Ness is looking for a Technical Program Manager to drive complex, cross-team technical programs requiring deep coordination across engineering domains, including AI, Data, Platform, Infrastructure, SRE, and End User Computing. You will partner closely with engineering and product leadership to deliver initiatives where architecture, integration, reliability, performance, and technical trade-offs are central to success.

What You'll Do

Define program objectives, success metrics, scope boundaries, and sequencing.
Build an integrated roadmap across teams; manage critical path and trade-offs.
Translate business goals into technical milestones and engineering deliverables.
Drive integration plans across services, APIs, data contracts, and environments.
Ensure non-functional requirements are planned: reliability, scalability, security, privacy, cost, and observability.
Establish operating cadence across internal & dependent teams (working session, project reviews, milestone reviews, launch readiness, go/no-go).
Anticipate bottlenecks; negotiate sequencing and resourcing with engineering leaders.
Own RAID management and escalation with options and recommendations.
Drive launch plans, cutovers, feature flags, rollback strategies, and runbooks.
Partner with SRE/Infra to ensure monitoring, alerting, SLOs, and on-call readiness.
Align engineering, product/business, security/compliance, and operations.
Communicate progress and trade-offs clearly to leadership; maintain a decision log.
Make ambiguity smaller: produce clear charters, milestones, and dependency maps.
Anticipate and manage systemic risks (migration complexity, reliability debt, data quality).
Ship with operational excellence: readiness reviews, runbooks, SLOs, post-launch validation.

What We're Looking For

8–12+ years of experience.
Strong program management fundamentals (project planning, dependency mapping, RAID, stakeholder management).
Technical fluency: system design concepts, APIs, data flows, environments, CI/CD concepts.
Experience driving cross-team software/platform/infrastructure programs.
Comfort with ambiguity and technical trade-offs; can facilitate decisions.

Nice to Have

Experience with AI/ML or data platforms.
Familiarity with SRE practices (SLO/SLI, incident management, observability).
Experience with large migrations, platform modernization, or reliability programs.