Job Description
We are seeking an accomplished and strategic Director/Senior Director Delivery to lead the successful execution of enterprise-scale data analytics, data engineering, and AI initiatives. The incumbent will be responsible for driving end-to-end delivery excellence, managing high-performing teams, and ensuring exceptional client outcomes across complex transformation programs.
This leadership role requires a strong blend of technical expertise, consulting experience, business acumen, and delivery excellence. The ideal candidate will have evolved from hands-on roles in Data Engineering, Data Science, or Strategic Business Analytics into consulting and delivery leadership positions, with demonstrated experience managing large-scale engagements and fostering long-term client partnerships.
The individual will play a critical role in shaping delivery strategy, ensuring operational excellence, and driving business value for clients through innovative analytics solutions.
Key Responsibilities
- Delivery Leadership:
- Lead end-to-end delivery of medium to large-scale analytics, AI, and data transformation engagements.
- Establish delivery frameworks, governance mechanisms, and execution models to ensure successful project outcomes.
- Oversee multiple concurrent projects while ensuring adherence to scope, timelines, budgets, and quality standards.
- Drive delivery excellence through structured planning, execution monitoring, and proactive risk management.
- Ensure projects are delivered with high standards of quality, technical rigor, business relevance, and customer satisfaction.
- Implement best practices to improve delivery efficiency, scalability, and operational effectiveness.
- Client & Stakeholder Management:
- Build and nurture trusted relationships with senior client stakeholders, including Directors, Vice Presidents, and C-suite executives.
- Act as the primary point of contact for strategic accounts and key customer engagements.
- Understand client business challenges and align analytics initiatives with organizational objectives.
- Facilitate executive-level discussions, project reviews, and steering committee meetings.
- Identify opportunities for account growth, cross-selling, and long-term partnership development.
- Manage client expectations and ensure high levels of engagement and satisfaction.
- Program & Project Management:
- Develop comprehensive project plans, resource strategies, delivery roadmaps, and governance structures.
- Monitor project health through key performance indicators, milestone reviews, and delivery dashboards.
- Identify potential risks, dependencies, and bottlenecks and implement mitigation plans.
- Ensure seamless collaboration between analytics, engineering, consulting, and business teams.
- Drive effective communication and transparency across all project stakeholders.
- Team Leadership & Talent Development:
- Build, mentor, and lead high-performing teams comprising data scientists, data engineers, analysts, consultants, and delivery managers.
- Foster a culture of collaboration, innovation, accountability, and continuous learning.
- Support talent acquisition, capability development, succession planning, and employee engagement initiatives.
- Establish performance metrics and provide coaching to enhance team effectiveness.
- Encourage adoption of emerging technologies and best practices within the delivery organization.
- Data & Analytics Excellence:
- Provide strategic oversight for projects involving: Data Engineering, Data Science, Machine Learning, Artificial Intelligence, Business Intelligence, Advanced Analytics, and Strategic Business Analytics.
- Ensure robust architecture, scalability, and reliability of analytics solutions.
- Promote the adoption of modern data platforms, cloud technologies, and AI-driven capabilities.
- Drive innovation initiatives to enhance client value and competitive advantage.
- Business & Practice Growth:
- Collaborate with sales, consulting, and practice leadership teams to support business development initiatives.
- Participate in solution design, proposal development, effort estimation, and client presentations.
- Contribute to practice-building efforts, thought leadership, and capability enhancement programs.
- Identify emerging industry trends and leverage them to strengthen service offerings.
- Support organizational growth initiatives and strategic planning activities.
Desired Candidate Profile
- Educational Qualification:
- B.E./B.Tech in any specialization from a reputed institution.
- M.Tech, MBA, or equivalent postgraduate qualification preferred.
- Certifications in Project Management, Agile, Cloud Technologies, or Data Analytics will be an added advantage.
- Experience:
- 15+ years of progressive experience in: Data Engineering, Data Science, Advanced Analytics, Strategic Business Analytics, and Consulting and Delivery Management.
- Proven track record of leading large-scale analytics and transformation programs.
- Experience managing medium to highly complex projects with global clients.
- Strong exposure to consulting environments, professional services firms, or analytics organizations.
- Demonstrated success in managing senior client relationships and delivery portfolios.
- Technical Competencies:
- Strong understanding of data engineering ecosystems and analytics platforms.
- Knowledge of machine learning, AI, cloud data architectures, and business intelligence solutions.
- Experience with delivery methodologies including Agile, Scrum, and hybrid execution models.
- Expertise in project governance, resource management, financial planning, and risk management.
- Familiarity with enterprise-scale analytics implementations and modernization initiatives.
- Leadership Competencies:
- Exceptional stakeholder management and executive communication skills.
- Strong strategic thinking and problem-solving capabilities.
- Ability to influence and collaborate across diverse teams and functions.
- Proven experience in building and scaling high-performing delivery organizations.
- Strong commercial orientation with a focus on business outcomes and customer success.
- Excellent presentation, negotiation, and decision-making abilities.
(ref:hirist.tech)
