Capability Checklist

establish capability roadmap, talent analysis and financial model

design software architecture based on IEEE body of knowledge

develop data platform with DataOps, MLOps and DevOps by best practices

govern operation with metrics and compliance in ISO standard

capability roadmap with financial model, domain LOB, valuation, priority (build vs buy)

budget forecast for hiring by talent role, cloud, software, opex, capex.

alignment plan for Goal, KPI & OKR, compensation by skill, reward by team

working model for POD lifecycle

system architecture & software design

devops, devsecops, dataops, MLops, finops

Prioritization for in-take initiative using value vs feasibility matrix

funding scope, technology blueprint

create north star distribution for business valuation

create objective alignment: from operation metrics to business critical success factor

create capability roadmap: foundation capability, domain capability by quarter against with financial EBITDA/cash flow

perform talent analysis and hiring plan

establish career path, Job description for each technical role

forecast budget for cloud service, software and capex and opex.

forecast funding on buy vs build outsource vs build in-house

user journey by layer: UX, Application, Backoffice, Data, Infrastructure

establish overall system architecture

define Software architecture & operation pipeline

define Data architecture & operation pipeline

define Machine Learning architecture & operation pipeline

define Cloud infrastructure & operation pipeline

vision, alignment, commitment

domain-based approach, prioritizing domain

build capability: foundation, scoping, partnering

digital roadmap as contract to c-suite

leaders of business line, business function

resources: pod, talent analysis

core vs non-core capabilities: talent gap

talent team to build digital team

adjust compensation for skill

use tech competency marker in performance management

fostering craftsmanship excellence: career path, learning journeys

being agile pod, building blocks, product management

customer experience designs

pipeline automation, evolving, real-time data processing cloud native, FinOps

engineering practices: devops, maintainability, CI/CD, tooling

control, audit, scalable, available, monitoring, observability

DevSecOps

data product, data pipeline, architecture, data capability,

MLops: AI scaling

user adaption

replication, modularity

KPI

risk, policy, trust

culture