Data Engineering Manager - Operate
Bangalore (SDC) - Bagmane Tech Park
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Managed ServicesManagement Level
ManagerJob Description & Summary
At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients.Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Job Summary -
A career in our Managed Services team will provide you with an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Analytics and Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services that manage interactions across all aspects of the value chain.
Minimum Degree Required (BQ) *:
Bachelor’s Degree
Degree Preferred:
Bachelor's degree
Required Field(s) of Study (BQ):
Preferred Field(s) of Study:
Computer and Information Science, Management Information Systems
Minimum Year(s) of Experience (BQ) *: US
Minimum of 5 years of experience
Certification(s) Preferred:
PMP, Agile Certification, CTAL-TA, CT-TAE
Preferred Knowledge/Skills *:
Required Knowledge/Skills:
The Data & Analytics Manager’s primary responsibility is to manage and Lead projects/activities related to building the modern data ecosystem while working with IT and business to convert insights into strategic opportunities. We are in search of passionate, motivated, and creative Data & Analytics managers to join our Managed services team who would lead and manage a team of Data architects, Data technology engineers, Data scientists and Reporting and BI experts to drive business outcomes through analytics interventions. Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas:
Should have minimum 10 years of experience in data and analytics management with at least 6 years of Experience of leading various Data and Analytics program/initiatives of large sizes;
Lead and manage a team of ETL developers and data engineers/analysts responsible for data integration and ETL processes
Managed Services/Operate/Production Support Experience is a plus
Lead and mentor a team of data engineers and architects, providing technical guidance, coaching, and professional development opportunities.
Stay current on emerging trends, technologies, and best practices in cloud computing, data management, and analytics, and assess their potential impact on the organization.
Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients.
Should have extensive Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.;
Should have Experience working with and creating Data warehouses and dashboards using industry leading data and analytics tools and technologies.;
Should have Led multiple Data & Analytics projects to build, develop and maintain data & analytics ecosystem, dashboarding & reporting systems, that support key business decisions;
Should have led the design and delivery of Data processing activities like Data Ingestion, Data processing (ETL and ELT), Data cleansing, profiling, and wrangling, Data Governance (Data Quality, Lineage and Data security), Master Data management, BI reporting, and Analytics;
Should have led and driven estimations and sizing effort related to Data analytics work, plan and build teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution;
Should have led discussions with IT teams for large transformation/migration initiatives of migrating the on-prem Data warehouses to advanced platforms like cloud;
Should have Experience working with various team leads including Business teams and Efficiently Manage risks and issues related delivery of Data and Analytics assets;
Should be able to identify new opportunities for growth in the Data & Analytics area and drive them to closure with respective stakeholders (internal as well as external);
Should have excellent communication, problem solving, quantitative and analytical abilities.;
Should be Confident in decision making and can explain processes or choices as needed.
Should Perform as a team leader by creating a positive environment, build proven team members based on coaching and mentoring, shaping next generation of Data analytics leaders;
Be able to effectively Monitor workloads of the team while meeting client expectations and respecting the work-life quality of team members;
Be able to Recruit, train, develop, mentor, and supervise team members.
Preferred Knowledge/Skills:
Candidate should have good Experience in working with a managed services organization with a passion for leading multiple Data and Analytics projects and demonstrate proven experience in following key areas/activities
Analyze business functions and drive IT transformations to creating analytics models and related insights.
Define and enforce best practices, standards, and governance frameworks for data management.
Collaborate with cross-functional teams including data scientists, analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions.
Understand the Data strategy for an organization and help realize Roadmap to take the organization to the next level of Data ecosystem maturity
Anticipate and plan future demands of initiatives related to resources, technology needs, accurate estimations, cost budgeting and design/implement solutions to meet these needs.
Evangelize the need of using Data at scale drive Data onboarding initiatives with business
Effectively ideate and create and leverage accelerators for quicker time to market of deliverables
Lead the development of intellectual property related to Data Analytics, Machine Learning and Insights and delivery market leading point of views at industry events.
Design and develop scalable and efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses for analysis and reporting.
Nice to have:
Lead cloud scale development effort for Data Integration technology-enabled solutions that address the needs of large organizations, including how to streamline design, automation, and orchestration of enterprise data that support large business transformation and processes.
Lead multi-cloud/hybrid cloud data integration solutions.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Automation, Automation Framework Design and Development, Automation Solutions, Budgetary Management, Business Process Automation (BPA), Business Process Improvement, Business Process Outsourcing, Business Transformation, Coaching and Feedback, Communication, Continuous Process Improvement, Creativity, Data Quality Automation, Deliverable Planning, Delivery Excellence, Design Automation, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 29 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data Analytics Data governance Data management Data pipelines Data quality Data strategy DevOps ELT Engineering ETL ITIL Machine Learning Pipelines Security
Perks/benefits: Career development Team events
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