Job Summary
Cognizants Digital Engineering is seeking an Engineering Manager with around 12 years of experience to lead a team manage product features from start to finish foster a strong team culture hire and mentor engineers and define a scalable secure architectural vision while bridging technical and business needs.
Responsibilities
Oversee day to day activities including development design architecture delivery and operations ensuring execution remains aligned to measurable business outcomes.
Manage scope and delivery timelines. Work with peers leadership and the wider team to mitigate any risks and dependencies. Ensure the right level of governance and visibility is provided periodically to the wider teams.
Partner with the Technology leaders and architecture community to align individual capability growth with the teams technical direction and the organizations engineering horizon.
Collaborate with product leadership to assess the technical effort required for roadmap items ensuring goals are realistic and encourage your engineers to think about the user experience driving a culture that cares about product outcomes.
Serve as the bridge between technology decisions and business goals clearly articulating priorities and trade offs.
Drive excellence in delivery quality velocity of delivery usage of tools best practices and adherence to security standards.
Foster a culture of innovation and continuous improvement driving business value.
Manage capacity and work assignment surface risks and dependencies early and protect the team from unplanned interruptions.
People leadership hiring onboarding training mentorship performance management and building inclusive high performing teams aligned to culture and values.
Identify individual and team level skill gaps including AI engineering fluency DevSecOps practice and product thinking and translate them into structured development plans with clear milestones and support.
Make AI literacy a core part of every engineers growth path: help the team build practical fluency in AI assisted development tools responsible AI practices and the judgement required to use them well.
Actively promote and model the use of AI assisted engineering tools within the team code generation intelligent review automated test scaffolding as a means of increasing quality and productivity. Ensure the team follow responsible AI practices.
12 years building modern products and Software Engineering background with around 5 years leading and managing product Engineering teams who own outcomes end to end.
Proven people management experience in a technology or engineering environment performance management development planning and building team culture.
Fluent in Modern Engineering practices agile delivery CICD cloud native architecture DevSecOps and AI assisted development sets the expectations and standards for how the team works.
Credible technical background in software engineering full stack backend or platform sufficient to assess quality coach engineers and engage in technical discussions.
Ability to assess business cases technical feasibility scope timelines estimates and budgets and ensure delivery is tracked with appropriate oversight and governance.
Strong understanding of agile delivery practices: sprint facilitation backlog management capacity planning and continuous improvement.
Product led mindset able to connect engineering work to customer outcomes and business value and coach the team to do the same.
Experience embedding AI assisted tools or AI powered features in an engineering teams ways of working with appropriate standards for quality accountability and responsible use.
Clear confident communicator able to manage peers communicate clearly with senior leadership team and within the team.
Sound judgement on people and delivery decisions acts within governance makes timely calls and owns outcomes.
Demonstrable commitment to inclusion fairness and psychological safety as active leadership behaviors.
Experience leading engineering teams in the Energy retail sector with a strong grasp of smart metering industry data flows Ofgem regulation and an awareness of the operational reliability and customer centric standards that define the sector.
Cloud Architecture Engineering Metrics and DORA AI Fluency LLMs Agents Workforce Planning DevSecOps Understanding Observability SRE Exposure Product Analytics Awareness FinOps Budget Management Design Thinking Methods
Certifications Required
Preferred certifications include PMP or PRINCE2 Agile or Certified ScrumMaster and a cloud certification such as AWS Solutions Architect or Azure Solutions Architect.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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