Project-Strategy Manager/ Head- Mumbai

JobItUs; Mumbai; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Jobitus is seeking a Strategy Head to lead the design and execution of high-impact strategic initiatives across workforce optimization, productivity, AI adoption, and enterprise digitization. This role will build and lead analytics and data science teams to enable data-driven decision-making and scalable transformation.

You will partner with CXOs, drive governance, and oversee end-to-end programs with cross-functional teams to deliver measurable ROI and sustainable growth.

Qualifications

• Proven experience defining and driving organizational strategy at senior levels.
• Experience building and leading analytics or data science teams.
• Track record in workforce optimization and digital transformation initiatives.

Responsibilities

• Strategic leadership: define and drive organization-wide strategy across key domains.
• Lead and mentor analytics, data science, and transformation teams; plan hires.
• Analyze workforce utilization and capacity to optimize resources.
• Improve productivity through continuous improvement programs and KPIs.
• Identify high-impact AI/automation use cases and collaborate with tech teams.
• Drive digitization of manual processes and enterprise-wide transformation.
• Oversee end-to-end execution of strategic initiatives with governance.
• Build dashboards and reporting to enable data-driven decisions; monitor ROI.
• Engage with CXOs, business heads, HR and IT to align efforts.

Skills

Strategic leadership

Team leadership

Analytics

AI strategy

Digital transformation

Program management

Data analytics

Stakeholder management

Job description

Strategy Head

Role Overview

The Head of Strategy will lead the design and execution of high-impact strategic initiatives across workforce optimization, productivity enhancement, AI adoption, and enterprise digitization. This role will also build and lead high-performing analytics and data science teams to enable data-driven decision-making and scalable transformation.

Key Responsibilities

1. Strategic Leadership
   • Define and drive the organization’s strategy across:
   • Workforce optimization
   • Operational productivity
   • AI and automation adoption
   • Digital transformation initiatives
   • Partner with executive leadership to align strategy with business objectives and growth plans.
2. Leadership & Team Management
   • Build, lead, and mentor a high-performing team of:
   • Data Analysts
   • Data Scientists
   • Strategy and Transformation professionals
   • Drive hiring plans, including sourcing, interviewing, and onboarding new team members aligned with business needs.
   • Define team structure, roles, and career progression frameworks.
   • Foster a culture of innovation, accountability, and continuous learning.
   • Ensure effective collaboration between analytics, business, and technology teams.
3. Workforce Optimization
   • Analyze workforce utilization, capacity, and performance metrics.
   • Design and implement models for:
   • Workforce planning
   • Skill mapping and reskilling
   • Cost optimization
   • Drive initiatives like shared services, outsourcing, or automation where relevant.
4. Productivity Improvement
   • Identify inefficiencies across business processes.
   • Lead continuous improvement programs (Lean, Six Sigma, etc.).
   • Define KPIs and track productivity gains across teams and functions.
5. AI & Automation Strategy
   • Identify high-impact use cases for AI/ML and automation.
   • Collaborate with tech teams to implement AI tools (e.g., predictive analytics, chatbots, RPA).
   • Evaluate build vs. buy decisions for AI solutions.
6. Digitization & Transformation
   • Drive digitization of manual processes and legacy systems.
   • Lead enterprise-wide digital transformation programs.
   • Ensure seamless integration of new technologies into existing workflows.
7. Program Management
   • Oversee end-to-end execution of strategic initiatives.
   • Establish governance frameworks, milestones, and success metrics.
   • Manage cross-functional teams and external partners/consultants.
8. Data-Driven Decision Making
   • Build dashboards and reporting frameworks.
   • Leverage analytics and data science insights to drive business decisions.
   • Monitor ROI and impact of all strategic initiatives.
9. Stakeholder Management
   • Work closely with CXOs, business heads, HR, and IT teams.
   • Influence decision-making at senior levels.
   • Communicate progress, risks, and outcomes effectively.