Role Proficiency:

Under guidance deliver large and complex programmes within budget and schedule to meet outcomes as outlined.; adhering to defined processes and quality standards for a portfolio with TCV of $3-5 mil. Responsible for tracking operational and logistic decision making and implementing a robust governance model involving internal and customer stakeholders.

Outcomes:

     Drives adoption of well-established delivery plans standards processes best software engineering practices right infrastructure RACI matrix and RAID Log to deliver high quality solutions to UST customers      Provide thought leadership to create a culture of innovation within the teams and develops innovative solutions to problems without precedent that improve business performance and contributes to organization goals      Manages the P&L of a portfolio with TCV of $3-5 mil      Support the portfolio (under direct span) growth objective of 10-15% YoY      Implement plans for a programme of digital transformation focusing on service improvements and value-adds; proposing innovative ideas to the customer beyond standard delivery      Build/Manage a span of control of 60 – 100 associates; providing individual and team mentoring ensuring high levels of team engagement and developing capabilities within team function and organization      Improve and optimize the overall delivery process within budget      Apply financial levers to improve the cost of delivery and thereby cater to or improve engagement level profitability      Engage/work with key client stakeholders and drive through the end-to-end requirements of the delivery; ensuring customer expectations are met   Conduct periodic reviews; tracking delivery milestones and processes. Make decisions and recommends approach based on the results from the reviews   Ensure effective participation in SteerCo meetings

Measures of Outcomes:

Revenue (Targets vs. Actuals) Profitability (Targets vs. Actuals) Digital Services Mix (Targets vs. Actuals) Services Penetration Mix (Targets vs. Actuals) Transformational Value Delivered to Client (as defined) Customer Satisfaction People Satisfaction

Outputs Expected:

Domain / Industry Knowledge:

Forecast the overall business requirements and market trends Have meaningful conversations with key client stakeholders
interpret the data and enhance the quality of the proposed solution Make useful recommendations based on existing gaps and recommend specific UST services / solutions Manage domain related project management issues in multiple projects Validate roadmap for customer strategy Review to contextualize the solution to the industry

Technology Concepts:

Recommend appropriate framework
approach
and solutions to meet the functional and non-functional requirements Identify technologies and products relevant to UST in the short term (1 to 2 years) Guide solution response team Guide team
evaluate work products
and connect to technology officers in customer organization Identify and leverage the most appropriate tools

Profitability Management:

Create profitability sheet based on resource plan Enable outcome-based pricing Present analysis to senior management Create cost benefit model using ROI
IRR and other management concepts Track and monitor profitability of projects on an ongoing basis Change pyramid
rate changes and other onshore / offshore changes Improve project margins
utilization and reduce buffers to control project expenses

Pricing & Licensing Models:

Create an integrated pricing model Guide team members to apply pricing techniques Interact with relevant stakeholders during deal process Compare
contrast and choose suitable commercial models among those practiced in the industry Optimize key levers of the business model to make the commercial proposal competitive

Account Management Processes and Tools:

Prepare internal reports Manage at least 1 account ($3-5 mil) independently including responsibility for top line and bottom-line targets; manage customer relations Work independently with account teams in mining account(s) Provide support to the specialist to create an account plan aligned to customer needs
UST approaches and strategies

Project Management:

Plan and manage large and complex projects as defined within UST Identify risks and mitigation strategies on an ongoing basis and implement the same for large / complex projects Proactively anticipate the risks and identify avoidance / mitigation strategies on an ongoing process Monitor complex integration / interdependence across work streams within the span of the project Implement best practices with measurable business value adds Set quality goals and processes Influences project strategy by proposing new or alternative solutions while being proactive in identifying issues and resolving them; balancing effectiveness and efficiency.

Team Management:

Effectively manage the managers Resolves team conflicts with a proven ability to implement and communicate difficult decisions Maintains positive business relationships among internal stakeholders Demonstrates approachability and transparency in working with the team

Stakeholder Management:

Manages escalations from customers by providing frequent updates to both UST and customer leadership on resolution progress Plans and supports vendor/partner management activities– vendor/partner assurance
procurement
invoice approvals Ensures invoicing on time and collection of payments from customers

Estimation and Resource Planning:

Consolidate estimates at a solution level
evaluate risks and validate estimates from a technical standpoint
with assumptions
scope and boundaries defined Review
validate and negotiate estimates across service lines Conduct resource planning (pyramid
people development) at a project level based on project requirements Conduct impact analysis for changes and analyse corresponding impact to overall estimates
resource loading Review project scope and schedule in project plan

Knowledge Management (KM):

Ensure that the KM plan / platform exists for all new joiners to the engagement Harness project level learning's across the engagement Promote continuous knowledge management Define and improve Knowledge Management Effectiveness for the engagement

Requirements Management:

Identify deviations in requirements gathering process with the customer Leverage UST capabilities
experience to identify solution accelerators
and value adds to the customer Assess the quality
content and coverage of the requirements gathered

Solution Structuring:

Customize UST service offerings for customer needs Provide thought leadership based on the pattern to come up with additional service offerings Carve out complex solutions / POCs for a customer based on their needs Recommend technology specific accelerators / tools for the overall solution along with optimal features e.g. time savings
cost benefits Build strategies
standards and guidelines for existing services

Benefits Management:

Identify
track and report SMART benefits for a program Identify impact of the program to various stakeholders Identify impact of program environment changes to the benefits Measure and report outcomes on a defined frequency Devise an action plan if there is a risk of not realizing desired benefits Steer the program towards the desired vision
with sustained and timely realization of benefits

undefined:

Steer the program towards the desired vision
with sustained and timely realization of benefits

Skill Examples:

     Account strategy planning      Identify project risks and define action plans to mitigate      Define a project plan by breaking it down into individual project tasks      Communicate project progress to all relevant parties reporting on topics such as cost control schedule achievements quality control risk avoidance and changes to project specifications      Delegate tasks and manage team member contributions appropriately      Manage external contracted resources to achieve project objectives Optimise project portfolio timelines and delivery objectives by achieving consensus on stakeholder priorities

Knowledge Examples:

Project methodology including approaches to define project steps and tools to set up action plans Technologies to be implemented within the project Company business strategy and business processes Development and compliance to financial plans and budgets IPR principles and regulation Structured project management methodologies (e.g. agile techniques DevOps)

Additional Comments:

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data solutions, from data architecture and ingestion to processing, analysis, and reporting. This role ensures that data projects are completed on time, within scope, and aligned with business objectives. The Data Delivery Manager works with cross-functional teams, including data engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key Responsibilities: Project and Program Management: o Lead and manage the delivery of data-driven projects, ensuring they are completed on time and within budget. o Develop and maintain project plans, timelines, and resource allocation. o Monitor project progress and proactively identify risks, implementing solutions to ensure successful project completion. o Ensure alignment between data initiatives and business goals, maintaining continuous communication with stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business stakeholders and the data team, translating business requirements into technical specifications. o Collaborate with business leaders to understand data needs and develop solutions that meet those needs. o Provide regular updates on project status, risks, and key deliverables to stakeholders and leadership teams. o Facilitate meetings to gather requirements and communicate project milestones. Data Strategy & Architecture: o Oversee the design and implementation of data solutions that support business objectives. o Ensure adherence to data governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data architects to define scalable, secure, and high-performance data architectures. o Support data integration initiatives across different platforms, ensuring smooth and efficient data flow. Team Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and other professionals to deliver projects effectively. o Provide leadership and mentoring to team members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear expectations, performance goals, and career development opportunities for the team. o Address and resolve any team challenges, ensuring high levels of productivity and motivation. Quality Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust testing, validation, and review processes. o Develop and enforce data standards, best practices, and methodologies to ensure consistent, high-quality deliverables. o Drive continuous improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk Management and Troubleshooting: o Identify potential risks to project delivery, including data pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o Troubleshoot and resolve data-related issues and challenges during the project lifecycle. Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and performance metrics. o Ensure that data solutions provide actionable insights for the business, driving informed decision-making. Experience: o 5+ years of experience in managing programs related to data management, data engineering, or analytics. o Proven track record in managing data projects and delivering data solutions in a timely manner. o Experience with data integration, data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL processes, and data analytics. Skills: o In-depth knowledge of data management tools and technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure). o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership and team management skills, with the ability to drive collaboration across different functions. o Excellent communication skills with the ability to translate complex data-related concepts into understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau, Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies (e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data solutions. o Experience with data governance and compliance (e.g., GDPR).