Delivery Manager - Engineering

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Responsibilities:

Plan, manage and deliver projects/initiatives as per business objectives. Lead 1-2 Data teams to deliver value to the business.

Delivery Manager - Data 11+ years of experience in data engineering to provide expert guidance to meet end-to-end delivery of data management services. This role involves playing the subject matter expert on data strategy and understanding the tradeoffs between technical, analytical and product requirements and lead to solutions that take all the needs into account.

Essential Functions

% of Time Spent

Delivery Management

Planning and estimation, scheduling, task allocation, monitoring & control, reviews
Build engineering culture principles within the team. Demonstrate complete understanding & ownership of the product. Enable and facilitate adoption of required skills based on the product needs for self and team. Create forums or gather data for team to gain customer perspective.
Relationship Management and Partner Satisfaction
Establish and continually improve project management and execution processes including Risk Management, communication, defect management & prevention
Status reporting, metrics generation & analysis

Technology and Domain

Provide domain and technical leadership, Knowledge Management
Ability to adapt to changing technology landscape
Build product acumen based on functional area
Practice/Implement Design thinking approach
Lead, design and communicate with business stakeholders as well as communicate business objectives to the data team and get buy-in
Quickly break down complex problems into potential solutions, knowns, and unknowns, in order to get to solid resolutions faster. Able to recognize and make trade-offs with respect to the whole system.
Capable of debugging the most complex problems that the team encounters.
Anticipate technical issues at the product level and make architectural and design decisions to avoid them

People Management

Staffing, onboarding, Skill building, Back-up Planning
Employee Satisfaction
Mentoring and coaching team members
Handling appraisals and feedback

Contribution to organizational activities

Contribute to organizational initiatives and activities that would benefit from knowledge/skills possessed by the individual as well as help the individual grow in terms of area of influence & potential partnership needed beyond the business unit.

Dimensions:

Will usually have 8-20 direct reports and will be responsible for their personnel management

Can handle projects where various types of skill sets (technology) is used as well as distributed teams.

Reporting Relationship:

This position reports to: Program Manager (Principal Consultant)

Direct Reports: Consultants, Associate Consultants and Trainees

Qualifications:

Education: Graduate – Bachelor’s degree (any stream).

Experience: 11+ years of IT experience with 1 or 2 years in delivery management is recommended. Experience is not a constraint for the right candidate.

Skills:

Expertise in enterprise architecture and system design
Experience with data mesh architecture
Comprehensive knowledge of modern data platforms and technologies
Expert-level understanding of cloud platforms (AWS, Snowflake)
Advanced knowledge of data security, data governance and compliance frameworks
Expertise in data strategy development and execution
Strong understanding of industry trends and best practices in data space
Strong experience with enterprise integration patterns
Agile/Scrum methodology experience
Strong leadership and presentation skills required. Must be able to maintain a high degree of accuracy and confidentiality.
Must have the desire to learn new technology and continuously grow.
Ability to work on cross-functional teams and collaborate with both It and non-IT partners. Some travel may be required, including overnight stays. May be required to provide on-call support.

Additional Information:

Soft Skills

High ownership and accountability for delivery quality, performance, and reliability.
Clear stakeholder communication with options, trade-offs, and data-backed recommendations.
Mentorship mindset, collaborative, pragmatic problem-solving and strong documentation.

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