Delivery Owner (Delivery Manager)

Waterfield Tech•Tulsa, OK

5h•$130,000 - $162,500

About The Position

Waterfield Tech enables companies to select, design, and deploy tailored customer engagement solutions from the world’s leading providers enhanced by cutting edge Applied AI. The results are happier customers, enhanced insights, and lower costs. Once live, we empower companies to support, optimize, and modernize those solutions and AI applications, leading to lower risk and increased efficiency. Our client-centric process and track record of success have earned the trust of clients around the world when it comes to customer interaction. We value our people—their diversity, their dedication, and their commitment to customer satisfaction. We encourage each other. We understand the value of hard work and the importance of a healthy balance. We’re all on the same page… even though we may get there from different perspectives. All in all, it’s a pretty cool place to be and we’re growing our global team of engineers, sales professionals, and creative souls.

Requirements

Bachelor's degree in Business Administration, Project Management, Information Technology, or a related field; equivalent professional experience will be considered in lieu of a degree.
7+ years delivering complex technical services engagements, with 3+ years in a delivery leadership capacity accountable for delivery outcomes and margin.
Experience with delivery economics, including burn vs. plan, estimate-at-completion, margin variance, and change-order capture.
Experience leading customer executive governance and recovering at-risk engagements.

Nice To Haves

PMP or equivalent recognized certification; PgMP, ITIL, change management (e.g., Prosci ADKAR), or portfolio certification (e.g., PfMP).
Prior experience leading a team, or in a project management, program management, solutions architecture, or professional services engineering role, or at a platform manufacturer or vendor partner.
Command of Waterfall, Agile, and Hybrid delivery approaches.
Experience with AI-assisted project and portfolio management (PPM) tooling.

Responsibilities

Own delivery outcomes, including time, scope, quality, and margin, across an assigned portfolio of customers and projects.
Serve as the accountable delivery leader and the account-level point of accountability for delivery success, convening the account team and practice leadership as the engagement requires.
Validate feasibility before scope, dates, or commitments harden during pre-sales, and supply the scope, deliverables, level-of-effort, and recommended statement of work language that the pricing and proposal team uses to build the SOW.
Establish the delivery approach, standards, and kickoff-readiness gate at engagement start, including an agreed design baseline held through go-live.
Connect each engagement's deliverables to the customer's initiatives, success criteria, and expected ROI; drive adoption at go-live; and confirm value realized in real dollars or tangible results.
Enforce change control by catching out-of-scope work early and routing it through the documented change-request process rather than absorbing it; make the final call on scope, risk, and escalations.
Own costing inputs and delivery economics, including effort estimates, resource mix, and delivery-model assumptions; track burn versus plan, forecast margin risk early, and drive corrective action.
Serve as the senior client-facing owner of the delivery relationship, leading executive delivery conversations and the governance cadence, keeping status and decisions visible so issues surface early.
Partner across the account team, including commercial owners, pre-sales, customer success, and the pricing and proposal team, and contribute to portfolio-level capacity and risk planning with practice leadership.
Provide delivery inputs into renewals and expansions, and hand expansion opportunities that emerge from delivery to the commercial owner, who owns the pursuit.
Maintain and enforce delivery standards, templates, and quality gates.
Apply AI to delivery oversight, including portfolio health signals, predictive risk analysis, automated status roll-ups, and documentation generation.