USPS / 2017 DDDS RECOMPETE
Part of the team that won the prime.
I co-presented the recompete with the CEO. OPTiMO won the prime contract, building on our work across USPS digital services.
My role and program background →GINO MOTISKO / APPLIED AI PRACTICE LEADERSHIP
Lead the practice.
Know the work.
I lead AI consulting work, shape client commitments, and build teams that can deliver them.
I connect the objective, the expertise, and the decisions that move work forward. I delegate with clear ownership, review what comes back, and adjust when the evidence changes. That same thinking shapes the AI systems I design.
THE ART OF ORCHESTRATION
How I lead informs
what I build.
Explore the connection between leadership and agentic architecture.
Choose a perspective. Explore the decisions.
LEADERSHIP OUTCOMEA direction the client and team can defend.
People bring judgment. Leadership creates the conditions for it.
SELECTED CLIENT & DELIVERY ENVIRONMENTS
Federal missions. Global enterprises. Experience across my career.
USPSPostal services
ServiceTitanService software
DHSHomeland security
DOI / BLMLand management
PennDOTTransportation
PeratonFederal delivery
IHGHospitality
PRG-SchultzEnterprise services
IBMEnterprise technology
Lotus ConsultingEnterprise collaboration
100+
Organization-wide operational remit
OPTiMO, 2011–2025: business operations through practice leaders, distinct from direct reports.10+
Direct reports at peak
Including leaders with responsibility for their own teams.~44%
Company revenue growth during my tenure
OPTiMO, 2011–2025: a federal consulting firm reaching $18M+ in revenue.A FEW THINGS I’VE HELPED MAKE HAPPEN
Winning the work.
Building the capability.
CMMI DEVELOPMENT LEVEL 3
Led the implementation behind the achievement.
I led the operating process, supporting tools, training, and audit preparation that put the capability into practice.
The operating work behind it →01 / JUDGMENT UNDER PRESSURE
The decisions behind
a healthy practice.
Forecasts, commitments, and people rarely line up neatly. My job is to work through those gaps before they become expensive problems.
01↗
CAPACITY & COMMERCIAL JUDGMENT
Make the forecast earn the hire.
Challenge optimistic pipeline assumptions before they become permanent payroll.
Read the leadership example →02↗EXECUTIVE SPONSORSHIP
Reset the commitment. Protect the relationship.
Reconcile signed scope, client expectations, and actual readiness before the team absorbs the gap.
Read the leadership example →03↗CLIENT ADVISORY & OPPORTUNITY SHAPING
Help the client choose a practical path.
Turn an ambiguous AI ambition into practical options, a prototype, and work a team can carry forward.
Read the leadership example →02 / PEOPLE & CAPABILITY
A strong practice
needs sound judgment.
I work closely with recruiting to distinguish demonstrated AI capability from a convincing résumé. I look for curiosity, technical reasoning, and the ability to explain a decision under questioning.
Once a team is in place, my role is to establish ownership, remove barriers, and give specialists room to deliver.
How I assess and support talent →03 / TECHNICAL DEPTH, PUT TO WORK
I still build.
It makes me a better leader.
My independent products keep my technical judgment current. They are where I test the costs, failure modes, and tradeoffs I ask teams to consider.
THE PERSON BEHIND THE WORK
I’ve done the work.
I understand the stakes.
I’m Gino. My career has taken me from service desk and development to architecture, program leadership, and business operations. I like teams that can tell the truth early and clients who leave a conversation knowing what to do next.
THE NEXT CONVERSATION
Let’s talk about
the practice you want to build.
Building an AI practice takes client trust, capable people, and realistic commitments. That is the work I want to lead.
Start a conversationRead the executive brief →Based in the U.S. · Remote leadership