{"id":"fa0eb6a7-4f19-4231-bdae-84b3c980036d","company":{"id":"c760ddaa-5d03-4b37-ada2-8c0f2c4c58e9","company_stack":[],"company_gallery":[],"company_stats":[],"company_about_section":{"name":"Officeworks","video_link":null,"description":"<p><strong>We are Officeworks</strong></p>\r\n\r\n<p>Officeworks&rsquo; purpose is &ldquo;we bring big ideas to life at low prices&rdquo;. We are Australia&rsquo;s leading omnichannel retailer of complete technology solutions, stationery, furniture, art supplies, and learning resources. We also offer services including Print &amp; Create and Geeks2U. 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This role requires significant engagement and orchestration capabilities, working closely between business SMEs and Technology teams to manage demand, balance resource capacity, and coordinate multi-disciplinary project work.&nbsp;</p><p>This role supports the Technology function to transition toward a democratised, self-serve analytics model by providing a seamless, collaborative interface between engineering teams and business stakeholders. It plays a critical part in the execution of the enterprise data strategy, helping Officeworks plan, prioritise, and realise the value of its investment in AI and modern data platforms.</p><p><strong>Where you will make a difference:</strong></p><p><strong>In this role you will:</strong></p><p><strong>End-to-End Delivery Management &amp; Planning:</strong></p><ul><li>Lead the execution and detailed delivery planning of data and AI workstreams from inception through to operational handover.</li><li>Orchestrate and manage the integration of Snowflake-based solutions with source-of-record systems and cloud infrastructure.</li><li>Coordinate and track project work to ensure delivery remains aligned with the SAP BW migration and Data Sphere transition requirements.</li></ul><p>&nbsp;<strong>Roadmap, Sequencing &amp; Resource Orchestration:</strong></p><ul><li>Partner with stakeholders across all levels to orchestrate, structure, and communicate the clear prioritization of initiatives.</li><li>Map, track, and mitigate technical and resource dependencies across multiple domains to safeguard critical delivery timelines.</li><li>Balance and align the competing demands of new AI projects with foundational data engineering and technical debt requirements against available team capacity.</li><li>Develop, refine, and manage the integrated delivery roadmap across data domains, acting as the primary point of alignment for delivery schedules.</li></ul><p>&nbsp;<strong>Stakeholder Collaboration &amp; Demand Prioritization:</strong></p><ul><li>Drive tight alignment between business units and engineering teams to ensure functional and non-functional requirements are transparently captured and planned.</li><li>Actively collaborated with business SMEs and technology leads to translate business requirements into structured technical sprint plans and achievable delivery schedules.</li><li>Facilitate and contribute to prioritisation governance forums to ensure cross-functional alignment and that resources are directed toward highest-value initiatives.</li></ul><p><strong>Process &amp; Continuous Improvement</strong></p><ul><li>Identify opportunities to optimise delivery workflows, agile ceremonies, and cross-team processes to improve velocity, coordination, and quality.</li><li>Drive the adoption of improved documentation standards and IP capture processes to ensure long-term sustainability of the data function.</li><li>Continuously review and refine delivery frameworks, ensuring they adapt to the specific operational needs of AI and machine learning lifecycles.</li></ul><p>&nbsp;<strong>Stakeholder Alignment &amp; Governance</strong></p><ul><li>Drive alignment between business units and engineering teams to ensure functional and non-functional requirements are met.</li><li>Contribute to prioritisation governance forums to ensure resources are directed toward highest-value initiatives.</li></ul><p>&nbsp;<strong>Risk &amp; Financial Stewardship</strong></p><ul><li>Govern project risks, delivery bottlenecks, budgets, and partner engagements to ensure high-quality outcomes within financial parameters.</li><li>Monitor delivery velocity and resource capacity, ensuring standards are maintained during the transition to permanent team models.</li></ul><p>&nbsp;<strong>Strategic Alignment</strong></p><ul><li>Ensure all delivery planning and execution activities reinforce the enterprise data strategy and the move toward data democratisation.</li><li>Partner with the Data Architect and Technical Associate Managers to ensure planned technical solutions are scalable, sustainable, and aligned with engineering capacity.</li></ul><p><strong>Who you will be working with:</strong></p><ul><li>Technology Teams: Partner closely with Data Architects, Technical Associate Managers, and AI Engineers to coordinate technical execution, clarify dependencies, and track delivery points.</li><li>Business Stakeholders: Collaborate with functional leaders and business SMEs to translate business-led requirements into technical delivery plans, managing expectations around prioritisation and timelines.</li><li>Data Leadership: Work with the Data Platform Manager and Enterprise Data Architects to align resource allocations and delivery roadmaps with broader strategic goals.</li></ul><p><strong>What success looks like:</strong></p><ul><li>Execution &amp; Delivery Excellence: Delivery of prioritised roadmap items on time, within budget, and to the agreed technical specification through disciplined resource and sprint orchestration.&nbsp;</li><li>Stakeholder Alignment &amp; Confidence: High levels of trust, collaboration, and consensus between the business and technology teams regarding priority, capacity constraints, and delivery progress.</li><li>Effective Planning &amp; Risk Mitigation: Proactive identification and resolution of delivery bottlenecks, resource contentions, technical dependencies, and commercial risks.</li><li>Continuous Improvement: Measurable improvements in delivery efficiency and velocity, with newly established ways of working successfully embedded across teams.</li><li>Strategic Consistency: Successful implementation of projects that demonstrably move the needle on data democratisation and self-serve analytics.</li></ul><p><strong>How you will lead:</strong></p><p><strong>Individual Contributor</strong></p><ul><li>Lives our Officeworks values and behaviours</li><li>Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behaviour</li><li>Operates in line with applicable Officeworks company policies and Code of Conduct</li><li>Demonstrates a strong sense of personal accountability and curiosity to learn and develop</li></ul><p><strong>Qualifications and work experience:</strong></p><p><strong>Essential</strong></p><ul><li>Education: Tertiary qualifications in Information Technology, Business, or a related field. Certifications in project management and agile are valued.</li><li>Experience: Minimum of 8-10+ years in technology delivery management, project management, or scrum master roles, specifically within data-heavy environments (Data Warehousing, Analytics, or AI/ML).</li><li>Planning &amp; Orchestration: Proven track record of managing end-to-end delivery roadmaps, project sequencing, sprint planning, and cross-team resource orchestration in agile or hybrid environments.</li><li>Stakeholder Management: Exceptional capability to lead cross-functional prioritisation discussions, manage stakeholder expectations, translate business needs to technical plans, and drive consensus.</li><li>Technical Knowledge: Demonstrated experience managing delivery and technical dependencies across Snowflake, Cloud platforms (Azure/AWS/GCP), and complex source systems.</li><li>Process Improvement: Demonstrated experience in identifying bottlenecks and implementing delivery process improvements within a technology delivery context.</li></ul><p><strong>Preferred</strong></p><ul><li>Transformation Exposure: Experience supporting large-scale data migrations (e.g., SAP BW/Data Sphere transitions).</li><li>Industry Context: Experience within the Retail or FMCG industry, particularly in an omnichannel environment.</li><li>Continuous Improvement Methodologies: Familiarity with Lean, Six Sigma, or similar continuous improvement frameworks is highly desirable.</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/officeworks/delivery-lead-bengaluru-T500-26589","created_at":"2026-06-10T19:09:38.629237+05:30","updated_at":"2026-08-20T17:09:22.499031+05:30","title_alias_1":"Delivery Lead","slug":"delivery-lead-bengaluru-T500-26589","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":8,"max_experience_years":10,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-26589","external_id":38651,"external_job_code":"OWJT003","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-07-08T12:51:37.591330+05:30","published_at":"2026-06-10T19:09:37.784564+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-26589.png","role_summary":"<p><strong>About the Data and Analytics Function:</strong></p><p>By joining the Data, Analytics and AI Hub within Officeworks’ Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. 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