business crisis. If you’re a data leader drowning in unused dashboards, outdated models, and forgotten pipelines, you’re not alone. According to recent research, organizations are spending 30% of their IT budget on technical debt while allocating 20% of their IT resources just to manage…
Rise of Super IC - Insight Extractor - Blog
The Old Data Playbook Is Dead. It’s Time for the Super IC. When I took over data at Opendoor 3 years ago, I walked into a classic problem: a lot of smart, junior people spread way too thin. Everyone was solving the same problems in their own little corners. It was organized chaos, with duplicated…
[Video] Building Sustainable Data Led Organizations - Insight Extractor - Blog
I presented at Select Star’s Inner Join Forum on “Building Sustainable Data Led organizations”. Session Overview: 🚨 Data isn’t the hard part. Sustaining its impact is. Too many data teams succeed in shipping dashboards but stall when it comes to lasting influence. Why? Because impact doesn’t scale without intention. At the next Inner Join, I’m…
The Interview Mistake I’ve Seen in 1000+ Interviews Even Smart Candidates Make - Insight Extractor - Blog
After taking >1000 interviews for data roles, I’ve noticed one pattern that separates good candidates from great ones. Great candidates don’t just talk about the project they’re most excited about. They talk about the project I (as the interviewer) care about. Here’s what I mean. Years ago, before Microsoft acquired LinkedIn, I interviewed there. I…
Ad-Hoc Requests: How Great Data Teams Turn Noise into Influence - Insight Extractor - Blog
You’re deep in flow and a Slack ping lands: “Hey, could you pull last quarter’s retention by city. Need it for a board deck in two hours.” Most teams groan. The best teams turn that chaos into influence and measure the win. First, Remember the Upside When your inbox floods with urgent requests, remember: The…
Stop Losing the Room: Turning Data Insights into Decisions - Insight Extractor - Blog
You can spend hours perfecting a model, only to watch your slides or docs fall flat. Let’s fix that. Key Takeaway (60‑Second Version) Read these three lines, apply them, and your next presentation will connect. Where Things Go Sideways and How to Recover Opening with model architecture Hiding the insight on slide 14 or page…
How Data Leaders Can Actually Enable Enterprise AI - Insight Extractor - Blog
If you’re a data professional like me, you’re probably hearing “Enterprise AI” at least ten times a day. But let’s be honest, what does it really mean? And more importantly, what should we actually be doing about it? Here’s something I’ve learned, often the hard way. Enterprise AI is fundamentally different from consumer AI because…
Punch Above Your Weight from Day One: 5 Impact Plays for First‑Time Data Leaders - Insight Extractor - Blog
1:1’s, psychological safety, clear goals, timely feedback are tablestakes and assuming, they are already in your bag. What turns a brand‑new data manager into someone execs can’t live without are the high‑leverage moves below. Steal them and start earning oversized returns on a tiny team. 1. Turn Vague Requests into Testable Bets What to do:…
Building Data-Led Companies with the 3 P’s Framework - Insight Extractor - Blog
The conversation in the data world is evolving. Today, being “data-led” means using data as your compass, not just your engine. Data-led organizations don’t blindly follow the numbers. Instead, they let data inform, inspire, and challenge their thinking, while also leveraging experience, context, and strategy. The 3 P’s framework—People, Platform, and Process—offers a practical way…
🧠 “Critique Me, Please” — The Most Underrated Way to Accelerate Your Data Science Career - Insight Extractor - Blog
Most data scientists spend years getting better at modeling, coding, and building dashboards. But many hit a plateau because they overlook something just as important: getting feedback early and often. If you want to grow faster, build smarter, and avoid painful mistakes, you need to share your work before it’s perfect. Not after it’s launched.…
Why Your Amazon-Style WBR Isn’t Working (and How to Fix It) - Insight Extractor - Blog
Ever try to replicate Amazon’s famous Weekly Business Review (WBR), only to find it eats up hours and yields little action? You’re not alone. A WBR can be a game-changer when done right. But without the right structure, ownership, and preparation, it quickly becomes yet another meeting everyone dreads. Below are the most common reasons…
Stop Firefighting: Why Data Scientists Must Get Strategic—Or Get Left Behind - Insight Extractor - Blog
Data scientists love solving problems. But too many get stuck in a reactive loop—putting out fires, answering last-minute data requests, debugging models, and chasing short-term fixes. The real work? The game-changing, business-shifting, needle-moving work? That takes a proactive approach. And in a world of Generative AI, if you’re still in firefighting mode, you’re in trouble.…
Structuring a High-Impact Data Team: Centralized vs. Decentralized Models - Insight Extractor - Blog
When building a modern data function, few questions spark as much debate as whether to centralize your data professionals under one umbrella or to decentralize them across various departments. Both approaches have their merits, but in practice, many growing organizations discover that a centralized model—possibly with light embedding when needed—delivers the most consistent, high-impact results.…
No Suit Required: The Modern “Dress for the Job You Want” for Data Pros - Insight Extractor - Blog
“Dress for the job you want” has evolved from literal wardrobe choices to a broader concept: Act like you already have the role you aspire to—demonstrate the mindset, behaviors, and leadership you’d show if that promotion (or dream job) was already yours. This mentality shift not only changes how others perceive you, but also how…
ALL THINGS DATA NEWSLETTER #17 - Insight Extractor - Blog
(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/) This newsletter aims to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll share articles from various sources I found interesting. The following 5 articles/videos made the cut for today’s newsletter. 1. Data Contracts 101 by Aurimas Griciūnas…
All things Data Newsletter #14 (#dataengineering #datascience #data #analytics) - Insight Extractor - Blog
(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/) The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles made the cut for today’s newsletter. (1) Analytics…
3 prioritization frameworks - Insight Extractor - Blog
Time and energy are finite resources and it’s important to use them effectively and efficiently. This requires having a good prioritization framework. In this post, I’ll share 3 frameworks that I have frequently used to prioritize. 1 Eisenhower Matrix. Urgent vs Important matrix 2 Cost Benefit Matrix. A similar 2×2 matrix that is equally relevant…
What does Analytics People Manager spend their time on? - Insight Extractor - Blog
Few folks recently asked me on where do I allocate my team as a people manager of a double-digit (10+) analytics (data engineers, BI engineers, data science) team at Amazon. There are 5 buckets and the allocation varies week to week depending on priorities: People management activities: This bucket includes tasks where you work backwards…
Framework for onboarding as an Analytics leader in a new team: - Insight Extractor - Blog
1. Start with people: On a new team, start with meeting people. This includes your team, stakeholders and cross-functional partners. Ask them about the company, product, team, help they need and seek advice. Understand the career growth plans for every member of your team. 2. Understand product/company: Read docs. Ask questions (lots of them). Attend…
Three stories about my managerial journey published on Plato - Insight Extractor - Blog
I wanted to share 3 stories that Plato (engineering leadership mentorship platform) recently published about my managerial journey. It captures some learnings in career growth, productivity, team process and sharing the team vision. Links below. (1) How to drive a team vision as First-time manager? Paras recalls how he successfully drove a team vision as…
All things data newsletter #12 (#dataengineer #datascience) - Insight Extractor - Blog
(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/) The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles made the cut for today’s newsletter. Why dropbox…
Making your engineering team more data-driven - Insight Extractor - Blog
Background: In December 2020, I was invited to lead a group discussion as part of Plato circles. The topic that I chose was “Making your engineering team more data-driven” and we had such a good discussion over 3 sessions as a group that I decided to open-source our notes. Please find them below. Index: In…
All things data newsletter #13 (#dataengineer #datascience) - Insight Extractor - Blog
(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/) The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles made the cut for today’s newsletter. (1) The…
All things Data Newsletter #15 (#dataengineering #datascience #data #analytics) - Insight Extractor - Blog
(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/) The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles made the cut for today’s newsletter. (1) Scaling…
All things data newsletter #16 - Insight Extractor - Blog
(if this newsletter was forwarded to you then you can subscribe here: https://insightextractor.com/) The goal of this newsletter is to promote continuous learning for data science and engineering professionals. To achieve this goal, I’ll be sharing articles across various sources that I found interesting. The following 5 articles/videos made the cut for today’s newsletter. (1) Data…