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Technical Program Manager's Handbook

Technical Program Manager's Handbook

By : Joshua Alan Teter
5 (3)
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Technical Program Manager's Handbook

Technical Program Manager's Handbook

5 (3)
By: Joshua Alan Teter

Overview of this book

The role of the Technical Program Manager (TPM) is crucial in the tech industry, bridging the gap between technical expertise and business acumen. The second edition of the Technical Program Manager’s Handbook offers a comprehensive guide to excelling in this role. Building on the foundational concepts from the first edition, this updated version introduces new chapters that explore the integration of AI and Emotional Intelligence (EI) in program management. These crucial additions complement the broader focus of the book on bridging business and technology but don’t overshadow it. You'll learn how to apply AI-driven tools to enhance project planning, risk management, and stakeholder communication, as well as how to leverage EI to build strong team relationships and improve leadership effectiveness. This book provides practical tools, methodologies, and case studies, offering insights from industry leaders to help both aspiring and practicing TPMs apply advanced concepts and strategies effectively. It also explores the unique aspects of the TPM role in major tech companies, helping you to navigate and thrive in your career. By the end of this book, you'll have a clear understanding of the TPM role, along with a breakdown of the necessary technical and program management skills, to develop a clear roadmap for your career.
Table of Contents (21 chapters)
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Free Chapter
1
Section 1: What Is a Technical Program Manager?
5
Section 2: Fundamentals of Program Management
13
Section 3: Technical Toolset
19
Other Books You May Enjoy
20
Index
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Index

A

above the fold concept 172

abstract class 236, 237

abstraction 236, 259

active listening 13

adapter pattern 249, 250

adjacent role

switching to 63, 64

agile methodology 112

AI tools

AI for stakeholder management and communication, using 305, 306

AI in project planning, utilizing 299-303

AI in risk management 303, 304

capabilities and limitations 288-297

communication gaps, bridging in software development 307-311

exploring, in key management areas 299

ambiguity, in problem and solution 91

real-world examples 92

Application Security (AppSec) 220

architecture landscape

examining 273-276

arrays 241

Artificial Intelligence (AI) 281

availability 267

B

big O notation 240

builder pattern 245, 246

business intelligence engineer (BIE) 52

Byte Pair Encoding (BPE) 293

C

C# 154

capacity-constrained prioritization 126

career paths

individual contributor path...

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