Description :

The Technical Capability Management Function Lead will design, govern, and scale an enterprise-wide capability program to ensure the organization has the right technical skills, proficiency depth, and talent supply to meet strategic business priorities. This leader will build and run a capability operating model that covers : skills taxonomy, proficiency frameworks, workforce capability assessments, learning pathways, certification strategy, role-based curriculum, capability dashboards, and continuous improvements partnering closely with Engineering, Delivery, HR/L&D, and Business leadership.

Key Responsibilities :

1) Capability Strategy & Operating Model :

- Define the technical capability strategy aligned to business roadmap, product/platform priorities, delivery commitments, and market trends.

- Establish a scalable Capability Management Operating Model : governance, cadence, decision rights, funding model, and stakeholder alignment.

- Drive annual/quarterly capability planning cycles : current-state vs. target-state, capability gaps, and build/buy/borrow plans.

2) Skills Framework & Taxonomy :

- Create and maintain a skills taxonomy across domains (e.g., Cloud, AI/ML, DevOps/SRE, Security, Networking, Data, Platforms, Software Engineering).

- Build role-based proficiency frameworks (Beginner ? Expert) with observable indicators, artifact expectations, and assessment guidelines.

- Ensure mapping to job families/levels, career paths, and delivery role expectations.

3) Capability Assessment & Gap Closure :

- Implement enterprise capability assessments using multiple signals (self, manager, interview panels, project evidence, certification, code review outputs, labs).

- Identify capability gaps by org, role, account/program, and geography; create targeted closure plans.

- Design interventions : bootcamps, labs, mentoring, guilds, rotations, project-based learning, and internal talent marketplace models.

4) Learning Pathways, Academies & Certification Programs :

- Build role-based learning pathways aligned to capability depth requirements (Day1/Day2/Managed Services/Engineering).

- Partner with L&D and technical SMEs to establish internal academies (e.g., CloudOps Academy, Platform Engineering Academy, Security Academy).

- Define and manage certification strategy, vendor alignment (cloud providers, security, DevOps tooling), and measurement of certification ROI.

5) Workforce & Talent Pipeline Integration :

- Partner with Talent Acquisition and Workforce Planning to align hiring plans to capability gaps.

- Define technical hiring standards, interview rubrics, and onboarding capability ramps.

- Support succession planning for critical roles and strengthen internal mobility via structured capability progression.

6) Metrics, Dashboards & Executive Reporting :

- Build capability dashboards : proficiency distribution, gap trends, learning adoption, certification coverage, billability readiness (if services), project readiness.

- Provide leadership with quarterly capability health reporting and risk/mitigation plans.

- Drive measurable outcomes : improved delivery quality, reduced ramp time, increased

productivity, stronger technical depth.

7) Stakeholder Management & Community Building :

- Engage senior stakeholders across Delivery, Engineering, Product, HR, Finance, and Business Ops.

- Build communities of practice (guilds), SME networks, and mentoring structures.

- Drive culture of continuous learning with recognition mechanisms and internal tech events/hackathons.

8) Budget, Vendor & Program Management :

- Own capability program budget (training platforms, labs, certifications, partners).

- Manage vendors and training partners; ensure content quality and relevance.

- Ensure compliance (security/legal) for labs, tools, and learning environments.

Outcomes / Success Measures (KPIs) :

- Capability Gap Reduction : % reduction in critical skill gaps quarter-on-quarter

- Role Readiness : % workforce meeting target proficiency for priority roles

- Ramp Time : reduction in onboarding-to-productivity time

- Certification Coverage : role-based certification attainment and relevance

- Delivery/Engineering Impact : defect leakage reduction, improved SLO/SLA adherence, fewer escalations

- Learning Adoption : completion, engagement, labs participation, mentorship coverage

- Talent Pipeline : internal mobility fill-rate; hiring alignment to capability needs

Required Qualifications :

- 12 - 18+ years in technical leadership / engineering / delivery / platform roles with strong credibility in modern tech stacks.

- 5+ years leading enterprise-scale programs (capability transformation, L&D strategy, workforce planning, engineering enablement).

- Strong understanding of skills frameworks, proficiency models, and assessment methods.

- Experience working with cross-functional partners : Engineering, Delivery, HR/L&D, Talent Acquisition, Finance, and senior leadership.

- Strong program management skills : multi-workstream planning, prioritization, stakeholder alignment, execution governance.

Preferred candidate profile :

- Experience building technical academies, internal certification programs, guilds, and communities.

- Exposure to cloud and platform ecosystems : hybrid cloud, Kubernetes, DevOps/SRE, security, observability, automation.

- Strong analytics mindset; experience with Power BI/Tableau/Workday/SuccessFactors/skills platforms (e.g., Degreed, Cornerstone, Pluralsight, Coursera for Business).

- Consulting / enterprise transformation exposure is a plus.

- Certifications (nice-to-have) : Cloud, SAFe/Agile, ITIL, DevOps, Security.

Core Competencies :

- Strategic thinking + execution discipline (Operating model mindset)

- Stakeholder influence at senior levels

- Data-driven decision-making and storytelling

- Program governance & risk management

- Technical credibility and ability to work with SMEs

- Change management and adoption leadership

Leadership Level Expectations :

- Leads through influence; builds alignment across org boundaries.

- Creates repeatable mechanisms and institutionalizes continuous improvement.