Data Analytics & Management Chapter Lead - Data Engineering Director Role

Telstra

  • Bangalore, Karnataka
  • Permanent
  • Full-time
  • 22 days ago
At Telstra, we have a clear purpose: to build a connected future so everyone can thrive. We believe it's people who give purpose to our technology. So we are committed to staying close to our customers and providing them the best experience. And delivering the best technology. This is where YOU come in, by playing your part in helping our customers connect: faster, better and smarter. Who we are: Telstra is Australia's leading telecommunications and technology company with a rich heritage that's been built over 100 years. From our humble beginnings in the Postmaster General's Office to the global business we are today our people have been at the forefront of technology innovation. More recently, we have the largest Internet of Things network in Australia and are leading the way in 5G. And this is just the beginning of what we're hoping to achieve together. What is the focus of the role As a Data Engineering Chapter Lead, your will combine your deep expertise in Data Engineering Technology and Strong People leadership & Management capabilities to deliver the Data & AI aspirations & objectives of the company. Through your passion for leadership you will connect, mentor, engage, and develop your chapter (Team) members so they deliver value aligned to Telstra's strategic roadmap. Through your Technical mission work, you will directly design, implement, and deliver to strategic Data & AI programs that leverage your Technology & Big Data Engineering skills to build a Data & AI fuelled Organisation. Organizational Leadership: Strong Leadership experience, with a track record of successfully leading and mentoring team members in Data Engineering value chain. Coaching and developing members within Data Engineering Team to enable them to deliver high quality capabilities in Data Acquisition, Data Ingestion, Data Processing, Data analytics & Data Value chain, support, Develop and provide feedback along the way. Build strong, trusting relationships within the team that enable a culture of high performance and living Telstra values. Providing clarity on performance, behavioural goals, and expectations to the chapter team members and ensure that they can contribute to both mission and chapter goals effectively. Actively maintaining a talent pipeline for the chapter to ensure that workforce strategy objectives are achieved. Modelling a culture of collaboration and continuous learning to support development of domain and interpersonal capability within the Chapter. Managing resource allocation to ensure capability required is available and resourcing issues are mitigated, in collaboration with Group Owners. Ability to manage team finances and applying commercial acumen to ensure chapter and resourcing priorities are achieved within allocated budget targets. Collaborating with Organisation leadership and Peer Leaders to determine and implement tools/common practices to be used by chapter team members. Providing clarity to chapter team members on current and future capability requirements to enable them to own and drive their development so they can continually grow and add value in different ways. Drive thought leadership & Engineering excellence to innovate and shape technological strategies, fostering an innovative thinking culture. Using timely feedback conversations to inspire chapter member performance and achievement of challenging goals. Manage end-to-end vendor relationships, including assessment, onboarding, and ongoing resourcing, to ensure seamless collaboration and alignment with chapter and mission objectives. Acting as a champion and exemplifying the ways of working mindsets and practices for all teams in which you participate. Fostering the culture of growth mindset in the team. Identifying opportunities to innovate and create new Data Engineering & Management practices/approaches to improve efficiency and effectiveness. Data Engineering Leadership 12+ Years of industry experience, majorly in data engineering. Deliver end-to-end data engineering solutions to improve operational efficiency and outcomes. Translate the business needs into actionable solutions, applying commercial and business lens to enable decision-making and resolve problems. Transform data into actionable insights by interlinking high-value datasets, advanced analytics, and architecture, catering to the needs of both internal and external customers. Proven experience in data engineering, with a focus on designing and implementing scalable data infrastructure. Strong proficiency in relevant programming languages (e.g., Python, Java, Scala) and experience with ETL tools. Expertise in managing and optimizing relational and non-relational databases, including hands on experience in SQL-PL/SQL and database administration. In-depth knowledge of database management, data modelling, and data warehousing. To be successful in the role, you will have working experience in big data technologies and cloud platforms (Azure/AWS). Big Data: Apache Spark, Flink, Hadoop, AWS Kinesis/Azure Synapse etc. Data processing: Azure Data Bricks, Azure Data Factory. Data Warehousing: RedShift, Snowflake etc. Excellent problem-solving, communication, and collaboration skills. Visualise data to create a story for the business which identifies opportunities, risks, and maximises performance for business areas. Strong understanding of Agile methodologies and the ability to adapt to changing requirements Articulate to the business the value of data analytics and encourage the business to use predictive analytics and data solutions to obtain a commercial advantage. Well versed experience in Confluence, Jira etc. Anticipate potential issues before they arise and develop mitigating actions to address and communicate to the team and relevant stakeholders. Build, automate and maintain complex analytics and data queries which compile relevant data on performance and cost strategy analysis. Develop data management capabilities and appropriate solutions to ensure data quality, alignment and risk management strategies are in place to support ongoing management of data. Determine and articulate the business and customer impacts resulting from changes or improvements in data management approaches to facilitate support from key stakeholders and justify investments. Support data governance through the implementation of business processes and management guidelines which can include strategies for effective storage, sharing and utilisation across the enterprise. Stay up to date on innovative and emerging data engineering and management practices and consider how it can be implemented in Telstra to enhance current processes and systems. An individual with a strategic growth mindset, technical expertise, and a strong enthusiasm for advancing data excellence within an organization. Soft Skills Data engineering tools and techniques, Data Analytics & Insights knowledge, Understanding of Data Science AI & ML, Analysing data, Data Solutioning design and architecture knowledge, Data Automation, Data Governance, Data Insights, Programming & coding skills related to data engineering, Active Listening, Agile Methodology, People Leadership & management, Budget Management, Vendor management, Demand & Resource Management Career Development Coaching, Communicating with Influence, Strong Stakeholder management, Influencing Change, Motivating Teams, Feedback management, Strategy Development, Team Building, Team Coaching, Team Performance Management. What we offer Dynamic, innovative and knowledgeable, our people are the brains behind amazing achievements such as keeping on top of the latest technology or masterminding the store of the future. And because they share the same vision, they take the time to pass on their knowledge, mentor you, and guide you in your career path. Here you'll have the opportunity to work with some of the best minds in the industry, people who are passionate about Telstra and technology, and who work together to achieve great things. Not only will you be rewarded with a competitive salary package, but there are a range of lifestyle products and services that you can access, including options to purchase additional leave, volunteer leave and the list goes on. Sound like you A career with us will give you a platform to shape tomorrow through technology. For you, that means helping us to push the boundaries of what's possible today, and in the future. It also gives you the opportunity to empower millions helping businesses grow, evolve and reach their potential. At Telstra, you can thrive, your way. We foster new ideas, we embrace different ways of working and thinking, and we believe an inclusive and diverse team will lead us to innovate for the future. We're committed to building a diverse and inclusive workforce. To enable everyone to participate, we've developed an 'All Roles Flex' policy to consider flexible ways of working for every role. To learn more, visit our Telstra Careers Website: http://tel.st/allrolesfle Desired Skills and Experience Delivery Lead, Data Solutions, Digital Transformation, cloud implementation strategy, Product Roadmap, product Lifecycle Management, Revenue generation strategy, revenue management, Data Governance, Data Insights, cloud data migrations, Cost Optimization, Delivery management, IT governance risk and compliance, Azure Cloud services, Operating cost reduction, Process automation & Optimization, stakeholder management, strategic business focus, resource management, Performance management, team coaching, team development, telecom, finance, oild & Gas, Investment banking domains, Agile methodology, Azure cloud technologies - Data lake, Delta lake, Data factory, data warehousing, data bricks, event hubs, cosmos DB, azure synapse, Big Data analytics, influential communication, career coaching, Motivating teams, people leadership.

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